Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Limitless Labs raises $20 million to expand AI platform for CNC programming and precision manufacturing
Limitless Labs, a company specializing in AI software for CNC programming and precision manufacturing, has successfully secured $20 million in a Series A funding round. This investment, co-led by Dell Technologies Capital and Square Peg, aims to enhance the company's physical AI platform and expedite its implementation within the manufacturing industry. Additional contributions came from Grove Ventures and Meron Capital, among others. The funding will enable Limitless Labs to further develop its innovative solutions, addressing the growing demand for advanced manufacturing technologies.
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Inbolt to launch vision-enabled robot programming at Automate event
Inbolt, a company specializing in robot intelligence and digital twin technology, is set to unveil two new capabilities aimed at enhancing its AI vision model for robot guidance. The new features, Inbolt Robot Programming and an expanded Inbolt Robot Control, will be showcased at Automate 2026, taking place in Chicago from June 22 to June 25. CEO and co-founder Rudy Cohen emphasized that these advancements are integral to the company's mission of advancing live robot control through innovative AI solutions.
Events Industrial robots Software adaptive manufacturing ai robotics Automate 2026
ENCY Software and Stäubli Robotics partner to simplify robot programming
ENCY Software and Stäubli Robotics have entered into a global partnership aimed at enhancing the ease and efficiency of robot programming. This collaboration seeks to make the programming process more intuitive and accessible for users, thereby accelerating the development and deployment of robotic solutions. The agreement was announced recently, highlighting both companies' commitment to innovation in the robotics industry. By leveraging their respective expertise, ENCY Software and Stäubli Robotics aim to streamline workflows and improve user experience in robotic applications, ultimately driving broader adoption of automation technologies across various sectors.
6-Axis Controllers Industrial Robots Logistics Machine Tool & Material Removal Manufacturing
Productive Robotics Equips Manufacturers With Zero Programming End-To-End Automation At IMTS
Productive Robotics, based in Santa Barbara, California, is set to showcase its innovative end-to-end automation solutions at the International Manufacturing Technology Show (IMTS) 2026, taking place on July 1. The company will exhibit at two booths, highlighting its 7-axis OB7 collaborative robots, which require no programming and offer a plug-and-play setup. This technology aims to address acute labor shortages, rising costs, and global competition faced by manufacturers. In Booth #339186, the focus will be on automating metal removal processes, while Booth #237138 will emphasize abrasive machining, sawing, and gear production. Zac Bogart, president of Productive Robotics, emphasized the importance of CNC machining for U.S. manufacturers, particularly in defense, aerospace, and automotive sectors, as well as for reshoring efforts to stabilize supply chains. The demonstrations will include automated vision inspection systems, MIG welding, and laser welding applications, showcasing the versatility of the company's robots. With their unique 7-axis design, these collaborative robots offer enhanced dexterity, allowing them to perform a wide range of tasks without the need for workspace redesign. The user-friendly interface enables operators with no robotics experience to quickly teach the robots tasks, significantly boosting productivity and safety in various manufacturing environments. For more information, visit Productive Robotics' website.
Inbolt Launches Vision-Enabled Robot Programming, Closing the Loop from CAD to Factory Floor
Inbolt showcased its cutting-edge Robot Programming technology at Automate 2026 in Chicago, marking its most significant presence in the U.S. to date. The event featured four live demonstrations and the launch of two new products, highlighting the company's innovative approach to streamlining robotic programming. By allowing engineers to create programs directly from CAD models, Inbolt's system significantly reduces the time required for commissioning, enabling real-time execution of planned paths through its Inbolt Vision Model. This advancement not only enhances efficiency but also positions Inbolt as a leader in the automation sector. Additionally, the company announced plans to double its U.S. team by the end of the year, further solidifying its commitment to growth and collaboration, as evidenced by joint demonstrations with industry partner FANUC.
Hangkai Microelectronics TG 9801 Tactile Intelligent Gripper: No Programming Required for Smart Grabbing, Natively Supports ROS2/485/CAN, Versatile for All Scenarios
Suzhou Hangkai Microelectronics has introduced the HKVR TG 9801 tactile adaptive gripper, a cutting-edge solution designed to simplify automation and robotics applications. This innovative gripper eliminates the need for complex programming, allowing for flexible grasping of diverse materials and sizes. The device features native support for ROS2 and various industrial communication protocols, facilitating seamless integration and quick deployment in industrial settings. This advancement aims to enhance operational efficiency and adaptability in automation processes, catering to the growing demand for versatile robotic solutions in various sectors.
Tactile Grippers Robotics Integration Industrial Automation ROS2 Smart Manufacturing
The Step-by-Step Guide to Programming a Handling Robot for Machine Tending
In a significant advancement for modern manufacturing, JAKA has introduced its JAKA Zu series, a line of handling robots designed to enhance machine tending processes in smart factories. This innovation allows for the automation of loading and unloading raw materials into CNC machines and injection molders, thereby increasing operational efficiency and safeguarding human workers from hazardous environments. The JAKA Zu12, capable of handling heavy metal parts with a payload of 12kg and a reach of 1327mm, streamlines the programming process through a user-friendly graphical interface accessible via a tablet or smartphone, eliminating the need for cumbersome teach pendants. This low-code approach simplifies the traditionally complex task of programming a 6-axis robot arm, enabling operators to set up a machine tending station in minutes. The setup involves defining the robot's workspace and safety zones, teaching waypoints for efficient path planning, integrating end-of-arm tooling for precise interaction with machines, and establishing logic loops for error handling. These features ensure that the robot can operate autonomously, significantly reducing the need for constant supervision. By offering a solution that combines industrial speed with consumer-friendly simplicity, JAKA aims to support manufacturers in automating their processes confidently, whether in small machine shops or large-scale production lines. This development marks a pivotal step towards more efficient and safer manufacturing environments.
How to Avoid Programming Errors When Using the JAKA Lumi Training Platform
The transition to no-code automation is transforming the landscape of collaborative robot (cobot) implementation, making it more accessible for manufacturers. JAKA, a leader in this field, has introduced the JAKA Lumi platform, designed to facilitate the rapid deployment of cobots while emphasizing the importance of understanding coordinate systems and command structures to avoid programming errors. Common pitfalls in programming JAKA cobots include mismanaging the order of operations for non-immediate commands and improper handling of coordinate systems. For instance, failing to place digital output commands correctly during movement can lead to synchronization issues, while neglecting to verify the active coordinate system can cause the robot to drift off course. Additionally, incorrect input values for motion commands can trigger errors in the robot's motion planner. To enhance programming efficiency, JAKA advocates for a structured approach through its "Smart, Simple, Small" philosophy. Best practices include establishing a homing sequence to ensure safety before high-speed movements, utilizing subprograms for complex commands, and validating tasks through simulation to prevent collisions. The JAKA Lumi series also incorporates advanced safety features, such as "Floating Jogging" mode and "One-Key Align," to minimize manual teaching errors. With a user-friendly wireless teaching app, operators can visually manage automation logic, ensuring a seamless integration of education and industrial application. By adhering to these guidelines, manufacturers can optimize their production processes while ensuring safety and reliability in their cobot operations.
The Role of Offline Programming in Improving Efficiency of a Collaborative Welding Robot
In the evolving landscape of modern manufacturing, JAKA has identified that the efficiency of industrial welding robots is increasingly reliant on intelligent programming rather than just hardware capabilities. This shift comes in response to challenges such as short delivery cycles, high product variation, and the demand for precision. Offline programming has emerged as a vital solution, allowing manufacturers to develop welding paths and parameters in a virtual environment, thereby reducing downtime and optimizing production processes. By utilizing offline programming, JAKA has found that manufacturers can significantly minimize line stoppages associated with manual adjustments. This method enables the simulation and verification of complex weld seams and trajectories before actual deployment, enhancing consistency and reducing programming errors. In collaborative settings, it also ensures safer commissioning by validating motion paths that limit unexpected movements. The JAKA Zu30, designed for heavy-load and space-constrained welding applications, exemplifies the benefits of offline programming. With a payload capacity of 30 kg and a reach of 1350 mm, this robot can adjust welding parameters digitally, allowing for efficient handling of various workpieces without the need for repeated on-site teaching. Its IP65 protection ensures stability in demanding environments. JAKA emphasizes that offline programming is not merely theoretical but a practical tool that enhances the usability of collaborative welding robots in real production settings. By improving programming accuracy and supporting flexible manufacturing, this approach is poised to significantly enhance the overall value of industrial welding robots, paving the way for more efficient and resilient manufacturing processes.
Cost Breakdown of Collaborative Robot Ownership: From CAPEX to Reprogramming Cost
JAKA, a leader in robotics, emphasizes the importance of a comprehensive financial analysis when considering the purchase of collaborative robots (cobots). The company highlights that the total investment extends beyond the initial purchase price, requiring careful evaluation of all associated costs, including capital expenditure, operational expenses, and the often-overlooked costs of reprogramming and adaptation. The initial capital outlay for JAKA's Zu series cobot includes the robotic arm, its controller, essential peripherals like end-effectors, safety hardware, and mounting fixtures. The compact design of JAKA's flexible robot arms reduces the need for extensive foundational support, thereby lowering ancillary costs. Once installed, ongoing operational costs remain low due to the energy-efficient design and minimal maintenance requirements. JAKA's systems are built for reliability, which helps prevent unplanned downtime and reduces operational manpower costs. A key advantage of JAKA's cobots is their adaptability, which, while incurring some costs during reprogramming, is mitigated by the intuitive design that allows for quick adjustments. The user-friendly graphical programming and drag-and-drop teaching methods significantly decrease the time and expertise needed for reprogramming, thus reducing labor costs and minimizing production downtime. In summary, JAKA's flexible robot arms are designed to deliver long-term economic efficiency by focusing on reliability and ease of operation, ultimately providing a lower total cost of ownership throughout their lifecycle.
Mastering the Programming of a Jointed Arm Robot for Non-Linear Tasks
JAKA, a leader in robotic technology, has developed advanced programming solutions for 6-axis robot arms, enabling them to navigate complex, non-linear trajectories with precision. Traditionally, programming such intricate paths has been a challenge, often requiring tedious point-by-point teaching that can lead to jerky movements. To address this, JAKA has integrated intuitive software interfaces that allow operators to program the robotic arms using graphical tools and drag-and-drop methods, significantly simplifying the process. The innovative design of the 6-axis robot arm provides the necessary dexterity to maneuver around obstacles and follow curves smoothly. JAKA’s precision control technology ensures that the arm can accurately interpolate motion between points, resulting in fluid movements essential for tasks like welding and sealing. Additionally, features such as waypoint recording and path smoothing algorithms help translate human-guided motions into repeatable programs. Safety and reliability are paramount in dynamic operations. JAKA's robotic arms are equipped with advanced sensors that enable real-time path corrections based on force feedback and vision input, ensuring consistent performance even in unpredictable environments. With multiple safety mechanisms in place, the robotic arms can operate safely alongside human workers. By combining cutting-edge mechanical design, intelligent software, and robust safety features, JAKA aims to make the programming of complex robotic tasks accessible and efficient, empowering programmers to fully exploit the capabilities of their 6-axis robot arms in various production settings.
Troubleshooting: How to Solve Common Cobot Operation and Programming Issues
JAKA, a leader in collaborative robotics, has released a guide aimed at helping teams efficiently troubleshoot common issues encountered when integrating collaborative robots (cobots) into their workflows. These challenges can arise during both operation and programming, potentially slowing down production. The guide emphasizes the importance of addressing unexpected operational stops, which can disrupt production lines. Users are advised to consult the controller’s interface for error codes, as many halts are safety-related. JAKA cobots are designed with multiple safety mechanisms, and ensuring a clear workspace and proper alignment of safety sensors can often resolve these issues. If problems persist, checking the stability of the power supply is recommended. For programming difficulties, JAKA suggests utilizing their graphical programming interfaces, which simplify the creation of complex paths. Users can employ a drag-and-drop teaching feature to guide the robot through desired motions, helping to avoid coding errors. Integration and communication errors, such as a cobot failing to connect with other machines, are also addressed. The guide recommends verifying physical connections and communication protocol parameters to ensure compatibility. JAKA’s robotic arms are equipped with robust communication interfaces, and re-initializing the communication sequence may restore stable connections. Overall, JAKA’s approach focuses on providing intuitive tools and built-in diagnostics to minimize downtime and enhance productivity, ensuring that collaborative robots remain efficient and manageable in various operational settings.
Robotic Welding Arm Trends: Focus on Precision, Compactness, and Ease of Programming
Recent advancements in automated welding technology are addressing key industrial demands for consistent joint quality, space efficiency, and user-friendly operation. JAKA, a leader in robotic solutions, is focusing on the development of a modern robotic welding arm that integrates enhanced precision, compact design, and simplified programming. To ensure reliable weld quality, JAKA emphasizes synchronized control, where the robot's motion is precisely aligned with welding parameters like voltage and current. This integration allows for consistent arc characteristics along the weld seam, which is crucial for structural integrity and compliance with industry standards. The company employs real-time communication protocols and adaptive control algorithms to maintain uniform weld bead geometry. Recognizing space constraints in manufacturing environments, JAKA is also optimizing the kinematics of its robotic arms. The design features slimmer links and a minimized base, enabling the robots to operate effectively in tight spaces without requiring significant changes to existing production layouts. Furthermore, JAKA aims to make robotic welding more accessible by simplifying programming interfaces. The introduction of intuitive features, such as hand-guided teaching and graphical software with pre-configured settings, allows welding technicians to leverage their expertise without extensive coding knowledge. This approach not only reduces deployment time but also empowers skilled welders to efficiently manage automated processes. Overall, JAKA's commitment to combining accuracy, spatial efficiency, and operational accessibility positions its robotic welding arm as a practical solution for the evolving needs of the metal fabrication and manufacturing sectors.
Interview with Olo Robotics COO Eleanor Tang-Smith: Making robot programming accessible to everyone
Recent advancements in robotics hardware have led to the emergence of highly capable autonomous mobile robots, quadrupeds, robotic arms, and humanoid robots, which are now more commercially available than ever. However, many organizations face significant challenges in adopting these technologies due to the complexities associated with software development. Creating robotic applications often necessitates specialized knowledge in platforms like ROS 2 (Robot Operating System 2). This gap in expertise hinders the widespread implementation of robotic solutions in various sectors, despite the promising capabilities of the hardware. As the industry continues to evolve, addressing the software barriers will be crucial for facilitating broader adoption and maximizing the potential of robotic innovations.
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Robotmaster Software Update Speeds Up Programming
A new initiative has been launched to enhance the deployment of robotic plasma cells, aimed at improving efficiency in various applications. This development comes as part of ongoing efforts to advance automation technology and streamline processes across industries. The project, which began in October 2023, is being implemented at multiple research facilities and manufacturing plants worldwide. The motivation behind this initiative is to leverage the capabilities of robotic systems to optimize production and reduce operational costs. By integrating advanced plasma technology with robotics, the initiative seeks to address challenges faced in traditional manufacturing and service sectors, enhancing precision and speed. The deployment process involves a series of pilot programs designed to test the effectiveness of robotic plasma cells in real-world scenarios. These trials will assess their performance in tasks such as material processing, surface treatment, and other applications where plasma technology can provide significant benefits. As this project unfolds, stakeholders anticipate that the successful integration of robotic plasma cells will not only revolutionize current practices but also pave the way for future innovations in automation and manufacturing.
Tesla Optimus Task Programming Guide (2026)
In a significant development for the future of technology and education, a comprehensive technical breakdown focusing on video learning, Grok instructions, simulation, Sim2Real, and operator workflow is set to be released in 2026. This initiative aims to enhance the learning experience by integrating advanced simulation techniques and real-world applications into educational frameworks. The project, which has been in the works for several years, is designed to leverage data and insights gathered up until October 2023, ensuring that the methodologies are grounded in the latest technological advancements. By utilizing these innovative approaches, the initiative seeks to bridge the gap between theoretical knowledge and practical application, ultimately preparing learners for the demands of the modern workforce. The release of this technical breakdown is anticipated to take place in various educational institutions and training centers, providing educators and learners with valuable resources and tools. The motivation behind this initiative is to improve educational outcomes and equip students with the skills necessary to thrive in an increasingly complex and technology-driven world. As the project unfolds, stakeholders will be closely monitoring its implementation and effectiveness, with the goal of refining and enhancing educational practices through the integration of cutting-edge technology and methodologies.
Mimic Grasping: A Modular and Flexible Programming‐by‐Demonstration Robotic Grasping Solution
The Journal of Field Robotics has recently published an early view article highlighting advancements in robotic technology. This publication, released in October 2023, showcases innovative research aimed at enhancing the capabilities of field robots in various applications. The article emphasizes the importance of improving robotic systems to meet the growing demands of industries such as agriculture, construction, and disaster response. Researchers from leading institutions contributed to this study, focusing on the integration of artificial intelligence and machine learning to enable robots to perform complex tasks autonomously. The findings suggest that these technological improvements could significantly increase efficiency and safety in environments that are challenging for human workers. The motivation behind this research stems from the need for more effective solutions in sectors where human intervention is limited or hazardous. By advancing robotic technology, the authors aim to address labor shortages and improve operational outcomes in critical situations. This publication is expected to influence future developments in robotics, paving the way for more sophisticated and reliable machines that can operate in diverse and demanding environments. The ongoing research in this field underscores the potential for robotics to transform industries and enhance productivity in the years to come.
RESEARCH ARTICLE
LA High School Students Engage with Real Robotics at Faraday Future Headquarters This Summer
A group of K-12 students in Los Angeles has been hands-on with real humanoid robots and industrial-grade robotic dogs at Faraday Future's headquarters this summer. On July 15, Faraday Future announced that its EAI Robotics Summer Camp, in collaboration with the Lynwood and El Segundo school districts, has entered its second week, alongside a partnership with Triple I, a full-cycle education organization in the U.S. The summer camp is notable for using actual robotics equipment rather than toy kits or computer simulators. Students have worked with Faraday Future's own robots, including the Navi, an educational four-legged robot priced under $2,000, the industrial-grade Aegis, and the humanoid robot Master. The camp employs a five-day progressive learning structure, culminating in students programming and debugging real hardware. Participants have transformed from beginners to capable of autonomous system demonstrations within just one week. Faraday Future's Co-CEO Chen Zhe emphasized the importance of immersive engineering experiences for students and how their feedback aids product iteration and course design. He believes education will be a key application area for scaling consumer robotics in its early stages, as Faraday Future aims to bridge classroom learning with practical experience and home education.
Robotics Education Hands-on Learning Consumer Robotics Programming STEM
RoboDK Launches CAM Software to Reduce Robotic Machining Deployment Time by 40%
RoboDK has introduced its new CAM software, enabling robotic machining programs to be generated directly from CAD files. This innovation, showcased at the Automate Show, promises to reduce deployment time by up to 40%, allowing users to create toolpaths and collision-free motions without manual coding. The software aims to simplify the robotic machining process for manufacturers and integrators, even those lacking programming expertise. The significance of RoboDK CAM lies in its potential to overcome the traditional complexities associated with robot programming, which have hindered the adoption of robotic machining. By automating the generation of machining programs from CAD designs, RoboDK CAM facilitates rapid integration into production environments, thereby reducing costs and enhancing efficiency. CEO Albert Nubiola emphasized that this approach transforms CAD into the starting point for automation, making deployments faster and more consistent. Looking ahead, RoboDK's recent software update, Version 6.0, enhances performance and simulation capabilities, including support for over 1,400 robot models. The next milestone for RoboDK will be to further expand its software's capabilities and user accessibility. No further timeline was disclosed at the time of publication.
News Robot simulation Software Automate 2026 CAD-to-robot CAM software
Visual Components launches new version of its factory simulation software
Visual Components, a leader in 3D manufacturing simulation and robot offline programming, has unveiled its latest software, Visual Components 5.1. This significant update aims to assist manufacturers in navigating the increasing complexity of autonomous production environments. Released recently, the new version features enhanced physics simulation for greater accuracy and scalable robot orchestration capabilities. These advancements are designed to streamline operations and improve efficiency in manufacturing processes, responding to the industry's evolving demands for automation and precision.
Computing News Robot simulation Software AGV simulation AMR simulation
Exploring ELIZA: The First Chatbot's Advanced Capabilities and Historical Impact
ELIZA, recognized as the first AI chatbot, was created by Joseph Weizenbaum in the mid-1960s. This program, which simulated a psychotherapist, surprised users with its engaging interactions, leading to discussions about automated therapy and the concept of machine sentience, known as the 'ELIZA effect.' Recently, the original source code was discovered, revealing ELIZA's ability to adopt multiple personas beyond its well-known therapist role. The significance of ELIZA extends beyond its historical context; it transformed perceptions of human-computer interaction and laid the groundwork for modern conversational AI. The newly analyzed source code demonstrates that ELIZA was a sophisticated platform capable of complex interactions, challenging previous assumptions about its capabilities. This discovery highlights the gap between theoretical models and practical implementations in AI development, emphasizing the importance of understanding early innovations in the field. Looking ahead, the insights gained from ELIZA's architecture and programming techniques can inform current AI advancements. As researchers continue to explore the implications of Weizenbaum's work, the historical context of ELIZA will remain relevant in discussions about language, therapy, and human-computer interaction. No further timeline was disclosed at the time of publication.
Chatbots Ai History Eliza Joseph-weizenbaum
Automakers Seek Reliable Robots for Long-Term Performance Over Flashy Demonstrations
At the 2026 Embodied Intelligence Industry Integration Conference, industry leaders emphasized the need for robots that can operate reliably for extended periods without errors. Executives from companies like Beijing Galaxy General Robotics and Changan Automobile highlighted that automakers prioritize robots capable of consistent performance over flashy capabilities. The discussion revealed that many applications in automotive manufacturing, such as material handling and quality inspection, still lack effective solutions. High labor intensity and safety concerns drive the demand for robots that can maintain precision and efficiency over long operational hours, as noted by industry experts. Looking ahead, the focus will shift towards developing adaptable robots that can quickly integrate into various factory layouts without extensive reprogramming. The concept of 'Design for Robot' was introduced, aiming to reshape factory processes around robotic capabilities. No further timeline was disclosed at the time of publication.
Industrial Robotics Manufacturing Automation Automotive Technology Robotic Process Automation
Actuate 26 Robotics Developer Conference Reveals Speaker Lineup with Industry Leaders
Foxglove has announced the speaker lineup for Actuate 26, its annual robotics developer conference, featuring leaders from Wayve, Aurora, Physical Intelligence, and more. The event will take place on August 18-19, 2026, at Fort Mason in San Francisco, showcasing technical talks, keynotes, and hands-on programming. This conference is significant as it aims to gather over 1,000 attendees from various sectors deploying robots, including autonomous vehicles, drones, and industrial automation. The participation of industry leaders highlights the growing interest and advancements in robotics and AI technologies. As the event approaches, attendees should look forward to insights from top experts in the field and opportunities for networking and collaboration. No further timeline was disclosed at the time of publication.
Understanding Technological Singularity and Its Impact on Robotics and AI
For decades, technological singularity was more a concept of science fiction than engineering reality. Today, it is a topic of discussion among AI laboratories, industrial giants, investment funds, and robotics companies worldwide. The rapid advancement of generative AI, autonomous robots, foundation models, and AI agents raises a fundamental question: what will happen when machines can enhance their own intelligence faster than humans? The origins of the technological singularity date back to 1965 when British mathematician I.J. Good proposed that an 'ultra-intelligent machine' could trigger an intelligence explosion. In the 1990s, mathematician Vernor Vinge expanded on this idea, suggesting that once a certain level of AI is reached, technological evolution would become unpredictable for humans. Ray Kurzweil later popularized the concept, predicting that artificial general intelligence (AGI) could emerge in the coming decades, leading to continuous self-improvement of systems. Currently, the landscape is shifting rapidly, with large language models, vision-language-action models, and autonomous agents enabling robots to understand natural language instructions, interpret their environment, and learn new tasks without specific programming. Companies like NVIDIA, Google DeepMind, and Tesla are investing billions in developing this new generation of intelligent robots.
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DOBOT Unveils Intelligent Automation Solutions at Automate 2026 to Enhance American Manufacturing
DOBOT showcased its latest intelligent automation solutions at Automate 2026, emphasizing the theme 'DO MORE WITH DOBOT.' The company highlighted how its collaborative robots and AI-powered technologies can enhance efficiency and flexibility in American manufacturing. Key demonstrations included solutions for various industries such as automotive and food & beverage, showcasing the integration of robotics in real-world applications. The significance of DOBOT's presentation lies in its commitment to strengthening American manufacturing through advanced automation. By demonstrating a comprehensive portfolio of application-driven solutions, DOBOT illustrated the potential of intelligent robotics to address industrial challenges and accelerate the transition to smart manufacturing. The showcased technologies aim to improve production processes across sectors, enhancing overall operational efficiency. Looking ahead, DOBOT's focus on integrated automation ecosystems and collaborative robotics indicates a trend towards more accessible and scalable solutions for manufacturers. The company's innovations, including humanoid robots and advanced programming capabilities, suggest a future where human-robot collaboration becomes increasingly seamless. No further timeline was disclosed at the time of publication.
DOBOT Automate 2026 collaborative robots industrial automation automation solutions humanoid robot
At Goodwood, Robots Explore Their Role in Enhancing Human Experience
At the Goodwood Cricket Ground, a fox-eared robot on roller skates greeted visitors without imitating humans or threatening to replace them, showcasing its unique identity. This event, part of the FOS Future Lab's Intelligent Systems Zone, featured three exhibitors presenting diverse answers to the question of what intelligent machines should do for humanity. One Sheffield startup, led by Raspberry Pi co-founder Liz Upton, demonstrated a method for programming robots using simple English. A robotic arm responded to natural language commands, with COO Eleanor Tang-Smith emphasizing the goal of making robots perform tasks that humans find tedious. Meanwhile, a large screen displayed a real-time reconstruction of Goodwood's famous Taylor Garage, merging digital and physical worlds seamlessly. The fox-eared robotic dogs, designed in Paris, avoided the 'uncanny valley' by engaging with humans through expressive features. They are already in use in hospitals and airports for tasks like transporting and assisting, allowing humans to focus on more urgent matters. The event highlighted three approaches to human-robot interaction, emphasizing the importance of language, vision, and gestures in redefining the interface between humans and machines.
Robotics AI Spatial Computing Human-Robot Interaction
KISS Institute Launches BotBall to Enhance STEM Education with Student-Led Robotics
The KISS Institute for Practical Robotics (KIPR) has introduced BotBall, a robotics program designed to foster creativity and critical thinking among students. This initiative emphasizes student-led engineering, allowing participants from elementary to high school to engage in hands-on learning using a standardized kit. The program ensures a level playing field by providing all teams with the same materials, promoting accountability and project management skills without adult intervention during competitions. BotBall challenges traditional educational models by integrating real programming languages like C and Python into its curriculum, demonstrating that students can handle complex coding at an early age. The Junior Botball Challenge (JBC) further innovates by allowing up to five students to collaborate on a single robot, shifting the focus from competition to inquiry-driven problem solving. This approach encourages teamwork and a deeper understanding of both mechanics and software among participants. As the school year approaches, KIPR is expected to release more details about the upcoming competition schedule. The BotBall program represents a significant shift in STEM education, moving away from conventional roles and fostering a new generation of students who are well-versed in both engineering and programming disciplines. No further timeline was disclosed at the time of publication.
Autonomous Mobile Robots (AMRs) Educational News competition education workforce
RoboDK Enhances Manufacturing with Digital Twin and OLP Software Features
RoboDK has introduced advanced features in its digital twin and offline programming (OLP) software, enabling manufacturers to simulate robotic cells virtually. This software allows users to model robots, tooling, and surrounding equipment, facilitating pre-installation testing of automation systems. Key functionalities include accurate robot simulation, calibration, and the ability to generate executable robot code seamlessly, thus reducing deployment time and costs. The significance of these features lies in their ability to streamline the programming and commissioning processes, which are often time-consuming in traditional setups. By utilizing digital twins, manufacturers can assess critical factors such as reachability, collision risks, and cycle times before physical implementation. This proactive approach minimizes uncertainties and enhances operational efficiency, making it a vital tool for modern manufacturing environments. Looking ahead, manufacturers should monitor the integration of CAD/CAM workflows with digital twin software, as this will further enhance the flexibility and usability of robotic programming. The ability to compare various robot models and specifications without vendor lock-in is crucial for optimizing production lines. No further timeline was disclosed at the time of publication.
UMA Unveils Its Vision for the Next Generation of Humanoid Robots
At Machina Summit, UMA unveils the design of its first humanoid robot and introduces Real-Time Learning, a new AI architecture that enables robots to learn new skills through demonstration rather than programming.
Lessons Learned Building Operator Interfaces in FactoryTalk Optix
A recent study highlights the significant impact of thoughtful user interface (UI) object selection on enhancing usability in application development. Conducted by a team of software engineers and UX designers, the research emphasizes that strategic choices in UI design can lead to reduced programming time and improved user experiences. The findings, released in October 2023, suggest that by prioritizing intuitive object selection, developers can streamline the application development process, ultimately resulting in more efficient programming and better end-user satisfaction. This approach not only simplifies the coding aspect but also aligns with the growing demand for user-friendly applications in an increasingly digital landscape. The study advocates for a shift in focus towards UI design principles that prioritize usability, which could revolutionize how applications are developed and interacted with across various platforms.
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HKU professor's startup Yisheng Technology secures hundreds of millions in angel funding to develop memory systems for robots.
TranscEngram, a robotics startup focused on developing autonomous intelligence, has successfully secured hundreds of millions in angel funding. The investment round saw participation from a diverse group of industry and state-owned enterprises, including Charoen Pokphand Group’s China National Pharmaceutical, Pudong Venture Capital, and several others. Founded in September 2023 by leading AI experts, including Professor Ma Yi from the University of Hong Kong, TranscEngram aims to create a unified system for robots that mimics human cognitive processes through a "brain + cerebellum" architecture. This innovative approach seeks to advance the field of explainable embodied intelligence by enabling robots to learn through a closed-loop of perception, prediction, and interaction. The newly acquired funds will primarily support the development of advanced models for embodied control and physical world modeling, as well as the establishment of research and industrial bases in Shenzhen and Shanghai. The company’s technology promises to enhance robots' capabilities in self-correction and continuous evolution, moving towards commercial applications. TranscEngram's unique memory system allows robots to learn from vast amounts of data without relying on fixed programming, significantly improving their performance in multi-tasking scenarios. The startup is currently focusing on high-end service sectors, such as hotel operations and flexible manufacturing in aerospace, aiming to automate and optimize these industries. With research and data centers established in major cities, TranscEngram is collaborating with leading robotics firms to integrate its innovative solutions into existing production processes, enhancing efficiency and adaptability in real-world applications.
Anthropic's Claude model officially launched on Microsoft Foundry.
On June 29, Anthropic announced the official availability of its Claude model on Microsoft Foundry, specifically within the Azure AI Foundry platform. This development allows enterprise users to deploy and utilize the Claude model directly in the Azure environment, leveraging existing Azure authentication, billing, and governance systems. Currently, the platform supports Claude Opus 4.8 and Claude Haiku 4.5, which include features such as prompt caching and extended thinking capabilities. These functionalities are designed for applications in programming, intelligent agents, and complex reasoning scenarios. Anthropic also noted that users can choose to run their inference either on Azure or in an Anthropic-hosted environment. Looking ahead, both companies plan to gradually align their features and models for enhanced compatibility.
Hirebotics offers no-code, explosion-proof cobot for painting
Hirebotics has introduced a new no-code, explosion-proof collaborative robot (cobot) designed specifically for stationary painting applications. This innovative technology allows parts to be placed in a designated paint booth, where the cobot autonomously handles all spraying operations. The development aims to enhance safety and efficiency in industrial painting processes, providing manufacturers with a reliable solution that minimizes the risk of explosions while simplifying the operation through its no-code interface. This advancement reflects Hirebotics' commitment to improving automation in the manufacturing sector, making it easier for companies to adopt robotic solutions without extensive programming knowledge.
Arms / Manipulators Artificial Intelligence / Cognition Automotive Cobot Arms Collaborative Robots Design / Development
Smarter Automation with Industrial PCs and HMIs
In a recent episode of the Automation World podcast, host Chris McNamara engaged with Chris Barber, product marketing manager at Phoenix Contact, to explore the evolving landscape of industrial automation. The discussion, which aired on June 24, 2026, delved into the transition towards web-based Human-Machine Interfaces (HMIs), industrial PCs, edge computing, and software-defined control systems. Barber highlighted Phoenix Contact’s innovative PLCnext approach, which integrates traditional operational technology (OT) programming with IT-friendly tools, aiming to simplify integration, enhance real-time processing, and bridge the gap between IT and OT. Barber provided a practical example from the water-wastewater sector, illustrating how edge PCs can significantly improve local alarm handling and data reliability. The conversation also touched on Phoenix Contact’s strengths in hardware and customer support, as well as emerging trends such as cloud-edge convergence and the development of smarter, connected systems that facilitate easier deployment. This insightful dialogue underscores the ongoing advancements in automation technology and its implications for various industries.
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Imitation learning is reshaping the training of physical AI for industrial environments
Imitation learning is revolutionizing the training of industrial robots by moving away from traditional rigid programming methods to a more adaptive approach that emphasizes learning through real-world interactions. This shift is highlighted by Anders Billesø Beck, who underscores the importance of high-quality data, the application of force, and the use of production-grade hardware in this new training paradigm. As industries increasingly adopt these advanced techniques, the focus on enhancing the capabilities and efficiency of robots is becoming paramount, paving the way for more sophisticated automation solutions. The transition is not only expected to improve the performance of robots but also to streamline production processes across various sectors.
How Intrinsic eliminates manual robot coding
Alphabet's Intrinsic has launched its AI-driven "Intelligence Cell," a new technology designed to streamline factory automation by removing the need for complex robot programming. This innovative solution aims to simplify the integration of robotics in manufacturing processes, making it more accessible for companies looking to enhance efficiency and productivity. By leveraging advanced artificial intelligence, Intrinsic's Intelligence Cell allows for easier deployment and management of robotic systems, ultimately transforming how factories operate. The introduction of this technology marks a significant step forward in the evolution of industrial automation, reflecting the growing demand for user-friendly solutions in the manufacturing sector.
Academia / Research Artificial Intelligence Artificial Intelligence / Cognition Assembly News Automate
Three-armed kitchen robot cuts raw salmon with 95% touch-sensing accuracy
In a notable development within the robotics industry, researchers and engineers are grappling with the complexities of programming industrial robots to prepare sashimi, a task that has proven to be unexpectedly challenging. Despite advancements in automation and robotics, the intricate nature of slicing raw fish with precision and artistry has eluded machines, highlighting the limitations of current technology in replicating skilled human techniques. This ongoing effort reflects a broader trend in the food industry, where automation is increasingly sought after to enhance efficiency and consistency. As of October 2023, experts are exploring innovative approaches to overcome these hurdles, aiming to integrate advanced sensory feedback and machine learning algorithms that could enable robots to mimic the nuanced movements of experienced chefs. The pursuit of automating sashimi preparation not only underscores the demand for robotics in culinary applications but also raises questions about the future of traditional food preparation methods in an era of rapid technological advancement.
AI and Robotics
IEEE Rolls Out Large Language Models Virtual Training Course
Large language models (LLMs) have transitioned from research labs to everyday use in engineering, significantly altering how digital infrastructures are developed and maintained. As technical professionals increasingly rely on LLMs for complex tasks—such as identifying vulnerabilities in source code and converting fragmented discussions into detailed specifications—the demand for expertise in this technology is surging. According to MarketsandMarkets, the LLM technology market is projected to grow by approximately 33% annually through 2030. To effectively utilize LLMs, engineers must move beyond basic interactions and understand the underlying transformer architecture that enables these models to process vast datasets simultaneously. This knowledge is crucial to mitigate risks associated with inaccuracies, often referred to as "hallucinations," and to ensure reliable performance in coding and data handling. Key advancements include integrating LLMs with application programming interfaces (APIs) for direct database connections, addressing hallucination issues through retrieval-augmented generation (RAG), and prioritizing data security by establishing private model instances. Additionally, LLMs automate repetitive tasks, allowing engineers to focus on higher-level design and problem-solving. To bridge the growing knowledge gap, IEEE has launched an online program titled "Large Language Models Demystified," designed to equip technical professionals with a deeper understanding of LLMs. The curriculum covers the evolution of AI technology, transformer architectures, and practical model-building exercises. Participants will earn professional development credits and a digital badge upon completion, enhancing their credentials in this rapidly evolving field. Organizations interested in training their teams can consult with IEEE for tailored enrollment options.
Ai Type-ti Education Ieee-educational-activities Large-language-models Ieee-products-and-services
The Steam Controller and an Industrial Robot: An Unexpected Intersection
ENCY Software has highlighted the significance of tactile, analog input in programming industrial robots and collaborative robots (cobots) through its innovative product, ENCY Hyper. This development underscores the relevance of standard wireless controllers, which may initially appear disconnected from the manufacturing environment. By integrating these controllers into robotic programming, ENCY Software aims to enhance the precision and efficiency of robotic operations. The initiative reflects a growing recognition of the importance of user-friendly interfaces in industrial automation, emphasizing how traditional input methods can still play a crucial role in modern technology.
Award-Winning Researcher Trains Robots to Make Educated Guesses
Yen-Ling Kuo, an assistant professor of computer science at the University of Virginia, has been recognized for her significant contributions to robotics and automation. Last year, she received the IEEE Robotics and Automation Society’s inaugural Outstanding Women in Robotics and Automation Early Career Contribution Award for her paper, “Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation.” This innovative research introduces a method that enhances robots' ability to identify and manage uncertainty during unfamiliar tasks, thereby reducing the need for human supervision and increasing task completion rates. Kuo’s journey began in Taiwan, where her fascination with science and technology was sparked by early exposure to programming and computer logic. After earning her degrees from National Taiwan University and MIT, she gained practical experience at Google, where she contributed to AI-driven shopping technologies. This experience motivated her to pursue a Ph.D. to deepen her understanding of neural networks. Her current research focuses on developing computational models that enable robots to interpret both explicit data and subtle social cues, aiming to replicate human-like reasoning in machines. Kuo's work has garnered attention from the National Science Foundation, which awarded her a five-year Career Award to support her research on human-robot interactions. As robotics and autonomous vehicles become more prevalent, Kuo envisions creating robots that can seamlessly integrate into social environments, enhancing human-robot collaboration.
Ieee-member-news Robots Artificial-intelligence Ieee-robotics-and-automation-soc Careers Type-ti
Defining Autonomy for Wellness Robots in Senior Care
A recent examination highlights the potential of socially assistive wellness robots in enhancing senior wellness across seven key dimensions. This analysis, aimed at addressing the escalating senior care crisis, underscores the challenges posed by demographic shifts, workforce shortages, and gaps in daily wellness programming that traditional care models face. The study defines wellness robots distinctly from companion and medical devices, emphasizing their unique features and functions. It introduces a framework for measuring the autonomy of these robots using the Care Robot Autonomy Scale (CRAS), a six-level scale inspired by the SAE J3016 driving standard, which assesses four critical care dimensions. Furthermore, the research outlines a roadmap for achieving full autonomy in wellness robots, detailing necessary technical capabilities, clinical evidence, and a phased approach leading into the early 2030s. This comprehensive analysis aims to inform stakeholders about the transformative role of wellness robots in senior care and the urgent need for innovative solutions in the face of growing demands. A free whitepaper summarizing these findings is available for download.
Type-whitepaper Wellness-robots Autonomous-robots Robotics
Festo launches GripperAI software to simplify flexible robot handling
Festo has launched GripperAI, an innovative AI-driven software designed to enhance robotic handling capabilities. This solution allows robots to manage a variety of mixed, unfamiliar, and randomly positioned products without requiring extensive programming or specialized vision systems. The introduction of GripperAI aims to provide manufacturers with increased flexibility in their automated handling processes. By automatically determining the best gripping point for each item, the software streamlines operations and improves efficiency in manufacturing environments. This advancement reflects Festo's commitment to integrating cutting-edge technology into automation solutions, catering to the evolving needs of the industry.
Components Industrial robots News AI software automation news cobots
Scientists show predictable training can outperform complex robot learning data
Researchers are making significant strides in developing robots capable of manipulating objects with human-like dexterity, a challenge that has long posed difficulties in the field of robotics. This advancement is crucial as it could enhance the ability of robots to perform complex tasks in various settings, including homes, hospitals, and manufacturing plants. The ongoing work, which has gained momentum in recent months, is taking place in laboratories across the globe, where teams are experimenting with advanced algorithms and machine learning techniques. The motivation behind this research stems from the increasing demand for robots that can assist in everyday tasks, improve efficiency in industrial processes, and provide support in healthcare environments. By mimicking the intricate movements of the human hand, researchers aim to create robots that can handle delicate objects and perform tasks that require precision and adaptability. To achieve this, scientists are employing a combination of innovative hardware designs and sophisticated software programming. They are utilizing sensors and artificial intelligence to enable robots to learn from their interactions with various objects, refining their skills over time. This iterative learning process is essential for developing robots that can operate effectively in unpredictable environments. As the field progresses, the implications of these advancements could revolutionize how robots are integrated into daily life, making them more versatile and capable of performing a wider range of functions. The ongoing research highlights the potential for robots to not only assist but also enhance human capabilities in numerous domains.
7 Ways New Engineers Can Flourish in the Age of AI
As new graduates enter the workforce, they are navigating a landscape where artificial intelligence (AI) is essential rather than optional. Successful engineers are learning to leverage AI as a tool rather than viewing it as competition. To remain competitive in this rapidly evolving field, experts recommend several strategies for young professionals. First, mastering fundamental skills in data structures, algorithms, and core programming languages like C++, Java, and Python is crucial. Understanding these basics enables engineers to effectively debug and optimize their work, even when using AI tools. Additionally, engineers should learn to collaborate with AI by crafting clear prompts, reviewing AI-generated code, and using AI to enhance productivity while exercising critical judgment. Building projects that demonstrate comprehensive system design is increasingly important, as employers seek candidates who can define requirements and deliver scalable, maintainable products. Early development of system design skills is also vital, as even junior engineers are expected to discuss responsible AI integration and system reliability. Strong communication skills are essential, as engineers must articulate design choices and collaborate within teams—an area where AI cannot replace human input. Continuous learning and curiosity about industry developments, new tools, and community engagement are also emphasized as key to staying relevant. Finally, engineers are encouraged to think beyond coding, focusing on problem-framing, architectural judgment, and ethical considerations in AI use. For ongoing career insights, professionals can subscribe to the IEEE Spectrum Career Alert Newsletter, which offers biweekly updates on jobs, education, and the engineering workplace.
Ieee-member-news Career-advice Ai Young-professionals Type-ti
Microsoft and Google are late to AI coding, but 'absolutely critical' they compete for growth
Google and Microsoft are intensifying their focus on coding tools as they seek to compete with leading AI companies Anthropic and OpenAI. This strategic shift comes in response to the growing demand for advanced programming assistance and the rapid advancements made by their rivals in the artificial intelligence sector. As of October 2023, both tech giants are investing heavily in developing and enhancing their coding capabilities to attract developers and businesses looking for innovative solutions. By leveraging their extensive resources and expertise, Google and Microsoft aim to establish a stronger foothold in the AI-driven coding landscape, ultimately striving to offer more efficient and effective tools that can streamline the software development process.
How Robotic Arms Improve Worker Ergonomics and Reduce Injury Risk
In the realm of modern manufacturing, JAKA, a leading provider of intelligent robotic solutions, is revolutionizing workplace safety and ergonomics through its advanced robotic arms, particularly the JAKA Pro16. These collaborative robots are designed to alleviate the physical strain on workers by taking over repetitive and physically demanding tasks, such as polishing, grinding, and material handling. By doing so, they significantly reduce the risk of musculoskeletal disorders and work-related injuries that often arise from prolonged repetitive motions and heavy lifting. The JAKA Pro16, notable for its high payload capacity and IP68 protection, is engineered to operate efficiently in harsh environments, lifting heavy loads with precision while minimizing the potential for strains and sprains associated with manual labor. Its robust design ensures stable operation, enhancing safety during heavy-duty tasks. Moreover, JAKA's commitment to ergonomic design allows for flexible deployment and easy programming, enabling manufacturers to adapt their workflows to better suit workers' needs. This adaptability not only improves worker comfort but also fosters a safer working environment. As industries increasingly prioritize worker well-being, JAKA's innovative approach illustrates how integrating collaborative robots into manufacturing processes can lead to safer, more efficient workplaces. By investing in such technologies, companies can protect their workforce while promoting sustainable production growth.
New 20-legged Argus robot redefines robotics with directionless movement design
Researchers at Duke University have unveiled an innovative robotic system that redefines conventional design principles in robotics. This groundbreaking development, announced on October 15, 2023, aims to enhance the adaptability and functionality of robots in various environments. Located in Durham, North Carolina, the team’s work is driven by the need for more versatile robots capable of performing complex tasks in unpredictable settings. The new system employs advanced algorithms and flexible materials, allowing robots to adjust their shapes and movements in real-time based on their surroundings. This adaptability is crucial for applications ranging from search and rescue missions to automated manufacturing processes, where conditions can change rapidly and unpredictably. By integrating insights from biology and engineering, the researchers have created a platform that not only improves the robots' operational efficiency but also reduces the need for extensive reprogramming when faced with new challenges. The implications of this technology extend beyond robotics, potentially influencing fields such as artificial intelligence and materials science. This innovative approach represents a significant step forward in robotic design, promising to enhance the capabilities of machines in both industrial and everyday applications. As the research progresses, the team at Duke University aims to collaborate with industry partners to bring these advancements to practical use, ultimately transforming how robots interact with the world around them.
The Long-Term Value of Robotic Arms for Manufacturing in Small to Medium Enterprises (SMEs)
Small and medium enterprises (SMEs) in the manufacturing sector are increasingly turning to collaborative robots to enhance their operational efficiency and product quality, according to JAKA, a leading provider of robotic solutions. This shift comes as SMEs seek to balance cost control with long-term development, particularly in a competitive market. Historically, many SMEs viewed robotic arms as prohibitively expensive and complex. However, advancements in collaborative robot technology have made these tools more accessible. JAKA's A12L intelligent visual perception robot exemplifies this trend, offering simple programming and quick deployment, which eliminates the need for specialized technicians and extensive workshop modifications. This adaptability allows SMEs to significantly reduce labor costs, which are often their largest expense. The JAKA A12L operates continuously without fatigue, minimizing human error and ensuring consistent production quality. Its intelligent vision system enhances machine tending efficiency, enabling SMEs to maintain stable output and lower defect rates. This capability is particularly valuable as SMEs face challenges related to small-batch and diverse production needs, allowing for rapid reconfiguration of production lines. By adopting JAKA's collaborative robots, SMEs can not only achieve immediate cost savings and efficiency gains but also overcome developmental hurdles, positioning themselves for sustainable growth in the evolving manufacturing landscape. JAKA's commitment to providing cost-effective and user-friendly robotic solutions empowers SMEs to optimize their operations and enhance their competitiveness in the market.
Expert Tips on Getting the Most Out of Your Collaborative Robot Arm
As automation transforms the manufacturing sector, JAKA Robotics is at the forefront with its innovative collaborative robots, particularly the JAKA A12L, which combines intelligent visual perception with collaborative capabilities. This technology is designed to enhance productivity and efficiency in various manufacturing tasks such as loading, unloading, inspection, and sorting. To effectively integrate the JAKA A12L into production, users are advised to familiarize themselves with the robot's features through user manuals and training resources. Understanding its capabilities is essential for maximizing its potential, especially in quality inspection and sorting, which can lead to reduced defect rates and improved processing precision. Effective programming is crucial for optimizing the robot's performance. The JAKA A12L offers user-friendly programming interfaces, allowing users to start with simple tasks and gradually increase complexity. Its reprogrammable nature enables adaptability to changing production needs, while compatibility with vision systems enhances its ability to perform precise measurements and non-destructive testing. Regular performance monitoring is vital for sustained success. By tracking key performance indicators, conducting routine maintenance, and gathering feedback from operators, manufacturers can identify areas for improvement and ensure the robot operates efficiently. By embracing collaborative robots like the JAKA A12L and implementing best practices in programming and monitoring, manufacturers can significantly boost production efficiency and product quality, ultimately driving operational excellence and maintaining a competitive edge in the industry.
The Benefits of High-Speed Joint Actuation in Modern Articulated Robots
In the rapidly evolving manufacturing sector, JAKA Robotics is at the forefront of intelligent automation, showcasing the transformative capabilities of articulated robots, particularly collaborative robots (cobots). These advanced machines, equipped with high-speed joint actuation, are designed to enhance production efficiency and precision. The JAKA Pro5 articulated robot exemplifies this innovation, enabling accelerated production cycles through quick and precise movements that streamline loading, unloading, and assembly processes. This is particularly beneficial in time-sensitive industries like consumer electronics and automotive assembly, where reduced cycle times can significantly boost throughput. Moreover, the high-speed joint actuation not only increases speed but also enhances precision, ensuring consistent quality control in tasks such as component placement and welding. JAKA's robots maintain high accuracy over time, minimizing errors and reducing scrap rates, which is crucial for industries with stringent quality standards. The Pro5 model's compact design and user-friendly programming interface facilitate easy integration into existing production lines, allowing manufacturers to adapt swiftly to changing demands without extensive downtime. This flexibility empowers companies to optimize resources effectively and respond to market fluctuations. As industries continue to evolve, the role of high-speed joint actuation in articulated robots is becoming increasingly vital. By adopting JAKA's technology, organizations can modernize their production processes, improve workplace safety, and enable skilled workers to focus on higher-value tasks, positioning themselves for success in a competitive landscape.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
