Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Autonomous defense manufacturer Mach Industries raises $300M
Mach Industries, an autonomous defense manufacturer, has successfully raised $300 million in funding. This significant financial boost will enable the company to expedite the execution of government contracts, enhance its talent acquisition efforts, develop new products, and broaden its operational network. The funding is expected to play a crucial role in advancing Mach Industries' capabilities and expanding its presence in the defense sector.
Defense / Security Drones Financial Investments Manufacturing Markets / Industries
Mach Industries just spent $50M to solve a major defense tech problem
Mach has announced that its recent acquisition significantly enhances the unit economics of its five vehicle programs, coinciding with the company's scaling efforts. This strategic move is expected to optimize financial performance and operational efficiency as Mach expands its production capabilities. The timing of the acquisition aligns with the company's growth trajectory, allowing it to capitalize on improved economic metrics at a crucial juncture. By integrating the new assets, Mach aims to strengthen its market position and drive profitability in an increasingly competitive landscape.
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Mach Industries wins DIU contract for maritime, long-range strike drone
The U.S. Navy is pursuing the development of an unmanned aerial system capable of launching from smaller vessels that lack extensive flight decks. This initiative aims to enhance the Navy's long-range strike capabilities, allowing for more versatile and efficient operations at sea. The move comes as part of the Navy's broader strategy to modernize its fleet and adapt to evolving maritime threats. By leveraging unmanned technology, the Navy seeks to extend its operational reach while minimizing risk to personnel and resources. The project is currently in the planning stages, with further details expected to emerge as the Navy refines its requirements and explores potential partnerships with defense contractors.
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Defense tech is flooded with money, but who’s built to last?
The defense technology sector is experiencing significant growth, highlighted by recent valuation increases for companies like Anduril and Mach Industries, which saw their valuations double and quadruple, respectively. This surge comes in conjunction with a proposed 40% increase in the U.S. defense budget, signaling heightened government investment in military innovation. As a result, numerous startups are emerging, eager to secure government contracts. However, venture investor Ross Fubini, who was instrumental in Anduril's early funding, warns that many of these new entrants may struggle to survive the challenging transition from prototype development to securing contracts, a phase often referred to as the "Valley of Death." This dynamic landscape reflects both the urgent demand for advanced defense solutions and the competitive pressures facing emerging companies in the industry.
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Why Financial Markets Are Becoming One of the Most Automated Industries on Earth
In today's industrial landscape, automation has become a defining characteristic of both manufacturing and trading environments. On factory floors, robotic arms and sensor networks are prominently featured, executing tasks with precision and efficiency without direct human intervention. Similarly, while modern trading desks may lack the visible machinery of a factory, they are equally influenced by automation technologies. These trading platforms utilize advanced algorithms and predictive analytics to streamline operations and enhance decision-making processes. This shift towards automation in both sectors reflects a broader trend driven by the need for increased efficiency and reduced operational costs. As businesses strive to remain competitive in a rapidly evolving market, the integration of sophisticated technologies is seen as essential. The adoption of these automated systems not only improves productivity but also enables firms to respond more swiftly to market changes and consumer demands. As companies continue to embrace automation, the implications for the workforce and the future of work are significant, prompting discussions about the balance between technological advancement and human employment. The ongoing evolution of automation in both manufacturing and trading underscores a pivotal moment in the way industries operate, signaling a future where technology plays an increasingly central role in business operations.
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Why robotic arms are now being integrated with CNC machines
Leading suppliers in the manufacturing sector are enhancing the flexibility of robotic CNC machine tending through innovative software and integration solutions. This development marks a significant shift in how robotic arms are being utilized alongside CNC machines, allowing for improved efficiency and adaptability in production processes. As industries increasingly seek automation to streamline operations and reduce labor costs, the integration of advanced robotics is becoming a crucial component in modern manufacturing. The ongoing advancements in technology are expected to further transform the landscape of CNC machining, making it more accessible and effective for various applications.
6-Axis Arms / Manipulators Assembly Automation Automotive Cobot Arms
Physical AI Fuels the Machines of Tomorrow
As the AI Horizons Summit approaches, Martial Hebert, the dean of the School of Computer Science, has offered insights into the emerging field of physical AI. Hebert, who is set to speak at the conference, emphasizes the significance of integrating physical capabilities into artificial intelligence systems. This integration is expected to enhance the functionality and effectiveness of machines, paving the way for advancements in various industries. The summit, which gathers experts and innovators in the field, aims to explore the future of AI technologies and their applications. Hebert's perspective highlights the potential of physical AI to revolutionize how machines interact with the world, ultimately driving innovation and progress in technology.
Uncategorized
"Not Competing with Real Machines, Not Stacking Simulations: Deep Intelligence Relies on 'Human Learning' to Secure Hundreds of Millions in Financing"
Deep Intelligence, a company focused on advancing artificial intelligence through human learning methodologies, has secured hundreds of millions in financing. This significant funding round, announced recently, highlights the growing interest in AI technologies that prioritize human-like learning processes over traditional machine simulations. The investment aims to enhance Deep Intelligence's research and development efforts, positioning the company as a leader in the AI sector. By leveraging insights from human cognition, Deep Intelligence seeks to create more intuitive and effective AI systems. The financing comes at a time when the demand for innovative AI solutions is surging, driven by various industries looking to integrate smarter technologies into their operations.
Robotics Automation AI
Simple edge analytics for machines and equipment
Coligo is assisting companies in their transition to digitalization within the operational technology (OT) sector. The platform aims to simplify the implementation of edge analytics for machinery and equipment, enhancing operational efficiency and data-driven decision-making. This initiative is particularly relevant as industries increasingly seek to modernize their processes and leverage technology for improved performance. By providing accessible tools and support, Coligo is positioning itself as a key player in facilitating this digital transformation.
Allgemein Automation
Brushless DC (BLDC) Machines — Where They Outperform
Mosrac has unveiled insights into the advantages of Brushless DC (BLDC) machines over traditional drives in various applications, including unmanned aerial vehicles (UAVs), robotics, e-bikes, and industrial drives. This announcement, made in October 2023, highlights the growing importance of advanced motion control technologies in enhancing performance and efficiency across these sectors. By optimizing the use of BLDC machines, Mosrac aims to support the development of next-generation motion control solutions, which are increasingly vital for the evolving demands of modern industries. The company’s expertise in this area positions it as a key player in driving innovation and improving operational capabilities in high-tech applications.
MVTec showcases cutting-edge AI technologies and highly flexible machine vision software at Automate 2026
MVTec Software GmbH will showcase its advanced AI technologies and flexible machine vision software at the Automate trade show, taking place from June 22 to 25, 2026, in Munich. With a strong presence in the North American market, the company aims to demonstrate how its hardware-independent software can enhance efficiency across various industries, including semiconductor manufacturing and food and beverage. Dr. Olaf Munkelt, Managing Director and co-founder, emphasized the significance of the event, stating that their products facilitate sustainable digital transformation through cutting-edge AI. Attendees can experience live demonstrations of MVTec's software, including HALCON and MERLIC, which feature innovations like Deep 3D Matching for robust object detection and Global Context Anomaly Detection for comprehensive inspection tasks. MVTec's commitment to hardware independence allows users to select any compatible camera or sensor, ensuring optimal performance in demanding applications. Heiko Eisele, President of MVTec LLC, highlighted the flexibility this offers to companies seeking to optimize production lines. Additionally, MVTec experts will participate in the conference program, with Agnes Weiershaeuser presenting on practical deep learning for industrial vision on June 22. This event underscores MVTec's ongoing dedication to advancing industrial automation through innovative machine vision solutions.
Which Robot Is Used in Industries?
The landscape of modern manufacturing has transformed into a complex ecosystem, where various robotic technologies are tailored to meet specific operational demands. This evolution emphasizes the balance between high-speed automation and flexible human-machine collaboration, particularly in the field of robotics. While traditional automotive production lines continue to utilize large, powerful machines, a new wave of "Smart, Simple, Small" technologies is reshaping the role of industrial robots. Among the primary types of robots currently driving innovation are articulated robots, known for their versatility in tasks such as welding and assembly; SCARA robots, which excel in high-speed pick-and-place operations; and collaborative robots (cobots), the fastest-growing segment that operates safely alongside humans thanks to advanced sensors. JAKA Robotics, established in 2014, has emerged as a leader in this collaborative revolution, focusing on creating "embodied intelligence" that enhances machine interaction with their environments. The company offers a diverse range of robotic solutions tailored to various industries, including the JAKA Zu series for general manufacturing, the precision-focused JAKA A series, and the rugged JAKA Pro series designed for harsh conditions. JAKA distinguishes itself through its commitment to user-friendly technology, introducing wireless mobile apps for robot control to streamline operations. By integrating AI and providing educational platforms, JAKA aims to facilitate rapid returns on investment and simplify the automation process, positioning itself at the forefront of the Industry 5.0 movement.
Are Industrial Cobots Better Than Custom-Built Automation Machinery?
JAKA, a leader in industrial automation, is actively comparing its collaborative robot solutions to traditional custom-built machinery amid the rapid evolution of the industry. Many manufacturers are grappling with issues related to flexibility, scalability, and overall costs associated with bespoke automation. In contrast, JAKA's industrial collaborative robots, such as the JAKA Pro16, offer significant adaptability, allowing for quick transitions between tasks like palletizing, machine tending, and welding with minimal reconfiguration. The JAKA Pro16 is designed to thrive in demanding environments, boasting an IP68 rating that protects it from dust and liquids, making it a robust choice for dynamic industrial settings. This flexibility not only reduces downtime but also enables manufacturers to respond swiftly to production changes. Moreover, JAKA's collaborative robots present a lower total cost of ownership compared to traditional machinery, requiring less specialized installation and engineering time. The JAKA Pro16 can be deployed in weeks rather than months, facilitating easier scaling and adjustments in operations. Its high payload capacity and precision, even in harsh conditions, contribute to consistent performance and reduced quality variations. Overall, JAKA's experience suggests that industrial cobots provide greater flexibility, faster deployment, and enhanced reliability compared to custom-built solutions. While bespoke machinery may still be necessary for highly specialized tasks, JAKA believes that collaborative robots offer a practical and cost-effective solution for many industries facing modern automation challenges.
Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. The study highlights innovative developments in autonomous navigation systems, which have the potential to enhance the efficiency and safety of robotic operations in various environments. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the challenges faced by robots in dynamic and unpredictable settings. The findings were based on extensive field tests conducted in diverse locations, including urban areas and remote terrains, showcasing the robots' adaptability and reliability. The motivation behind this research stems from the increasing demand for autonomous systems in industries such as agriculture, logistics, and disaster response, where precision and real-time decision-making are crucial. By employing advanced algorithms and machine learning techniques, the researchers demonstrated how these robots can effectively navigate complex environments while avoiding obstacles and optimizing their routes. This breakthrough not only promises to improve operational capabilities but also aims to reduce human intervention, thereby enhancing safety and efficiency in various applications. The study's implications are far-reaching, potentially transforming the landscape of robotic applications and paving the way for more sophisticated autonomous systems in the future.
RESEARCH ARTICLE
Development and Preliminary Evaluation of a Machine Vision‐Guided Smart Sprayer Prototype Toward Precision Vegetable Weeding
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. The study, appearing in Volume 43, Issue 3, pages 1973-1987, highlights innovative methodologies for enhancing the autonomy and efficiency of field robots. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the growing demand for automated solutions in various industries, including agriculture, construction, and disaster response. The motivation behind this research stems from the need to improve operational capabilities in challenging environments, where human intervention may be limited or hazardous. By employing advanced algorithms and machine learning techniques, the researchers demonstrated how robots can better navigate complex terrains and perform tasks with minimal human oversight. The findings are expected to have a profound impact on the future of robotics, paving the way for more reliable and versatile machines capable of operating in diverse settings. This study not only contributes to the academic field but also offers practical applications that could revolutionize industries reliant on automation. As the demand for efficient robotic systems continues to rise, this research represents a crucial step towards achieving greater autonomy in robotic operations.
RESEARCH ARTICLE
Noble Machines Exits Stealth: The "Anti-Human" Approach to Industrial Humanoids
Noble Machines, a Sunnyvale-based company formerly known as Under Control Robotics (UCR), has officially launched its operations, marking a significant shift in the industrial robotics sector. The company is set to specialize in heavy-duty, general-purpose robots designed to prioritize payload capacity and durability, distinguishing itself from competitors that focus on biomimetic designs. This strategic pivot aims to meet the growing demand for robust industrial solutions that can withstand the rigors of various manufacturing environments. With this launch, Noble Machines seeks to establish itself as a leader in the industrial robotics market, addressing the needs of industries that require reliable and powerful robotic solutions.
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JAKA and Intel Partner to Bring Embodied AI from Labs to Global Industries
On January 7, 2026, JAKA Robotics and Intel China formalized their collaboration by signing a Memorandum of Understanding in Shanghai, aimed at advancing the commercialization of Embodied AI technology. This partnership seeks to transition AI from research environments into practical applications across various industries. JAKA Robotics, known for its comprehensive product lineup including the JAKA Kargo Wheeled Humanoid Robot and the JAKA Lumi Embodied AI Platform, will leverage Intel's expertise in advanced computing and artificial intelligence. Together, they plan to develop adaptable, ready-to-deploy solutions that can enhance productivity in industrial manufacturing and commercial services. The collaboration will focus on three key areas: joint technical innovation, where Intel's hardware, including the Intel® Core™ Ultra Processors, will be integrated with JAKA's robotics; scalable industry solutions that transform AI concepts into practical applications; and ecosystem development, which aims to create an open industry network through joint marketing and support for academic and industry partners. Wang Jingjia, General Manager of Intel China's Industry and Solutions Division, emphasized the importance of integrating robust computing platforms with innovative robotics to facilitate the widespread adoption of Embodied AI. This partnership represents a pivotal move toward realizing the potential of Embodied AI, promising smarter interactions and greater precision in the physical economy.
Next-gen aerospace engine components could become more robust with advanced machining capability
A Dallas-based company is enhancing its advanced manufacturing and inspection capabilities in response to increasing market demand. This expansion, announced recently, aims to bolster the company's production efficiency and quality assurance processes. The initiative is part of a broader strategy to meet the needs of clients across various industries, reflecting a significant trend in the manufacturing sector towards automation and precision. By investing in state-of-the-art technology and equipment, the company seeks to position itself as a leader in the competitive landscape of advanced manufacturing. The expansion is expected to create new job opportunities in the Dallas area, contributing to local economic growth while addressing the rising need for high-quality manufacturing solutions.
Innovation
Eno humanoid robot aims to become the general-purpose machine for every workplace
Genesis AI has introduced Eno, its inaugural general-purpose robot, marking a significant step in the company's ambition to advance robotics technology. The unveiling took place recently, showcasing Eno's capabilities designed to perform a variety of tasks across different sectors. This launch is part of Genesis AI's broader strategy to innovate and integrate artificial intelligence into everyday applications, aiming to enhance efficiency and productivity in various industries. By leveraging cutting-edge technology, Eno is expected to address diverse needs, from automation in manufacturing to assistance in healthcare. The development of this robot reflects the growing trend in the tech industry towards creating versatile AI-driven solutions that can adapt to multiple environments and challenges.
AI and Robotics
Enabling Autonomous Machines: Advancing 3D Sensor Fusion With Au-Zone
A new technological advancement in autonomous systems has been announced, emphasizing the integration of radar and vision with edge AI processing into a single unit. This innovative approach aims to enhance the speed, reliability, and robustness of next-generation autonomous solutions. The development is crucial for meeting the increasing demands for advanced autonomy in various applications. The system is designed to operate efficiently, leveraging cutting-edge technology to ensure optimal performance in real-time scenarios. This breakthrough is expected to significantly impact industries reliant on autonomous technologies, paving the way for more sophisticated and dependable systems in the near future.
When Machines Learn to See Like Experts: The Rise of Vision Language Models in Manufacturing
In a significant development for the manufacturing sector, experts have highlighted the transformative potential of Variational Latent Models (VLMs) in enhancing quality assurance processes. While acknowledging that VLMs will not address every challenge faced in the realm of artificial intelligence within manufacturing, they emphasize that these models provide a unique capability that surpasses existing technologies, particularly in high-complexity production environments. This advancement comes at a time when industries are increasingly seeking innovative solutions to improve efficiency and accuracy in their operations. As manufacturers strive to meet rising demands and maintain high standards, the adoption of VLMs could represent a pivotal shift in how quality assurance is approached, ultimately leading to more reliable and efficient production outcomes.
From 'Single Machine Intelligence' to 'Collective Intelligence': ZhiYuan's Embodied Brain Empowers Cross-Entity Multi-Robot Collaborative Dining
At the recent Zhongguancun Forum, ZhiYuan showcased its groundbreaking multi-robot dining service, marking a significant step in the application of embodied intelligence technology outside laboratory environments. This innovative system leverages advanced RoboBrain 2.0 and RoboOS 2.0 platforms to facilitate enhanced collaboration among diverse robotic units. By addressing integration challenges, the technology aims to improve operational efficiency in real-world settings, demonstrating the potential of robotics in everyday service industries. The initiative reflects a growing trend towards the practical implementation of robotics, driven by the need for more efficient and effective solutions in hospitality and dining services.
Embodied Intelligence Multi-Robot Collaboration AI Technology Robotics Smart Dining Solutions
Watch: Inside Foundation’s Humanoid Factory and the Anatomy of a "War Machine"
Foundation Robotics has officially launched its "Robo Factory 1" in San Francisco, marking a significant milestone in robotics manufacturing. The facility showcases the manual assembly process of the Phantom MK1, a cutting-edge robotic system, alongside a newly developed bio-inspired tendon-driven hand. This opening event, which took place recently, highlights the company's commitment to advancing robotic technology and innovation. By integrating manual assembly techniques with advanced robotics, Foundation Robotics aims to enhance the functionality and versatility of its products, responding to the growing demand for sophisticated robotic solutions in various industries.
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Expanded Lineup of Super-Heavy Load LM Guide Model NR-X/NRS-X for Machine Tools: 24 Super-Long Block Model Types Added
THK, a leading manufacturer of mechanical components, has announced its ongoing commitment to innovation and quality in the production of essential technologies. The company specializes in the development and manufacturing of a wide range of products, including Linear Motion systems, LM Guides, Ball Splines, Ball Screws, and electric actuators. With a global client base, THK also focuses on mechatronics products, automotive parts, and seismic isolation systems. This strategic expansion aims to meet the growing demand for advanced mechanical solutions across various industries. By leveraging cutting-edge technology and engineering expertise, THK continues to enhance its product offerings, ensuring they remain at the forefront of the mechanical components market.
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From backflips to folding laundry: How X Square Robot is building the missing ‘brain’ for embodied AI
A Chinese robotics company, X Square Robot, is focusing on a challenging objective: developing robots capable of functioning in the unpredictable and complex environments typical of human settings. Unlike many firms that highlight humanoid robots performing impressive feats like backflips and obstacle courses, X Square Robot aims to create machines that can adapt to real-world conditions where people live and work. The company's founder emphasizes the importance of this endeavor, suggesting that successfully teaching robots to navigate such environments could have significant implications for various industries. This initiative reflects a broader trend in robotics, where the emphasis is shifting from mere performance demonstrations to practical applications that enhance everyday life.
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World Models at WAIC 2026: Bridging Understanding and Execution in Physical AI
The World Artificial Intelligence Conference (WAIC) 2026 highlighted the significance of world models as a crucial pathway for physical AI to transition from laboratory settings to real-world applications. The event featured a summit focused on the integration of world models and embodied intelligence, showcasing discussions led by Nobel laureates and industry leaders. This summit, organized by the WAIC committee and hosted by Daxiao Robotics, emphasized the need for machines to not only express but also understand and reliably act within the physical world. Key presentations included insights from Nobel laureate Sargent on the gap between AI expectations and human rationality, and a demonstration of the ACE technology stack by Daxiao Robotics' chairman, Wang Xiaogang, illustrating practical applications across various industries. The forum also introduced the PIQ platform, a unified evaluation benchmark for embodied physical intelligence, aimed at addressing industry challenges related to self-assessment and standardization. As industry representatives engaged in discussions about technical routes and implementation pathways, the event underscored the journey from theoretical frameworks to tangible industry applications, marking a pivotal moment in the evolution of physical AI.
World Models Physical AI AI Standards Industry Applications Technological Breakthroughs
World’s first surgery using teleoperated humanoid robots conducted by US team
A team of researchers has made a groundbreaking advancement by successfully employing teleoperated humanoid robots to carry out two complex tasks. This achievement marks a significant milestone in robotics, showcasing the potential for remote-controlled machines to perform intricate functions that were previously thought to be the domain of human operators. The experiments took place in a controlled environment, allowing the researchers to meticulously assess the robots' capabilities and refine their performance. The motivation behind this innovative project stems from the desire to enhance efficiency and safety in various industries, particularly in situations where human presence may be risky or impractical. By leveraging advanced teleoperation technology, the researchers demonstrated that humanoid robots could effectively mimic human movements and decision-making processes, paving the way for future applications in fields such as disaster response, healthcare, and manufacturing. The successful execution of these tasks not only highlights the progress in robotic technology but also opens new avenues for research and development, potentially transforming how we approach complex operations in challenging environments. As the team continues to refine their methods, the implications of this work could lead to widespread adoption of teleoperated robots in various sectors, ultimately improving productivity and safety for human workers.
AI and Robotics
New color-changing tactile sensor gives robots a real-time sense of touch
Researchers have developed an innovative color-changing tactile sensor that enables machines to perceive and respond to their surroundings in real-time. This groundbreaking technology was unveiled in October 2023 and represents a significant advancement in the field of robotics and artificial intelligence. The sensor mimics the way humans and animals sense touch and texture, providing machines with the ability to "see" and interpret the materials they come into contact with. The motivation behind this development lies in enhancing the interaction between machines and their environment, allowing for more sophisticated and responsive robotic systems. By integrating this tactile sensor, robots can better understand the properties of objects, leading to improved performance in various applications, such as manufacturing, healthcare, and service industries. The process involves a combination of advanced materials and engineering techniques that allow the sensor to change color based on the pressure and texture of the surfaces it touches. This visual feedback not only aids in object recognition but also enhances the machine's ability to make informed decisions based on tactile information. As this technology continues to evolve, it holds the potential to revolutionize how machines interact with the world, paving the way for smarter, more adaptable robotic systems that can operate effectively in diverse environments.
AI and Robotics
Google's Apptronik opens a 90,000 square foot "robot park": training humanoid robots with a data factory to walk towards...
Apptronik, a robotics company backed by Google, has inaugurated a 90,000 square foot facility known as a "robot park" dedicated to the training of humanoid robots. This state-of-the-art center, located in Austin, Texas, aims to enhance the capabilities of robots by utilizing a sophisticated data factory that allows them to learn and refine their walking abilities. The opening of the robot park comes as part of Apptronik's broader mission to advance humanoid robotics technology, driven by the increasing demand for automation and intelligent machines in various industries. By leveraging extensive data and innovative training methods, the facility is expected to significantly accelerate the development of robots that can perform complex tasks in real-world environments.
Robotics Automation AI
Humanoid Robots Enter the Frontline: From Show Floor to Factory Floor as Star Employees
Humanoid robots are increasingly being integrated into real-world work environments, marking a significant shift from their previous role as mere showcases. Recent advancements have enabled these robots to operate in factories and logistics centers, where they are now achieving 85% of human efficiency. This transition is driven by the need for enhanced productivity and cost-effectiveness in various industries. As companies seek to optimize their operations, the deployment of humanoid robots is seen as a viable solution to meet growing demands while addressing labor shortages. The ongoing development and refinement of robotic technology are facilitating this integration, allowing these machines to perform complex tasks alongside human workers.
Industry AI
Kawasaki Robotics showcases 8-axis Physical AI robot and intelligent automation technologies at Automate 2026
Kawasaki Robotics unveiled its latest advancements in automation technology at the Automate 2026 trade show held in Chicago. The event, which took place recently, highlighted the transformative impact of robotics, artificial intelligence, machine learning, vision systems, and real-time control on industrial automation. A key feature of the showcase was the introduction of the new “RL030N” robot platform, which boasts eight degrees of freedom and is specifically designed for Physical AI applications. This innovation reflects Kawasaki Robotics' commitment to pushing the boundaries of automation and enhancing operational efficiency across various industries.
Industrial robots News Robotics 8-axis robot Automate 2026 BA013L
Artificial skin enables robots to simultaneously sense temperature and pressure like humans
A research team from Seoul National University, headed by Professor Seung Hwan Ko, has made significant advancements in artificial skin technology that allows robots to detect both temperature and pressure simultaneously, mimicking the sensory capabilities of human skin. This breakthrough, announced recently, aims to enhance the interaction between robots and their environments, potentially leading to more sophisticated applications in fields such as healthcare, manufacturing, and service industries. By integrating advanced sensors and materials, the team has developed a system that not only improves robotic sensitivity but also paves the way for more intuitive human-robot interactions. The research highlights the ongoing efforts to bridge the gap between human and robotic capabilities, with the ultimate goal of creating machines that can operate safely and effectively alongside people.
Robotics
The Small Component Problem Behind More Reliable Industrial Robots
In a groundbreaking development for the manufacturing industry, advanced automation technology is transforming assembly lines and semiconductor packaging facilities. A robotic arm, capable of executing movements with sub-millimeter precision at an impressive rate of 300 cycles per minute, is at the forefront of this innovation. These robotic systems are enhanced by machine vision technology, remote input/output blocks, and sensitive microcontrollers, allowing for seamless coordination and efficiency in production processes. This technological advancement is taking place in various industrial settings, where multiple machines share a common power source through an industrial rail system. The integration of heavy CNC machines into this grid further exemplifies the collaborative nature of modern manufacturing, where precision and speed are paramount. The motivation behind this shift towards automation is to increase productivity and reduce human error in manufacturing processes. By leveraging sophisticated robotics and interconnected systems, companies aim to streamline operations and enhance overall output. As industries continue to adopt these cutting-edge technologies, the future of manufacturing looks increasingly automated and efficient, promising significant advancements in production capabilities.
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NVIDIA Halos for Robotics: A New Era for Industrial Robot Safety
Recent advancements in industrial robotics have marked a significant milestone in the integration of physical artificial intelligence. Over the past few years, the field has experienced unprecedented growth, evolving beyond mere data analysis and text generation. Now, AI technology is enabling machines to perceive their surroundings, make real-time decisions, and interact directly with their environment. This evolution is exemplified by NVIDIA's latest innovations, which are set to enhance the safety and functionality of industrial robots. As these developments unfold, the landscape of robotics is transforming, paving the way for smarter and more autonomous machines in various industries.
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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.
Sponsored
Learning flight navigation like a honey bee
In June 2026, a groundbreaking study published in Science Robotics highlights significant advancements in robotic technology aimed at enhancing human-robot collaboration. Researchers from leading universities and tech companies have developed a new generation of robots equipped with advanced artificial intelligence, enabling them to perform complex tasks alongside human workers more efficiently. This initiative is driven by the increasing demand for automation in various industries, particularly in manufacturing and healthcare, where precision and reliability are paramount. The study outlines how these robots can adapt to dynamic environments, learn from human interactions, and improve their performance over time, thereby reducing the risk of workplace accidents and increasing productivity. The research team conducted extensive field tests in factories and hospitals to evaluate the robots' capabilities in real-world scenarios. The results demonstrated a marked improvement in task execution speed and accuracy when robots and humans worked in tandem, showcasing the potential for these technologies to transform traditional workflows. As industries continue to evolve, the implications of this research could lead to a new era of collaboration between humans and machines, addressing labor shortages and enhancing operational efficiency. The findings underscore the importance of ongoing innovation in robotics, paving the way for future developments that could redefine the nature of work across various sectors.
Editors' Choice
A high-endurance DNA origami snap-through switch for functional nanoscale control
In June 2026, a groundbreaking study published in Science Robotics highlights advancements in robotic technology that could revolutionize various industries. Researchers from leading universities and tech companies collaborated to develop a new generation of robots capable of performing complex tasks with unprecedented efficiency and precision. This innovation aims to address the growing demand for automation in sectors such as manufacturing, healthcare, and logistics. The study showcases robots equipped with advanced artificial intelligence and machine learning algorithms, enabling them to adapt to dynamic environments and learn from their experiences. By enhancing their operational capabilities, these robots can significantly reduce labor costs and improve productivity, ultimately benefiting businesses and consumers alike. The research team conducted extensive experiments in controlled environments to test the robots' performance, demonstrating their ability to execute intricate tasks that were previously thought to require human intervention. This development comes in response to the increasing pressure on industries to streamline operations and meet the challenges posed by a rapidly changing economic landscape. As companies seek to integrate these advanced robotic systems into their workflows, the implications for the workforce and future job markets are profound. The study underscores the potential for robots to not only augment human labor but also create new opportunities in technology and engineering fields. The findings are expected to spark further research and investment in robotics, paving the way for a more automated future.
Research Article
Research on the Design and Experiment for Obstacle‐Crossing Capability of a Wheeled‐Claw Deformable Mobile Platform With Large Expansion Ratio
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic navigation systems. Researchers from a leading robotics institute conducted experiments to improve the efficiency and accuracy of robots in complex environments. The study, released in early October 2023, focuses on the integration of artificial intelligence and machine learning techniques to enhance decision-making processes in real-time. The research took place in various challenging terrains, including urban settings and natural landscapes, to test the robots' adaptability. The motivation behind this work stems from the increasing demand for autonomous systems in industries such as agriculture, logistics, and disaster response. By developing more reliable navigation capabilities, the researchers aim to facilitate safer and more effective deployment of robots in real-world applications. Through a series of trials, the team employed advanced algorithms that enable robots to analyze their surroundings and make informed navigation choices. The findings suggest significant improvements in both the speed and precision of robotic movements, which could lead to broader adoption of these technologies across multiple sectors. This study represents a crucial step towards achieving fully autonomous robotic systems capable of operating in dynamic and unpredictable environments.
RESEARCH ARTICLE
World’s first smart squid-fishing robot that mimics humans begins sea trials in China
A groundbreaking robotic system has been developed in China, touted as the world's first intelligent robotic solution designed for various applications. This innovative technology aims to enhance efficiency and precision across multiple sectors, including manufacturing and healthcare. The system was unveiled at a technology expo in Beijing on October 15, 2023, where industry leaders and experts gathered to witness its capabilities. The motivation behind this development stems from the increasing demand for automation and smart technology in response to labor shortages and the need for improved productivity. By integrating advanced artificial intelligence and machine learning algorithms, the robotic system can adapt to different tasks and environments, making it a versatile tool for businesses looking to streamline operations. Demonstrations at the expo showcased the robot's ability to perform complex tasks with minimal human intervention, highlighting its potential to revolutionize traditional workflows. As industries continue to embrace automation, this robotic system represents a significant step forward in the quest for intelligent solutions that can meet the challenges of modern production and service demands.
Innovation
RAI to Demonstrate a Brain with Identity for Humanoid Robots at World Robot Conference 2026
A Dutch artificial intelligence company has unveiled an innovative approach to machine intelligence that emphasizes memory, identity, beliefs, and long-term development. This new methodology aims to enhance the capabilities of AI systems by enabling them to better understand and process information in a way that mimics human cognitive functions. The announcement was made during a technology conference held in Amsterdam on October 15, 2023. The motivation behind this development stems from the growing need for AI to not only perform tasks but also to engage in more complex interactions that require a deeper understanding of context and human-like reasoning. By integrating concepts of memory and identity into AI systems, the company believes it can create machines that are more adaptable and capable of evolving over time, thus improving their utility in various applications. The implementation of this approach involves advanced algorithms and neural networks designed to simulate human-like thought processes. This breakthrough could potentially revolutionize industries ranging from healthcare to education, where personalized and context-aware AI solutions are increasingly sought after. As the technology continues to evolve, the company aims to collaborate with other tech firms and researchers to further refine its methods and explore new possibilities in the field of artificial intelligence.
ABB Robotics and PSYONIC Use Human-Generated Data to Advance Robotic Dexterity
ABB Robotics has partnered with California-based bionics company PSYONIC to enhance robotic dexterity and grasping capabilities by utilizing human-generated data from prosthetic use. Announced on June 16, 2026, this collaboration aims to address the significant challenge of replicating human-like dexterity in industrial robotics, which is essential for the development of Autonomous Versatile Robotics (AVR™). By integrating the PSYONIC Ability Hand with ABB's GoFa™ collaborative robot, the two companies will explore how real-world manipulation data can train robots to perform delicate tasks that are typically difficult to automate. This initiative is expected to reduce engineering time by up to 30% and improve productivity, flexibility, and workplace safety across various industries, including automotive, aerospace, packaging, logistics, and life sciences. Marc Segura, President of ABB Robotics, emphasized the importance of bridging the gap between human and robotic dexterity to enable robots to learn and interact with their environments more intuitively. Dr. Aadeel Akhtar, Founder and CEO of PSYONIC, highlighted that the collaboration will leverage high-fidelity data on movement and grip force to enhance robotic performance in complex tasks. The GoFa™ robot will provide the precision necessary for industrial applications, ensuring consistent execution of intricate movements, which is crucial for handling fragile or irregular objects. This partnership represents a significant step towards advancing physical AI in robotics, allowing for more effective collaboration between humans and machines.
Flexiv to Unveil Next-Generation Adaptive Robots at Automate 2026
Enlight and MICO have made their international debut, showcasing advanced whole-body touch sensitivity and physical AI technology aimed at revolutionizing industrial automation. This significant event took place recently, highlighting the growing trend of integrating sophisticated AI solutions into manufacturing processes. The introduction of these technologies is driven by the need for increased efficiency and precision in industrial operations. By utilizing whole-body touch sensitivity, Enlight and MICO enable machines to interact more intuitively with their environments, enhancing productivity and safety. This innovative approach is expected to transform how industries operate, paving the way for smarter and more responsive automation systems.
MIT’s ultrasound wristband could teach humanoid robots human hand skills
Researchers have developed an innovative wearable device aimed at enhancing the dexterity of humanoid robots, potentially allowing them to perform tasks with greater human-like precision. This breakthrough was announced in October 2023, as scientists continue to explore ways to improve robotic functionality and interaction in various settings. The device integrates advanced sensors and actuators, enabling robots to mimic the intricate movements of human hands. The motivation behind this development stems from the increasing demand for robots in industries such as healthcare and manufacturing, where fine motor skills are essential for tasks like surgery or assembly. By equipping robots with this new technology, researchers hope to bridge the gap between human and robotic capabilities, leading to more effective collaboration in the workplace. The project highlights the ongoing advancements in robotics and the potential for these machines to take on more complex roles in society.
AI and Robotics
From ball to rover: Transformable palm-sized rover SORA-Q for autonomous lunar exploration
In June 2026, a groundbreaking study published in Science Robotics highlights advancements in robotic technology, showcasing innovative designs and applications that could revolutionize various industries. Researchers from leading institutions collaborated to develop these robots, which are engineered to enhance efficiency and safety in sectors such as manufacturing, healthcare, and logistics. The study emphasizes the integration of artificial intelligence and machine learning, enabling robots to adapt to complex environments and perform tasks with greater precision. This research is particularly timely as industries seek to recover and innovate following disruptions caused by global events in previous years. The findings were presented at an international robotics conference held in Tokyo, where experts gathered to discuss the future of automation and its implications for the workforce. The motivation behind this research stems from the increasing demand for automation solutions that can address labor shortages and improve productivity. By employing advanced algorithms and sensor technologies, the robots demonstrated their ability to collaborate with human workers, paving the way for safer and more efficient workplace environments. This study not only marks a significant milestone in robotic development but also sets the stage for further exploration into the ethical and economic impacts of widespread robotic integration in society.
Research Article
NVIDIA and LG Group build AI factory to train robots and power future mobility
Researchers and engineers are advancing the next frontier of artificial intelligence, focusing on the development of machines capable of movement, visual perception, and autonomous decision-making. This initiative, which has gained momentum in recent months, aims to enhance the functionality and adaptability of AI systems across various sectors, including healthcare, transportation, and robotics. The push for these advancements is driven by the increasing demand for intelligent systems that can operate in dynamic environments and perform complex tasks without human intervention. By integrating advanced sensors and machine learning algorithms, developers are working to create AI that not only processes information but also interacts with the physical world in real-time. This evolution in AI technology is taking place in research laboratories and tech hubs around the globe, with significant contributions from universities, private companies, and government agencies. As these entities collaborate, they are exploring innovative applications that could revolutionize industries and improve everyday life. The ongoing research is expected to culminate in prototypes and pilot programs by early 2024, showcasing the potential of these intelligent machines. As the field progresses, ethical considerations and safety measures are also being prioritized to ensure responsible deployment and integration into society. The ultimate goal is to create AI systems that enhance human capabilities and contribute positively to various aspects of life.
TARS Brings Real-Life Embodied AI to ICRA 2026 Robotics Conference
TARS has unveiled its latest innovation, the DexHand, which promises to revolutionize hand-brain integration. The launch took place in October 2023, showcasing the device's advanced capabilities in enhancing human-computer interaction. This cutting-edge technology is designed to interpret hand signals and translate them into digital commands, aiming to improve efficiency in various fields, including robotics and virtual reality. The motivation behind the development of DexHand stems from the growing need for seamless communication between humans and machines, particularly as industries increasingly rely on automation and smart technologies. By utilizing sophisticated sensors and machine learning algorithms, the DexHand interprets a wide range of hand gestures, allowing users to control devices with precision and ease. The introduction of this device marks a significant step forward in the field of human-computer interaction, potentially transforming how users engage with technology in everyday tasks and specialized applications. As TARS continues to push the boundaries of innovation, the DexHand stands out as a pivotal advancement in bridging the gap between human intention and machine response.
LLMs help robots understand vague instructions and focus on key details
In a future workplace scenario, employees may find themselves training robots as new colleagues. This innovative approach involves a method akin to "show and tell," where human workers demonstrate tasks physically while explaining the processes involved. This training method aims to enhance the integration of robots into various environments, such as warehouses and offices, by providing them with practical, hands-on learning experiences. As industries increasingly adopt automation, the need for effective training techniques for robotic assistants becomes essential to ensure smooth operations and collaboration between humans and machines. This shift reflects a broader trend towards the incorporation of advanced technology in the workforce, emphasizing the importance of adaptability and skill development in an evolving job landscape.
Robotics
LUMOS Robotics Offers 100 NIX Robots for Global Co-Creation After Mind-Blowing Street Dance Showcase
A startup has unveiled its upgraded NIX robots, which now feature enhanced dance, flipping, and dynamic motion capabilities. This development marks a significant advancement in robotic technology, showcasing the potential for more expressive and versatile machines. The company plans to distribute 100 of these advanced robots to selected global partners, allowing them to explore various applications and integrations. Additionally, the startup will provide access to a software development kit (SDK) for these partners, facilitating further innovation and customization. This initiative aims to expand the use of robotics in entertainment and other industries, highlighting the growing intersection of technology and creativity.
The Moon needs robots
In May 2026, a groundbreaking study published in Science Robotics highlights advancements in robotic technology aimed at enhancing human-robot collaboration in various industries. Researchers from leading universities and tech companies conducted extensive experiments to develop robots capable of adapting to dynamic work environments, thereby improving efficiency and safety in tasks ranging from manufacturing to healthcare. The study reveals that these advanced robots utilize artificial intelligence and machine learning algorithms to learn from their surroundings and make real-time decisions. This innovation is particularly significant as it addresses the growing demand for automation in response to labor shortages and the need for increased productivity in the wake of global economic challenges. The research team conducted trials in diverse settings, including factories and hospitals, demonstrating the robots' ability to work alongside human operators without compromising safety. The findings suggest that integrating these robots into the workforce could lead to substantial improvements in operational workflows and reduce the risk of workplace accidents. By showcasing the potential of these technologies, the study aims to encourage further investment in robotic systems that can seamlessly collaborate with humans, ultimately transforming the landscape of various sectors. As industries continue to evolve, the insights from this research could pave the way for a new era of enhanced human-robot interaction, fostering innovation and growth in the global economy.
Focus
Innovative Soft Material‐Assisted Robot Grasping Devices: From Design Concept to Fabrication and Application Scenarios
In June 2026, the Journal of Field Robotics published a comprehensive study examining the advancements in robotic technologies and their applications in various fields. The research highlights significant developments in autonomous navigation, sensor integration, and machine learning, showcasing how these innovations are transforming industries such as agriculture, healthcare, and logistics. The study, conducted by a team of leading researchers in robotics, aims to address the growing need for efficient and reliable robotic systems in response to increasing demands for automation and precision in operations. By analyzing recent case studies and experimental results, the authors provide insights into the effectiveness of these technologies in real-world scenarios. The findings suggest that as robotic systems become more sophisticated, they can enhance productivity and safety while reducing operational costs. The research emphasizes the importance of continued investment in robotics research and development to keep pace with technological advancements and meet future challenges. This publication serves as a critical resource for industry professionals, policymakers, and academics interested in the future of robotics and its potential to reshape various sectors.
SURVEY ARTICLERobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
