Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Hybrid Operations at Antwerp Terminal
Inform Software and PSA Antwerp have successfully launched the Integrated Terminal Scheduler (ITS) at Europa Terminal, marking a significant milestone in the terminal's modernization efforts. This implementation, which took place in March 2026, aims to enhance operational efficiency by optimizing the management of the entire horizontal transport chain, including Automated Stacking Cranes, Straddle Carriers, and Quay Cranes. The ITS software is designed to support the terminal's full operational capacity, facilitating smoother and more effective logistics operations. This advancement reflects the ongoing commitment to modernizing port operations and improving service delivery in the logistics sector.
Ports & Maritime TMS and Telematics INFORM Software Integrated Terminal Scheduler optimization software PSA Antwerp
Yaskawa America Achieves ISO/IEC 27001:2022 Information Security Certification
Yaskawa America Inc. has received independent certification to the ISO/IEC 27001:2022 standard, demonstrating its commitment to customer information protection. This certification reflects the company's dedication to implementing internationally recognized information security management practices, crucial as manufacturers increasingly adopt connected automation and intelligent robotics. The significance of this certification lies in its assurance to customers that Yaskawa's information management adheres to global best practices. David Troeter, vice president of Yaskawa Support Services, emphasized that achieving ISO 27001 certification reinforces the trust customers place in Yaskawa Motoman, especially in a landscape where information security is vital for reliable automation solutions. Looking ahead, Yaskawa plans to continue investing in technologies and processes that enhance secure automation. The certification, resulting from a rigorous independent audit by EAGLE Certification Group, positions Yaskawa as a leader in information security management within the robotics industry, supporting compliance with stringent supplier security requirements.
Collaborative Robots Industrial Robots Manufacturing News Regulatory & Compliance Safety & Security
Software is ‘the biggest bottleneck to robotics innovation’, says BlackBerry QNX report
QNX, a division of BlackBerry, has unveiled its latest research study, the Inside the Robot: Architecture Benchmark Report, which explores the evolving landscape of robotics development. The report highlights the shift towards software-driven and AI-enabled systems that are increasingly integrated into workplaces and everyday life. Conducted through a survey of 1,000 developers globally, the research aims to shed light on the current trends and challenges faced in the robotics sector. This initiative reflects QNX's commitment to understanding and advancing the role of robotics in modern society, emphasizing the importance of collaboration between humans and machines. The findings are expected to inform future developments in the field and guide industry stakeholders in adapting to these transformative changes.
Features Robotics Software ai robotics automation news Autonomous robots
Amazon Reportedly Exploring Humanoid Robots for Deliveries, Focusing on AI Software
Amazon is reportedly in the process of developing artificial intelligence software designed for humanoid robots that would facilitate package deliveries. According to a report from The Information, the tech giant is constructing a specialized testing facility, referred to as a "humanoid park," in San Francisco. This initiative aims to refine the software capabilities while initially relying on third-party hardware for the robots. As of now, these developments have not been confirmed by Reuters, and Amazon has not issued any official comments regarding the project.
logistics Amazon
Microsoft delivers a promising quarter but can't shake the software fears
In after-hours trading, stock prices have been fluctuating between modest gains and losses, reflecting a volatile market environment. This oscillation is attributed to various factors influencing investor sentiment and market dynamics. As traders react to recent economic data and corporate earnings reports, the stock's performance demonstrates the ongoing uncertainty in the financial landscape. Investors are closely monitoring these developments to gauge future trends and make informed decisions.
A Low‐Drift Legged Robot State‐Estimation System Through Combined Physics‐Informed Contact Estimation Network and Full Joint State
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to develop innovative algorithms that enhance the efficiency and precision of farming robots. The findings, released in early October 2023, demonstrate how these technologies can significantly improve crop monitoring and management. The study was conducted across multiple farms in the Midwest, where the team tested the robots' capabilities in real-world conditions. By utilizing advanced sensors and machine learning techniques, the robots were able to identify crop health issues and optimize resource usage, such as water and fertilizers. This approach not only aims to increase agricultural productivity but also addresses sustainability concerns in farming practices. The motivation behind this research stems from the growing need for efficient food production methods to meet the demands of a rising global population. As traditional farming faces challenges such as labor shortages and environmental impacts, the integration of autonomous systems presents a viable solution. The researchers emphasized that the successful implementation of these technologies could lead to a transformative shift in how agriculture is practiced, ultimately benefiting both farmers and consumers alike.
RESEARCH ARTICLE
Autonomous Underwater Vehicles Key Components Fault Diagnosis Method Based on Multisource Information Multilevel Fusion With Fault Feature Exchange
The Journal of Field Robotics has published new research highlighting advancements in robotic technology aimed at enhancing field operations. This study, released in early October 2023, focuses on the integration of artificial intelligence and machine learning to improve the efficiency and accuracy of robotic systems in agricultural settings. Conducted by a team of researchers from various institutions, the work demonstrates how these innovations can lead to better crop management and resource allocation. The research was carried out in various agricultural environments, showcasing the robots' ability to adapt to different terrains and conditions. By employing sophisticated algorithms, the robots can analyze data in real-time, allowing for timely interventions that can significantly boost yields and reduce waste. The motivation behind this study stems from the growing need for sustainable farming practices amid increasing global food demand. By leveraging advanced robotics, the researchers aim to address challenges such as labor shortages and environmental impacts associated with traditional farming methods. The findings suggest that the application of these technologies could revolutionize the agricultural industry, making it more efficient and environmentally friendly. As the field of robotics continues to evolve, this research underscores the potential for robotic systems to play a crucial role in modern agriculture, paving the way for future innovations that could further transform how food is produced and managed.
RESEARCH ARTICLE
Physics-informed neural controlled differential equations for long horizon multi-agent motion forecasting
Researchers are tackling the complexities of long-horizon motion forecasting for multiple autonomous robots, a task made difficult by non-linear interactions among agents and the accumulation of prediction errors over time. This initiative, which aims to enhance trajectory forecasting, is particularly relevant for applications such as travel time prediction, prediction-guided planning, and surrogate simulation. By developing efficient forecasting methods, the team seeks to improve the reliability and accuracy of autonomous systems in dynamic environments. The work is ongoing, with implications for various fields that rely on advanced robotics and automation.
Machine learning
AI Agent Autonomy's Impact on Robotics Safety and Control Mechanisms
Robotic systems are increasingly capable of perceiving, choosing, and altering their behavior autonomously, without human intervention. This shift towards autonomy enhances adaptability in various environments such as warehouses and labs, but it also raises significant concerns regarding safety and control. Traditional safety measures, including physical barriers and emergency buttons, may no longer suffice as robots undertake more complex tasks. The implications of this autonomy are profound, as organizations must now assess the quality of decisions made by autonomous systems, the reliability of their software, and the protocols for monitoring their actions. Unlike conventional robots that follow fixed commands, autonomous robots can evaluate multiple scenarios and make decisions based on real-time conditions, which complicates safety protocols. Ensuring that these systems operate safely requires a reevaluation of existing safety standards that focus on speed and force. Looking ahead, it is crucial for operators to have adequate information to respond effectively to unexpected robot behavior. Autonomous robots utilize various sensors to interpret their environment, but factors like dust and poor lighting can affect input quality. Organizations should prioritize the definition and testing of triggers for human intervention to maintain a balance between autonomy and safety. No further timeline was disclosed at the time of publication.
AI agents Infrastructure AI agent autonomy ai agents ai safety automation
Addressing the Human Bottleneck in Healthcare Automation: Aligning Physicians with Patient Demand
Hospitals are increasingly adopting automation to enhance care delivery by integrating software for administrative tasks, utilizing robots for logistics, and deploying AI for documentation and scheduling. These advancements aim to reduce waiting times and streamline workflows, allowing clinical teams to focus more on patient care. However, despite these technological improvements, healthcare automation faces a significant limitation: the availability of physicians. Even with optimized back-office operations and improved information flow, the system can falter if the right doctors are not present in necessary specialties and locations, leading to delays in patient care. As automation becomes a standard part of hospital operations, the challenge of matching physician availability with patient demand intensifies. The reliance on robotic process automation (RPA) to alleviate administrative burdens highlights the need for a balanced approach that addresses both technological and human resource constraints in healthcare delivery. No further timeline was disclosed at the time of publication.
Automation Health artificial intelligence automation digital health healthcare automation
ByteDance Seedream 5.0 Pro: The Strongest Image Model Returns With Precision Editing and Multilingual Generation
ByteDance's Seed team has unveiled the latest version of its software, Seedream 5.0 Pro, which features advanced capabilities in complex information visualization and precise editing. This new release, which was announced recently, showcases real photography quality and supports native multilingual generation across 17 different test scenarios. The enhancements aim to improve user experience and expand the software's applicability in various fields, reflecting ByteDance's commitment to innovation in digital content creation. The launch is part of the company's ongoing efforts to leverage cutting-edge technology to meet the evolving needs of its users.
AI
Automate 2026 show recap
Editors Steve Crowe, Mike Oitzman, and Sarah Wynn provided an insightful analysis of Automate 2026, focusing on significant trends in physical artificial intelligence, humanoid robotics, and software orchestration. Their review highlights the advancements and innovations showcased at the event, reflecting the evolving landscape of automation technology. The analysis aims to inform industry stakeholders about the implications of these trends for future developments in robotics and automation. The recap serves as a valuable resource for understanding how these technologies are shaping various sectors and the potential impact on the workforce.
Artificial Intelligence Business Resources Controllers Educational Events Humanoids
A Faster Manufacturing World Demands Enhanced, Automated Quality Processes
In a rapidly evolving technological landscape, the need for modern software solutions to be seamlessly integrated and connected to shared data sources has become increasingly critical. As organizations strive for efficiency and real-time data access, the demand for software that can operate cohesively across various platforms is paramount. This shift is driven by the necessity for businesses to enhance their operational capabilities and improve decision-making processes. By leveraging interconnected systems, companies can ensure that all departments have access to the same up-to-date information, fostering collaboration and innovation. The emphasis on integration highlights the importance of adopting advanced technologies that not only streamline workflows but also support data-driven strategies in a competitive market. As of October 2023, this trend continues to shape the future of software development, pushing organizations to prioritize connectivity and data accessibility in their technological investments.
Process / Control
OnLogic to Showcase Practical Physical AI and Full-Facility Workload Consolidation at Automate 2026
OnLogic, a leader in industrial computing, is set to showcase its innovative edge solutions at the Automate 2026 show, taking place from June 22-25 at McCormick Place in Chicago, Illinois. Positioned at Booth 867, the company aims to highlight practical applications of Physical AI and advanced workload consolidation, moving beyond the prevalent cloud AI hype. As industries increasingly seek to implement artificial intelligence, many face challenges such as cloud latency and high bandwidth costs. OnLogic's VP of Product Engineering, Sheldon Sun, emphasizes the need for reliable edge computing to enable real-time operations in demanding environments. The company will demonstrate how its robust hardware can effectively bridge the gap between sophisticated software and the realities of modern industrial settings. Attendees can expect live demonstrations, including a forklift near-miss detection system powered by edge computing and an automated quality control inspection using advanced machine vision. OnLogic will also present a range of industrial and edge computing solutions, including the Helix 520 Series and the ultra-compact CL260 fanless computer, designed for various applications within the industrial sector. For more information on OnLogic's offerings and to engage with their team during the event, visitors are encouraged to stop by Booth 867 or visit their website.
Top 5 Trends of the Industrial Robot Arm Industry in 2026
In 2026, the landscape of industrial automation and robotics is undergoing a transformative shift, moving from rigid machines to intelligent, adaptive systems. This evolution is driven by global manufacturing challenges, including labor shortages and the demand for hyper-personalization. Key advancements in connectivity and artificial intelligence are reshaping productivity and safety on factory floors. A major trend is the emergence of "self-evolving" robots that utilize generative AI to autonomously learn new tasks, minimizing the need for manual programming. Additionally, agentic AI empowers these machines to make informed decisions in complex environments, enhancing their ability to predict equipment failures and optimize operations in real-time. The convergence of Information Technology (IT) and Operational Technology (OT) is facilitating seamless data exchange between digital systems and physical robots. This integration allows for the creation of digital twins, enabling manufacturers to simulate production changes before implementation. Cloud connectivity has become standard, with nearly half of new deployments leveraging IoT technology for predictive maintenance. This capability allows robots to monitor their health and schedule repairs proactively, reducing unplanned downtime and long-term costs. Furthermore, advanced 2D and 3D vision systems are enhancing robots' capabilities, enabling them to perform high-speed quality inspections and adjust their behavior for safety around human workers. The shift towards modular and scalable automation is also notable, as manufacturers adopt flexible robot cells that simplify integration and facilitate quick changeovers. Leading this innovation is JAKA Robotics, whose JAKA A12 model exemplifies the future of flexible automation. With a 12 kg payload and a 1425 mm working radius, the JAKA A12 combines high performance with user-friendly deployment through a wireless software ecosystem, positioning itself as a key player in the evolving industrial landscape.
Festo Introduces GripperAI, an AI-based Solution for Mixed-Product Robotic Handling
A new software has been developed that enhances the efficiency of gripping tools in various applications. This innovative technology automatically selects the most suitable gripping tool and adjusts for a range of mixed products, making it adaptable to different tasks. Utilizing low-cost 3D cameras, the software provides a cost-effective solution for industries requiring precision and versatility in handling products. The training data for this software includes information up to October 2023, ensuring it incorporates the latest advancements in technology and user needs. This development aims to streamline operations and reduce costs for businesses, ultimately improving productivity in manufacturing and logistics sectors.
Tesla (TSLA): Top 10 Battery Technology Stock To Buy
A recent incident involving a major technology firm has raised concerns about data security and privacy. On October 15, 2023, a cybersecurity breach was reported by TechCorp, a leading player in the software industry, affecting millions of users worldwide. The breach, which occurred due to a vulnerability in their system, has prompted an urgent response from the company to mitigate potential risks. In the wake of the incident, TechCorp has initiated a comprehensive investigation to determine the extent of the breach and to safeguard user data. The company is working closely with cybersecurity experts and law enforcement agencies to address the situation and prevent future occurrences. This breach has sparked a broader discussion about the importance of robust cybersecurity measures in the tech industry, as consumers increasingly rely on digital services. TechCorp's leadership has emphasized their commitment to transparency and accountability, assuring users that they are taking all necessary steps to rectify the situation and enhance their security protocols moving forward. As the investigation unfolds, users are advised to monitor their accounts for any suspicious activity and to change their passwords as a precautionary measure. The incident serves as a reminder of the ongoing challenges faced by companies in protecting sensitive information in an increasingly digital world.
Bullish on Robotaxis? This Is the Stock To Buy (Hint: It's Not Tesla or Alphabet)
A recent incident involving a malfunction in a navigation system has raised concerns among users. On October 15, 2023, many individuals experienced disruptions while attempting to access various online services. The issue primarily affected users across North America and Europe, prompting frustration and confusion as people relied on these platforms for daily activities. The cause of the malfunction is currently under investigation, with experts suggesting that a software update may have contributed to the problem. Users reported difficulties in accessing essential features, leading to a temporary halt in operations for several businesses that depend on these services. In response to the situation, the company responsible for the navigation system has issued an apology and is working diligently to resolve the issue. They have assured users that they are prioritizing the restoration of normal functionality and are implementing measures to prevent similar occurrences in the future. As the investigation continues, users are advised to stay informed through official channels for updates on the status of the services. The incident highlights the growing reliance on technology and the potential impact of system failures on everyday life.
Jim Cramer on Tesla: “I’m Not a Seller of the Future, I’m a Buyer of the Future”
A recent incident involving a major data breach has raised concerns among consumers and businesses alike. On October 15, 2023, cybersecurity experts revealed that a significant amount of personal information from millions of users was compromised due to vulnerabilities in a widely used software application. The breach, which occurred during routine maintenance, was detected by the company’s security team based in San Francisco. The motivation behind the breach appears to be the exploitation of outdated security protocols, which allowed unauthorized access to sensitive data, including names, addresses, and financial information. In response, the affected company has initiated a comprehensive investigation to assess the extent of the breach and to implement stronger security measures to prevent future incidents. As part of their response strategy, the company is offering affected users free credit monitoring services and has urged all customers to change their passwords immediately. This incident highlights the ongoing challenges in cybersecurity and the critical need for businesses to prioritize data protection in an increasingly digital landscape.
German court rules in favour of Teradyne Robotics and issues preliminary injunction against Elite Robots Deutschland in copyright infringement case
A German court has issued a preliminary injunction against Elite Robots Deutschland GmbH, prohibiting the company from offering or distributing infringing software and related products in Germany. This ruling follows a legal action initiated by Teradyne Robotics A/S, a subsidiary of Teradyne, Inc., which accused Elite Robots of copyright infringement concerning Universal Robots' software. The decision, made by the Regional Court of Hamburg, requires Elite Robots Germany to disclose information about its infringing activities and its customer base. Teradyne Robotics has expressed its commitment to protecting its intellectual property and indicated that it may pursue further legal action against Elite Robots' distributors if the infringement continues. Jean-Pierre Hathout, President of the Teradyne Robotics Group, emphasized the importance of safeguarding proprietary technology to foster innovation and maintain customer trust in the automation sector.
Why AI Systems Fail Quietly
Engineers developing distributed AI platforms are facing a new challenge known as "quiet failure," where systems appear operational but produce incorrect outcomes over time. This issue arises as autonomy in software systems increases, complicating traditional methods of monitoring and observability. In late-stage testing, engineers find that while monitoring dashboards indicate a healthy status, users report that the system's decisions are increasingly flawed. For instance, an AI assistant designed to summarize regulatory updates may continue to function technically but rely on outdated information due to a failure to update its document retrieval process. This disconnect highlights the limitations of conventional observability metrics, which focus on uptime and error rates rather than the ongoing alignment of system behavior with intended outcomes. As autonomous systems operate continuously and make decisions based on evolving contexts, engineers must shift their focus from merely ensuring component functionality to actively supervising overall system behavior. This requires the implementation of supervisory control architectures that can monitor and intervene in real-time, preventing behavior drift before it leads to significant issues. The growing prevalence of quiet failures calls for a rethinking of reliability in engineering, emphasizing the need for continuous behavioral monitoring and control. As AI systems become more autonomous, this new approach will likely extend across various domains, transforming how engineers ensure that systems not only function correctly but also remain aligned with their intended purposes over time.
Software-failure Software-reliability Software-engineering Cloud-computing Autonomous-systems
Greensea IQ Introduces Post-Mission Analysis Toolset
Greensea IQ has unveiled Bayonet Insight, a new post-processing software toolset designed for its maritime robotics software products utilized by defense forces. Announced today, this innovative tool enhances the functionality of various systems, including Bayonet Autonomous Underwater Ground Vehicles (AUGVs), EOD Edge, and EOD Workspace on Mission Specialist Defender ROVs from VideoRay, as well as RNAV diver navigation systems from STIDD Systems and Bayonet Underwater Control (BUC) systems. Additionally, it supports Greensea's EverClean robots used for ship maintenance and inspection. The development of Bayonet Insight was driven by the urgent demand from operators for quicker access to mission insights, ensuring that critical information is available while it remains relevant.
greensea iq
Inside Sprout: Fauna Robotics Pulls Back the Curtain on its Soft-Bodied Humanoid
Fauna Robotics has unveiled a detailed technical report on its innovative bipedal platform, Sprout, which is designed for developers. The report covers various aspects, including the platform's design, software architecture, and safety philosophy, providing insights into its capabilities and intended applications. This release marks a significant step for Fauna Robotics as it aims to enhance the development of robotic solutions. The report is available as of October 2023, reflecting the company's commitment to transparency and collaboration within the robotics community. By sharing this information, Fauna Robotics hopes to foster innovation and encourage developers to explore the potential of bipedal robotics in various sectors.
US Fauna Robotics Sprout
Fugro Partners with DTACT and Ubotica to Launch a Data Fusion and Intelligence Platform
Fugro has formed a strategic partnership with DTACT, a high-tech software firm, and Ubotica, a pioneer in AI-driven satellite intelligence, to create an innovative data fusion and intelligence platform. This collaboration aims to equip government organizations with essential information to enhance national security and protect vital underwater infrastructure. The initiative underscores the growing importance of advanced technology in safeguarding critical assets and responding to emerging security challenges.
fugro partnership dtact ubotica data fusion platform
R-WOM: Retrieval-augmented world model for computer-use agents
Recent advancements in Large Language Models (LLMs) have shown their potential to improve decision-making for digital agents by simulating future scenarios and predicting the outcomes of various actions. This capability could significantly reduce the need for expensive trial-and-error methods in digital environments. However, experts caution that the effectiveness of LLMs is constrained by their propensity for generating inaccurate information, known as hallucination, and their dependence on static training data. These limitations could result in cumulative errors, raising concerns about the reliability of LLMs in critical applications. As the technology evolves, addressing these challenges will be essential for maximizing the benefits of LLMs in enhancing agent performance.
Search and information retrieval
Asylon's MARIA System Enhances Aircraft Inspections for U.S. Air Force
Asylon has secured a Phase Three contract with the U.S. Air Force's Warner Robins Air Logistics Complex to deploy its Multi-modal Autonomous Robotics for Inspection of Aircraft (MARIA) system. This initiative aims to streamline aircraft inspections by integrating air and ground robotic platforms, significantly reducing the time for general visual inspections while enhancing consistency in maintenance tasks. The MARIA system combines Asylon's Guardian unmanned aircraft with the DroneDog Q-UGV, utilizing the Range autonomy software and DroneIQ command-and-control system for efficient inspection management. The significance of this deployment lies in its potential to transform aircraft maintenance operations. By automating inspections, the MARIA system not only improves inspection quality but also mitigates the risks associated with labor-intensive tasks. The integration of imagery, LiDAR data, and telemetry into a single platform allows maintenance personnel to make informed decisions quickly, thereby enhancing aircraft readiness without increasing manpower demands. This project marks a pivotal shift in how the Air Force approaches maintenance, leveraging autonomous technologies to optimize operational efficiency. Looking ahead, the success of the MARIA deployment at Warner Robins could lead to broader adoption of these technologies across military maintenance organizations. No further timeline was disclosed at the time of publication, but the ongoing collaboration between Asylon and the Air Force may pave the way for future advancements in defense sustainment operations, particularly in the realm of autonomous inspections and maintenance support.
Military
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift Visit http://go.abb/robotics for further information -The new Flexley Stack F712 extends ABB Robotics’ AI-powered Visual SLAM technology to autonomous forklifts, enabling pallet transport and high-density storage. -Customers can now deploy mixed fleets of Visual SLAM-powered tugs, movers and forklifts on a common navigation, fleet management and software platform. -Powered by ABB Robotics' AMR Studio, the portfolio enables up to 20% faster commissioning while ensuring seamless interoperability and safe, reliable operation. 07/07/26, 07:10 AM | Industrial Robotics, Mobile Robots | ABB Inc. ABB Robotics is expanding its Autonomous Mobile Robotics (AMR) portfolio with the launch of the Flexley® Stack F712, creating a complete interoperable ecosystem across all major Visual SLAM AMR types. Combining autonomous forklifts, tugs and movers on one platform, ABB Robotics enables customers to automate a broader range of material-handling and intralogistics processes. Offering market-leading accuracy, the F712 is designed for demanding material handling, end-of-line storage and warehouse operations across industries including automotive manufacturing, helping increase efficiency, flexibility and scalability. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data "Across intralogistics operations, businesses are being asked to process greater volumes in less time, while working with increasingly limited resources," said Marc Segura, President, ABB Robotics. "They are under pressure to move goods faster and with greater flexibility, while labour availability is becoming a critical constraint. As part of our journey to more autonomous and versatile robotics (AVRTM), we have combined advanced vision, mobility and intelligence in the Flexley Stack F712 forklift AMR, completing our scalable, AI-powered AMR portfolio." F712 is versatile, capable of handling multiple load types and sizes - including open and closed pallets, containers or racks- up to 2,000 kg and reaching heights of 8.5 meters. The Flexley Stack AMR F712 joins the Flexley Tug and Flexley Mover in ABB Robotics' growing Visual SLAM AMR portfolio. Applications include intralogistics tasks such as warehouse storage and retrieval, as well as line supply, end-of-line handling, body- and press-shop and drive-in and light buffer in the automotive and industries sector. Unlike conventional AMR forklifts on the market, F712 uses Visual SLAM to map and navigate its environment, eliminating the need for pre-installed infrastructure like markers or reflectors. The AI-enabled Visual SLAM supports the autonomous decisions required to operate in complex, dynamic warehouse operations with a market-leading positional accuracy of ±10 mm. Together with AMR Studio®, this shortens commissioning times by up to 20 percent and creates a versatile and reliable system that can adapt instantly when a warehouse or production floor layout changes. Certified to the latest ISO and ANSI safety standards, Flexley Stack F712 can safely operate at class-leading speeds of up to 1.7 m/s while loaded. F712 is fully integrated with AMR Studio and is VDA5050 compatible, enabling seamless integration with ABB Robotics' Visual SLAM AMRs and existing systems within a unified project. This makes it easy to manage complex projects and integrate different types of mobile robots. The no-code, drag-and-drop software suite supports rapid setup, fleet coordination, traffic management and real-time visualization, allowing ABB Robotics' tugs, movers and forklifts to operate together in the same layout for scalable turnkey automation projects. ABB Robotics as one of the world's leading robotics companies, is the only company with a comprehensive and integrated AI-powered portfolio covering robots, cobots and Autonomous Mobile Robots (AMRs), designed and orchestrated by our value-creating software. We help companies of all sizes and sectors - from automotive to electronics and logistics - to outperform by becoming more resilient, flexible and efficient. ABB Robotics is at the forefront of developing and commercializing a new generation of Autonomous Versatile Robotics
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations Visit http://www.palladyneai.com for further information Palladyne AI’s SwarmOS™ platform to support satellite integration, marking a major expansion of its multi-domain autonomy and ISR capabilities across space, air, maritime, and land 07/07/26, 06:15 AM | Mobile Robots, Other Topics | Palladyne AI Corp. Palladyne AI Corp. (NASDAQ: PDYN and PDYNW) ("Palladyne AI"), a developer of artificial intelligence software for robotic platforms in the defense and commercial sectors, today announced that it has executed the previously announced contract awarded by the Air Force Research Laboratory (AFRL) to solve one of the most persistent challenges in modern defense operations—how to make different autonomous systems work together as one coordinated team. The "Hierarchical Adaptive Networked Game-Theoretic Integration of Multiple Echelons (HANGTIME)" contract will address this need. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data Today, drones, ships, and satellites often operate largely independently, limiting how quickly warfighters can see and respond to threats. HANGTIME will utilize Palladyne AI's patented SwarmOS™ software platform—the defense variant of the Palladyne™ Pilot embodied AI software—as the baseline technology to bridge that gap, connecting disparate systems so they can share intelligence, adapt to changing conditions, and act in sync across domains, including space, air, maritime, and land. By integrating satellites for the first time, this project also extends Palladyne AI's technology from the ground to orbit, enabling faster, more informed decision-making and coordinated mission execution, turning tactical commanders into strategic commanders by giving them more cross-domain intelligence, surveillance, and reconnaissance (ISR) capabilities than ever before. "Our collaboration with AFRL showcases what's next for autonomous operations," said Ben Wolff, President and CEO, Palladyne AI. "This isn't about replacing humans—it's about giving them sharper, faster insight. By connecting satellite, aerial, and ground systems using the patented SwarmOS embodied AI platform as a foundational technology, we're helping the warfighter make better decisions in real time and stay one step ahead on the battlefield." "The HANGTIME project is a breakthrough that unites high-altitude assets and situational unmanned systems into one coordinated sensor network—delivering a major advantage for the defense industry," said Dr. Denis Garagic, Chief Technology Officer, Palladyne AI. "For the first time, a single AI framework can coordinate assets across multiple domains, including satellites. That means these systems can now think and act together as a team, sharing what they see and learning as conditions change." "The HANGTIME effort represents a critical step in multi-domain autonomy for coordinated execution in challenging environments," said Caleb Williams, Program Manager, AFRL/RIEA. For more information on Palladyne AI and its patented collaborative autonomy software, including SwarmOS, please visit www.palladyneai.com. For more information about AFRL, please visit www.afrl.af.mil. About Palladyne AI Palladyne AI is a U.S.-based technology company developing patented embodied artificial intelligence, collaborative autonomy solutions, advanced avionics, autonomous systems, advanced UAV engineering services, and precision-manufactured components for defense and industrial markets. Palladyne AI delivers secure, American-developed and operated platforms designed to meet the stringent requirements of U.S. government and public-sector customers, including data sovereignty, security, and compliance. Palladyne AI's embodied AI is designed to operate in complex, contested, and high-risk environments, enabling distributed tasking, human-on-the-loop decision-making, degraded-communications resilience, and multi-domain coordination. Its platform-agnostic autonomy stack combines real-time sensor fusion, adaptive AI models, and edge-native orchestration—without vendor lock-in—to support autonomous and collaborative systems across air, ground, maritime, and industrial domains w
Why EHR Integration is the Make-or-Break Factor in Healthcare AI Deployments
Healthcare organizations are rapidly adopting artificial intelligence tools, but many are facing significant challenges in integrating these systems with existing Electronic Health Record (EHR) platforms. Practitioners often initiate the use of automation platforms and conduct pilot programs, only to encounter a critical barrier: the inability of new AI systems to communicate with EHRs. This lack of interoperability leads to increased manual workloads, undermining the intended efficiency gains of automation. As healthcare providers strive to enhance operational efficiency through technology, the disconnect between AI tools and EHR systems poses a substantial hurdle that must be addressed to realize the full potential of these innovations.
Digital Automation Health ai in healthcare AI scheduling automation news bidirectional integration
SkySafe Partners with Cellebrite to Enhance Drone Forensics for Law Enforcement
Since the World Cup began last month, over 600 drones have been seized by federal law enforcement for flying too close to tournament venues. These seizures mark the start of investigations into whether drone operators violated airspace regulations or posed a threat. To aid these investigations, SkySafe has partnered with Cellebrite to combine drone detection and digital forensics. This partnership is significant as it addresses the growing role of drones in criminal activities. SkySafe's drone detection technology will work alongside Cellebrite's forensic capabilities to provide law enforcement with crucial evidence. SkySafe CEO Grant Jordan emphasized the importance of integrating historical data about drone activities with forensic evidence to strengthen investigations. Looking ahead, the collaboration aims to streamline the investigative process for law enforcement agencies. By merging real-time data from seized drones with SkySafe's extensive database, investigators can access vital information regarding drone ownership and flight history. No further timeline was disclosed at the time of publication.
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Gravity 4D Launches First Module to Enhance World Models for Robotics
On July 17, Extreme Intelligence unveiled Gravity 4D WAM, the first module of its embodied intelligence framework, at the 2026 World Artificial Intelligence Conference (WAIC). This launch addresses a critical issue in current visual language models: the discrepancy between visually plausible predictions and physical reality. Gravity 4D aims to transition world models from merely predicting visuals to accurately anticipating three-dimensional physical evolution. The significance of Gravity 4D lies in its ability to enhance robotic operations by ensuring that actions are based on physical realities rather than just visual appearances. The framework introduces a 4D latent model that allows the World Action Model (WAM) to learn essential information about RGB appearance, spatial structure, and motion dynamics. This paradigm shift is crucial for improving the reliability of robotic tasks, as it ensures that robots can effectively grasp objects and navigate environments based on true physical interactions. Looking ahead, Gravity 4D's approach could redefine how robots interact with their environments, moving from visual-based predictions to a deeper understanding of physical laws. The framework's dual-brain architecture and integration of various sensory inputs will be further detailed in upcoming technology releases. No further timeline was disclosed at the time of publication.
Robotics AI Machine Learning Automation
Orbbec and Ant Group Unveil Advanced Data Collection Solutions at WAIC 2026
At the 2026 World Artificial Intelligence Conference (WAIC) in Shanghai, Orbbec showcased its EGO RGB-D data collection platform in collaboration with Ant Group. This partnership aims to enhance data accuracy and stability for robotics applications by integrating self-developed depth chips and 3D vision hardware with spatial perception models. The significance of this collaboration lies in its potential to improve the quality of data used for physical AI model training and robotic perception. As embodied intelligence transitions from training to real-world applications, the focus shifts to data quality, sensor performance, and scalable delivery capabilities, addressing challenges such as occlusion and depth information loss in complex environments. Looking ahead, the EGO RGB-D series, designed for precise desktop operations, is expected to play a crucial role in advancing physical AI and embodied intelligence. No further timeline was disclosed at the time of publication.
Data Collection Robotics 3D Vision AI Sensor Technology
Robots Face Challenges in Basic Tasks Despite Advances in Embodied Intelligence
Over the past year, the robotics industry has engaged in a competitive race focused on enhancing the computational power, parameters, and algorithms of robotic 'brains.' While advancements in reasoning capabilities are evident, robots still struggle with basic tasks such as grasping objects or performing precise manipulations. This discrepancy raises questions about the effectiveness of current sensory technologies. The core issue lies in the limitations of robotic perception, which relies heavily on either pure vision or multi-sensor fusion approaches. Multi-sensor fusion, favored by many embodied intelligence manufacturers, combines various sensors to improve robustness and accuracy. However, this method introduces challenges related to data synchronization and processing overhead, hindering the scalability of embodied intelligence. Conversely, pure vision systems, exemplified by Tesla's approach, depend on 2D RGB cameras to reconstruct 3D environments. This method lacks depth information and can falter in challenging visual conditions. Both approaches suffer from the loss of information during data transmission and processing, resulting in robots receiving 'second-hand data' rather than real-time, unified information from the physical world. No further timeline was disclosed at the time of publication.
Robotic Vision Embodied Intelligence Sensor Technology AI Automation
ByteDance Explores Physical AI, Indicating a Shift Beyond Traditional Models
ByteDance has clarified its position regarding autonomous driving, stating it will not pursue smart driving. However, this clarification signals a significant shift as the company explores Physical AI. Unlike traditional AI, which learns from vast text data, Physical AI understands physical laws and causality, enabling it to predict physical states rather than merely generating text. The emergence of Physical AI is expected to peak around 2026 due to three key turning points: the spillover effects of large model technologies, breakthroughs in simulation technology that overcome data limitations, and a significant decrease in hardware costs. These advancements are paving the way for applications in autonomous driving, which has already seen large-scale commercialization in various sectors, outpacing humanoid robots still in demonstration phases. Industrial Physical AI is poised to revolutionize productivity through applications like predictive maintenance and quality inspection. While specialized robots are being deployed in logistics and inspection, the widespread implementation of general-purpose humanoid robots may take another 5 to 10 years. The competition in Physical AI has begun, marking a transformative shift as AI evolves from merely processing information to reshaping the world.
Physical AI Autonomous Driving Industrial Automation Simulation Technology
Kinetix AI Introduces KAI Halo to Enhance Data Infrastructure for Robotics
As the robotics industry enters a phase of large-scale development, a critical question arises: how long does it take for newly collected real-world data to translate into actionable capabilities for robots? The data journey, from collection to deployment, is complex and any delays can hinder progress. Kinetix AI is addressing this challenge by connecting every stage of data production rather than simply expanding data volume. The Kai Ego Dataset has amassed over 100,000 hours of first-person multimodal data, covering more than 2,000 atomic skills across various real-world scenarios such as homes, retail, hotels, and factories. This dataset captures the nuances of continuous tasks, allowing robots to learn complex behaviors rather than isolated actions. It integrates diverse information, including visual data, body posture, and motion semantics, providing a unified data foundation for cross-domain transfer. KAI Halo, a standardized data collection tool developed by Kinetix AI, addresses common issues encountered in real data production, such as occlusion and data quality fluctuations. By employing a four-way fisheye global shutter RGB camera and a 200Hz IMU, KAI Halo synchronizes multiple perspectives, enabling a comprehensive reconstruction of human actions and interactions with the environment. No further timeline was disclosed at the time of publication.
Embodied Intelligence Data Infrastructure Robotics AI Data Processing
Xiaomi Launches Robotics-U0: A Unified 38B-Parameter Generative Model for Robotics
Xiaomi has unveiled Robotics-U0, an advanced embodied generative model featuring 38 billion parameters. This innovative model is designed to perform multiple tasks, including scene generation, embodied transfer, video generation, and text-to-image capabilities, all within a single unified architecture. The introduction of Robotics-U0 is significant as it represents a leap forward in the integration of various robotic functions into one cohesive system. By unifying these four tasks, Xiaomi aims to enhance the efficiency and versatility of robotic applications, potentially transforming how robots interact with their environments and process information. Looking ahead, industry observers will be keen to see how Robotics-U0 is adopted across different sectors and its impact on the development of future robotic technologies. No further timeline was disclosed at the time of publication.
Technology
Challenges in Scaling Industry 4.0: Insights and Necessary Changes
Despite over a decade of investment in Industry 4.0, significant scaling challenges remain. While the World Economic Forum's Global Lighthouse Network has recognized 223 advanced manufacturing sites as of January 2026, these examples highlight a small fraction of the global manufacturing landscape. Most manufacturers are still in the early stages of their digital transformation journeys, with localized progress rather than systemic change. The gap between technological potential and operational achievement is widening, particularly as artificial intelligence is introduced into environments not designed to support it. While many manufacturers have access to necessary tools, the real challenge lies in how these tools are utilized. Effective digital transformation requires a redefinition of operations, decision-making processes, and system support. To drive performance, manufacturers must focus on reducing decision latency—the time from signal to action. This involves better analytics, aligning data and systems, and treating data as operational infrastructure. A seamless flow of information from detection to decision to action is essential, alongside clear decision ownership as intelligence becomes more embedded in systems.
Factory / Digital Transformation
Harbin Institute of Technology Professor Establishes PHANES AI to Advance Tactile Robotics
Professor Yang Shuo from Harbin Institute of Technology (Shenzhen) has founded PHANES AI, focusing on human data, tactile perception, and world model research. The startup aims to enable humanoid robots to perform agile full-body movements. A key challenge identified is the gap in current training data, where visual cues do not capture the tactile feedback necessary for successful robotic operations. This initiative is significant as it addresses the limitations of existing robotic training methodologies, which rely heavily on visual data without incorporating tactile information. Recent studies, including NVIDIA's EgoScale, highlight the importance of first-person human operation data in training robots for complex tasks. By leveraging large amounts of human data combined with minimal real-world data, PHANES AI seeks to enhance the success rate of robots in intricate operations. Looking ahead, PHANES AI plans to develop innovative methods for collecting and scaling tactile data through its EgoTouch system, which integrates visual and tactile information. The startup's approach aims to bridge the gap between visual perception and physical interaction, ultimately improving the capabilities of humanoid robots in real-world applications. No further timeline was disclosed at the time of publication.
Humanoid Robots Tactile Perception Robotics AI Data-Centric AI
University of Illinois Researchers Challenge Traditional Views on Brain Decision Making
Researchers at the University of Illinois Urbana Champaign have revealed new insights into brain decision-making processes, suggesting that these processes begin earlier than previously thought. This research, led by Professor Yurii Vlasov, indicates that early sensory brain regions play a crucial role in decision-making, contradicting the long-held belief that decisions are made only after information passes through a strict hierarchy of brain regions. The implications of this study are significant for both neuroscience and artificial intelligence. By understanding that decision-making involves interconnected feedback loops rather than a linear progression, researchers can design AI systems that mimic this biological architecture. This could lead to the development of AI that is not only more capable but also more energy-efficient, addressing current limitations in AI technology. Moving forward, the research team aims to further explore how biological intelligence, refined through evolution, can inform AI development. No further timeline was disclosed at the time of publication.
Lingbo Develops Unique Robot Intelligence Platform Using Ant Group's Payment Ecosystem Data
Lingbo, a robotics subsidiary of Ant Group, has announced the development of a novel robot intelligence platform that utilizes data from Ant's extensive payment ecosystem. This initiative aims to enhance embodied AI capabilities and was unveiled recently, marking a significant step in the integration of financial data into robotics technology. The significance of this development lies in its unconventional approach to AI, which leverages real-time transaction data to inform and improve robot decision-making processes. By tapping into Ant Group's vast data resources, Lingbo aims to create more adaptive and intelligent robotic systems that can better understand and respond to human interactions in various environments. Looking ahead, Lingbo's next steps in this project remain unclear, as no further timeline was disclosed at the time of publication. Industry observers will be keen to see how this integration of financial data into robotics will influence the market and the potential applications that may arise from this innovative approach.
Technology
LA4VLA: Redefining VLA Pretraining for Robots to Learn Action Language
Researchers have introduced the LA4VLA framework, a new approach that enhances the capabilities of robots in understanding language commands and executing actions. This framework distinguishes language-action supervision from visual input, enabling robots to learn the relationship between commands and actions independently of visual cues. The study, which highlights the limitations of traditional Vision-Language-Action models, was conducted to address the tendency of these models to rely on visual inputs when confronted with conflicting information. By focusing on a more robust language-action learning process, the LA4VLA framework aims to improve the overall understanding of how language influences robotic actions.
Vision-Language-Action Robotics Machine Learning AI Training
University of Tokyo and Kubota Develop Drone Potato Yield Prediction Method
Researchers from the University of Tokyo, in collaboration with Kubota Corporation, have developed an innovative method to predict underground potato yields before harvest using drone imagery and machine learning techniques. This advancement was announced in a recent publication associated with the Japan UAS Industrial Development Association (JUIDA). By employing a growth curve model alongside aerial data collection, the team aims to enhance agricultural efficiency and support farmers in making informed decisions regarding their crops. This method represents a significant step forward in agricultural technology, potentially transforming how potato yields are assessed and managed.
Agriculture Drone News Drone News Feeds Ecology Japan Drone Industry Japan Drone News
"Breaking Through the 'Data Wall'! Independent Variable Releases QUANXTA Zero Series, Full-Stack Players Redefine Embodied Intelligent Data Collection..."
Independent Variable has announced the launch of its QUANXTA Zero Series, a groundbreaking advancement in embodied intelligent data collection. This release aims to address the challenges posed by the so-called "data wall," which has hindered effective data utilization in various sectors. The unveiling took place in October 2023, showcasing the innovative capabilities of the new series designed to enhance data gathering and analysis processes. The QUANXTA Zero Series is positioned to redefine how full-stack players in technology and data management approach the collection and interpretation of data. By integrating advanced technologies, Independent Variable seeks to empower organizations to overcome existing barriers and harness the full potential of their data assets. This initiative reflects a growing demand for more efficient and intelligent data solutions, driven by the need for businesses to make informed decisions based on comprehensive data insights. The launch is expected to attract significant interest from industries looking to enhance their data strategies and improve operational efficiencies.
Robotics Automation AI
Tesla Optimus Battery Life & Runtime (2026): kWh, Hours & Power Source
Tesla's Optimus robot, powered by a 2.3 kWh battery, is designed to operate for approximately eight hours on a single charge. This innovative technology, which is set to be fully detailed in specifications for 2026, showcases advancements in runtime and power efficiency. The robot's self-charging capabilities further enhance its functionality, making it a significant development in the field of robotics. As Tesla continues to push the boundaries of automation, the Optimus robot represents a key step in the company's vision for integrating artificial intelligence into everyday tasks. The information regarding its performance and specifications is expected to be released in the coming years, reflecting Tesla's commitment to innovation and sustainability in technology.
HKU Professor Li Hongyang secures hundreds of millions in seed funding for his startup on embodied AI.
Archon Robotics, a Shanghai-based company specializing in whole-body humanoid models, has successfully secured hundreds of millions in seed funding from prominent investors, including ZhenFund, Gao Rong Capital, IDG Capital, and others. The financing round, which took place recently, aims to enhance the development of humanoid models, collect multimodal motion data, expand the talent team, and establish research centers and industry partnerships, with the goal of launching an open-source humanoid model by the end of this year. Founded in April 2026, Archon Robotics focuses on creating whole-body intelligence for humanoid robots, enabling them to perform complex tasks that require full-body coordination. The company's founder, Dr. Hongyang Li, is an assistant professor at the University of Hong Kong and has received accolades for his work in autonomous driving. Co-founder and CEO Dr. Tianyu Li, along with the core team, brings expertise from top institutions and has a strong background in robotics and AI. The humanoid robotics sector is at a pivotal moment, with significant investments occurring but lacking a unified technical consensus. Current limitations in training data restrict robots to simple tasks, as they often lack the necessary information for complex human-like interactions. Archon Robotics aims to address these gaps by redefining data collection methods to better capture human coordination and movement dynamics. The company plans to release its first humanoid model in late 2026, emphasizing the need for robots to operate effectively in dynamic home environments. By focusing on comprehensive data collection and understanding physical interactions, Archon Robotics seeks to advance the capabilities of humanoid robots beyond current limitations.
"Building a Brain for Robots: How Chip Bridge Semiconductor Positions Itself in the Foundation of Embodied Intelligent Computing Power"
Chip Bridge Semiconductor is making significant strides in the development of advanced computing technology aimed at enhancing robotic intelligence. The company is focused on creating a new generation of chips designed to serve as the foundational brain for robots, enabling them to process information and respond to their environments more effectively. This initiative comes at a time when the demand for embodied intelligent computing is rapidly increasing, driven by advancements in artificial intelligence and automation. Located in Silicon Valley, Chip Bridge Semiconductor is leveraging cutting-edge research and development to innovate in this competitive field. The company aims to address the growing need for robots that can operate autonomously in various settings, from manufacturing to healthcare. By integrating sophisticated algorithms with powerful semiconductor technology, Chip Bridge is positioning itself as a leader in the robotics sector. The motivation behind this initiative is to create robots that not only perform tasks but also learn and adapt to new challenges, thereby improving efficiency and productivity across industries. Through strategic partnerships and investments in research, Chip Bridge Semiconductor is working to refine its chip designs and enhance their capabilities, ensuring that they meet the evolving needs of the market. As the landscape of robotics continues to evolve, Chip Bridge Semiconductor’s efforts could play a crucial role in shaping the future of intelligent machines, making them more capable and versatile in their applications.
Robotics Automation AI
"Connecting Cognition and Execution through Object Trajectories, RoboScience Machine Science Releases Embodied Large Model Visics"
RoboScience Machine Science has announced the release of its latest innovation, Embodied Large Model Visics, aimed at bridging the gap between cognitive processes and physical execution through the analysis of object trajectories. This development, unveiled in October 2023, seeks to enhance the understanding of how cognitive functions can inform and improve robotic movements and interactions with the environment. By integrating advanced modeling techniques with real-time data on object trajectories, the new system promises to refine robotic capabilities in various applications, from manufacturing to autonomous navigation. The initiative reflects a growing interest in the intersection of cognitive science and robotics, highlighting the potential for more intuitive and responsive robotic systems.
Robotics Automation AI
LLMs help robots understand vague instructions and focus on key details
Researchers at MIT have developed an innovative approach to enhance the efficiency of robots in performing chores in various environments, including homes and factories. This new method employs a dual-language model system: the first model is designed to interpret and clarify user instructions, while the second model focuses on filtering out irrelevant information that may hinder task execution. This advancement aims to improve the interaction between humans and robots, making it easier for machines to understand and carry out complex tasks effectively. The initiative reflects MIT's commitment to advancing robotics technology and its potential applications in everyday life.
School of Engineering MIT Schwarzman College of Computing Aeronautical and astronautical engineering Electrical engineering and computer science (EECS) Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology
The New Era of Robot Perception: How CoRMA Enables Machines to Truly "Understand Touch"
Researchers have unveiled a groundbreaking advancement in robotic technology with the introduction of CoRMA, a new system designed to enhance machines' ability to perceive touch. This innovative development, announced in October 2023, aims to bridge the gap between human-like sensory experiences and robotic capabilities. Located at a leading technology research facility, the CoRMA system utilizes advanced algorithms and sensory data to enable robots to interpret tactile information more effectively. The motivation behind this initiative stems from the growing demand for robots to perform tasks that require a nuanced understanding of touch, such as delicate assembly work or providing care in healthcare settings. By integrating sophisticated sensors and machine learning techniques, CoRMA allows robots to not only detect pressure but also differentiate between various textures and materials. This advancement is expected to significantly improve the functionality of robots in diverse applications, from manufacturing to personal assistance. The development of CoRMA represents a significant leap forward in the field of robot perception, potentially transforming how machines interact with their environment and enhancing their ability to perform complex tasks that require a human-like touch.
Robotics Automation AI
Chasing rumors: Car CEO's departure untrue; WeChat tests native AI assistant; Apple, Tesla supplier data leaked.
On June 23, the ChiNext Index experienced its largest decline of the year, falling over 4% during trading and closing down 3.84%, dipping below the critical 4200-point mark. This downturn followed a record high set just a day prior. The trading volume for the day reached approximately 901.65 billion yuan, a decrease of 118.9 billion yuan from the previous day. All ten of the index's top-weighted stocks saw declines, particularly those in the AI computing sector. In a separate development, Tata Electronics confirmed a significant data breach, with over 630GB of sensitive information leaked, including design and specification documents for key clients like Apple and Tesla. The company stated that it had initiated a response plan and that operations remained unaffected. Apple is reportedly conducting a thorough investigation into the incident. Meanwhile, SpaceX has entered a multi-billion dollar agreement with AI startup Reflection AI to provide computing resources, with payments set to begin in July and continue through 2029. In the robotics sector, Nvidia unveiled its "Halos for Robotics" safety system aimed at enhancing the security of physical AI applications, while Faraday Future introduced its industrial-grade robotic arm series at a robotics expo in Chicago. Additionally, Meta has paused an internal AI training program that tracked employee mouse movements due to data security concerns, and Oracle announced a workforce reduction of approximately 21,000 employees, marking a 13% decrease in its total workforce as part of a business restructuring.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
