Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Rough Surface Gripper for Handling
Schmalz has introduced the FSGA-78 CF balg suction gripper, designed to adapt effectively to structured materials, ensuring a secure grip. This innovative solution addresses the challenges posed by rough surfaces, enhancing operational efficiency in various industrial applications. The product aims to improve handling processes by providing reliable performance even in demanding environments.
Allgemein Greifer & Werkzeuge Robotik
Replacing Grasping with Support: EPFL Team Proposes a New Paradigm for Robot Manipulation
Researchers from the École Polytechnique Fédérale de Lausanne (EPFL) have unveiled a groundbreaking robotic manipulation technique that moves away from conventional grasping methods to a surface-based support system. This new approach enables robots to interact with a wide range of objects without requiring stable grips, significantly improving their dexterity. The development, announced recently, has the potential to transform automation processes across multiple industries, enhancing efficiency and versatility in robotic applications. By allowing robots to manage objects more fluidly and adaptively, this innovation could lead to advancements in fields such as manufacturing, logistics, and service industries.
Robotic Manipulation Automation Technology Surface-Based Handling EPFL Research
RS Aqua Announces Strategic Partnership with US -based Seasats to Bring Autonomous Surface Vehicles to UK and Ireland Defence Market
RS Aqua has formed a strategic partnership with Seasats, a developer of unmanned surface vehicles (USVs) based in San Diego, to launch a new range of security platforms tailored for the defense market in the United Kingdom and Ireland. This collaboration aims to enhance maritime security capabilities in these regions, responding to an increasing demand for advanced surveillance and operational solutions. The partnership is expected to leverage Seasats' innovative technology and RS Aqua's established presence in the UK and Ireland to effectively address the evolving security challenges faced by defense sectors.
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Festo Introduces GripperAI, an AI-based Solution for Mixed-Product Robotic Handling
A new software has been developed that enhances the efficiency of gripping tools in various applications. This innovative technology automatically selects the most suitable gripping tool and adjusts for a range of mixed products, making it adaptable to different tasks. Utilizing low-cost 3D cameras, the software provides a cost-effective solution for industries requiring precision and versatility in handling products. The training data for this software includes information up to October 2023, ensuring it incorporates the latest advancements in technology and user needs. This development aims to streamline operations and reduce costs for businesses, ultimately improving productivity in manufacturing and logistics sectors.
Surface Electromyography‐Based Hand Gesture Recognition Using Optimized Attention Network for Human‐Robot Interaction
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. The study, which spans pages 1661 to 1678 in Volume 43, Issue 3, explores innovative methods for enhancing the capabilities of field robots. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the growing demand for efficient and autonomous systems in various industries, including agriculture, search and rescue, and environmental monitoring. The motivation behind this research stems from the increasing complexity of tasks that robots are expected to perform in unpredictable environments. By developing new algorithms and improving sensor integration, the researchers aim to enable robots to operate more effectively in real-world scenarios. The study outlines a series of experiments conducted in diverse settings, demonstrating the robots' ability to adapt to changing conditions and execute tasks with greater precision. Through rigorous testing and analysis, the team highlights the potential for these advancements to revolutionize how robots are deployed in the field, ultimately leading to enhanced productivity and safety. The findings are expected to influence future developments in robotic design and application, paving the way for smarter, more capable machines that can tackle a wide range of challenges.
RESEARCH ARTICLE
Bearing‐Based Moving Target Fencing Control for Multiple Underactuated Autonomous Surface Vehicles With Fixed‐Time Differentiators
In May 2026, the Journal of Field Robotics published a comprehensive study examining advancements in robotic technology and its applications in various fields. Researchers from leading institutions collaborated to investigate the integration of artificial intelligence and machine learning in field robotics, aiming to enhance efficiency and adaptability in challenging environments. The study highlights significant breakthroughs in navigation systems and sensor technologies, which are crucial for deploying robots in agriculture, disaster response, and environmental monitoring. The findings underscore the importance of interdisciplinary approaches in advancing robotic capabilities and address the growing demand for automation in sectors facing labor shortages. By showcasing successful case studies and experimental results, the research provides a roadmap for future innovations in the field, emphasizing the potential of robotics to transform industries and improve operational outcomes.
RESEARCH ARTICLE
Evaluating humanoids for surface finishing applications
In response to the health risks and ergonomic challenges associated with manufacturing processes like sanding, polishing, blasting, grinding, coating, and painting, there is a growing interest in automating these tasks with robotic technology. Industries are exploring the potential of humanoid robots to enhance efficiency and safety in surface finishing applications. As the demand for automation increases, particularly for handling larger parts, the design and capabilities of robotic arms are being evaluated to meet these specific operational needs. This shift aims to reduce the physical strain on workers while improving productivity across various manufacturing sectors.
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IFOY Competition Names 17 Finalists for Material Handling Awards
The IFOY competition has announced its 17 finalists in the material handling sector, highlighting innovative automation solutions that are transforming warehouse operations. Among the contenders is Locus Robotics, a company known for its cutting-edge technology in logistics and automation. The finalists were selected based on their ability to enhance efficiency and productivity within the industry. This year's competition aims to showcase advancements that not only streamline processes but also address the growing demand for automation in supply chain management. The winners will be revealed during the IFOY Awards ceremony, which is set to take place later this year, emphasizing the importance of innovation in the evolving landscape of material handling.
Facility Maintenance: Lavo Bot AI and NVIDIA Bring Autonomy to Exterior Surface Cleaning
A new advanced navigation system has been introduced, designed to enhance operational efficiency on job sites. This innovative technology utilizes sophisticated mapping, multi-sensor vision, and zone-based safety features to confidently navigate areas of up to 6,000 square feet per hour. It is capable of supporting pressure-wash rigs that operate at a rate of up to 12 gallons per minute and can handle pressures of 4,500 PSI. This development aims to streamline processes in various industries, ensuring safety and effectiveness in demanding environments. The system is expected to significantly improve productivity and safety standards for workers on-site.
Three Reasons Why Your Factory Needs an Integrated Cobot Solution (Cobot + Vision)
Manufacturing facilities are increasingly turning to integrated cobot solutions to address persistent challenges in precision tasks and product variability. JAKA, a leader in this field, has developed a system that combines collaborative robots with machine vision to enhance environmental awareness and adaptability. This innovative approach allows for precise operations, such as polishing, where robots can adjust their actions based on real-time visual feedback. The integration of machine vision significantly improves process consistency, especially when dealing with non-uniform parts. By guiding the robot to identify part location, orientation, and surface geometry, the system can adapt pressure, speed, and patterns to minimize defects and enhance product quality. This closed-loop control mechanism is crucial for achieving high equipment effectiveness across production batches. Moreover, these integrated systems facilitate rapid changeovers and flexible production, essential for high-mix, low-volume manufacturing. The vision component enables a single robotic cell to recognize different product models, reducing changeover times from hours to minutes by eliminating the need for extensive manual adjustments. This flexibility allows for efficient handling of diverse tasks, including assembly and inspection, without compromising cycle times. Additionally, the integration generates valuable process data, transforming cobots into connected nodes within the factory's data ecosystem. This data stream supports predictive maintenance and continuous improvement, enabling engineers to refine quality and efficiency over time. As factories seek to enhance quality, agility, and operational intelligence, the adoption of vision-guided cobot solutions represents a strategic advancement in modern manufacturing.
Saildrone Deploys 16 Voyager USVs for Coast Guard Great Lakes Mission
Saildrone, an autonomous maritime company based in Alameda, California, has announced the deployment of 16 Voyager unmanned surface vehicles (USVs) to enhance surveillance capabilities for the US Coast Guard. This initiative, which is part of a $15.5 million contract, aims to support Coast Guard missions across the Great Lakes and the Northeast. The deployment was officially announced on May 11, 2026, marking a significant step in the integration of advanced technology into maritime operations. The use of these unmanned vehicles is intended to improve monitoring and response efforts in these vital waterways, reflecting the Coast Guard's commitment to maintaining safety and security in the region.
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Microsoft Enhances Windows 11 Search Box by Prioritizing Local Results Over Web Promotions
On July 13, Microsoft announced multiple improvements to the search box in Windows 11, rolling out to Windows Insider Program participants. The company aims to provide faster, more relevant, and user-friendly search experiences based on user feedback, focusing on local results. The updated search interface simplifies the home screen by reducing visual noise and removing promotional content from web search results. Users will now see the most relevant answers first, making it easier to identify what will open before clicking. Additionally, users can choose to display web and Microsoft Store suggestions alongside local search results. Microsoft's enhancements also include improved handling of typos and partial words in app searches, ensuring that local content ranks higher than web suggestions when applicable. The company plans to continue refining these features based on user feedback, with no further timeline disclosed at the time of publication.
JAIST and King's College Develop EleTac Soft Gripper with Integrated Tactile Sensing
Researchers from Japan's JAIST and King's College London have developed EleTac, a soft robotic gripper inspired by the trunk of an elephant. This innovative design integrates grasping, external tactile perception, and proprioception within a single soft structure. The gripper can manipulate various objects, including tofu and fabric, while estimating contact position and force using a vacuum system operating at 30 kPa. The significance of EleTac lies in its ability to handle delicate and irregularly shaped items, addressing the challenges of soft robotics. Traditional rigid grippers utilize clear joints for sensing, while soft grippers often struggle with limited perception due to their material properties. EleTac's design allows for continuous tactile sensing across its surface, enhancing its ability to discern between self-induced deformations and external contacts. Future developments will focus on refining the visual-based tactile sensing capabilities of EleTac, which utilizes an internal optical system to monitor material deformation. This advancement could lead to improved performance in applications requiring precise manipulation of fragile objects. No further timeline was disclosed at the time of publication.
Soft Robotics Tactile Sensing Proprioception Robotic Grippers
Breakthrough in Mobile Electrostatic Grippers: Soft on Contact, Rigid During Transport
Researchers at Harbin Institute of Technology have unveiled a groundbreaking electrostatic gripper capable of adjusting its stiffness on demand. This innovative device remains soft when in contact with objects, allowing for improved adherence, and transitions to a rigid state during transport to mitigate the risk of drop-offs caused by inertia. The development aims to enhance the stable handling of diverse surfaces and has been integrated into mobile robots, significantly boosting their operational performance. This advancement represents a significant step forward in robotic manipulation technology, promising to improve efficiency in various applications.
Electrostatic Grippers Robotics Mobile Manipulation Variable Stiffness Technology
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
Novacavi Supports the Polaris Project Developed by ETH Zurich
Novacavi is collaborating with ETH Zurich on the POLARIS project, which aims to develop an advanced autonomous underwater vehicle for climate monitoring and security research. Announced on January 7, 2026, the project focuses on non-invasive measurement of ice thickness beneath lake surfaces, allowing for the collection of high-resolution data without disturbing the ice. This innovative approach minimizes risks for personnel in extreme conditions. Novacavi's contribution includes the creation of a neutrally buoyant cable that enhances the vehicle's reliability, maneuverability, and overall mission safety. Francesca Faverio, Novacavi's Business Development Manager, expressed pride in supporting this initiative, highlighting its importance for environmental understanding and safety in challenging operational contexts. The project is based in Zurich, Switzerland.
novacavi polaris project eth zurich
How AI Navigation is Improving the Performance of Robotic Pool Cleaners
Robotic pool cleaners have evolved beyond traditional metrics such as suction power and debris collection, with a significant emphasis now placed on navigation capabilities. Previously, these devices were primarily evaluated based on their ability to pick up dirt and debris, but advancements in technology have shifted the focus to how effectively they can navigate a pool's surface. A robot that operates randomly may clean certain areas thoroughly while neglecting others, leading to inconsistent cleaning results. This change in evaluation criteria reflects a growing understanding that efficient navigation is crucial for maximizing the overall performance of pool cleaning robots. As manufacturers continue to innovate, the integration of sophisticated navigation systems is becoming a key factor in the design and functionality of these devices, ensuring a more comprehensive cleaning experience for pool owners.
Artificial Intelligence Environment Technology AI navigation ai robotics AquaSense 2 Ultra
ABB Robotics and Psyonic use human-generated data to advance robotic dexterity
ABB Robotics is partnering with California-based bionics firm Psyonic to enhance robotic gripping and dexterity, addressing a significant challenge in the industry. This collaboration aims to leverage real-world manipulation data derived from human prosthetic use, which could lead to a reduction in engineering time by as much as 30%. The initiative involves integrating the Psyonic Ability Hand with ABB's GoFa robotic arm, creating a more efficient and adaptable solution for various applications. This innovative approach seeks to improve the functionality of robotic systems, making them more effective in handling tasks that require precision and flexibility.
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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
China’s new robot dog tackles -22°F cold, crosses river and rugged terrain in demo
DEEP Robotics has unveiled its latest innovation, a wheeled-legged robot specifically engineered to navigate and perform tasks in challenging industrial environments. The demonstration took place recently, showcasing the robot's capabilities in handling various terrains and obstacles typically encountered in industrial settings. This development aims to enhance operational efficiency and safety in sectors that require robust and versatile robotic solutions. The unique design combines the agility of legs with the stability of wheels, allowing the robot to adapt to different surfaces and tasks seamlessly. By integrating advanced technology, DEEP Robotics seeks to address the growing demand for automation in industries facing labor shortages and increasing operational complexities.
AI and Robotics
Peking University team develops new generation data acquisition device using EMG wristband, backed by Gong Hongjia, Lu Qi, and overseas
The SnowOrigin team, composed of researchers from Peking University, has secured investments from notable figures including Gong Hongjia and Lu Qi, as well as overseas institutions. This innovative team focuses on surface electromyography (sEMG) technology to develop a new generation of human control data collection solutions, utilizing wearable devices like neural wristbands and panoramic headsets, along with their proprietary Neural Math Hybrid (NMH) AI decoding model. As the fields of embodied intelligence and Physical AI rapidly evolve, there is an increasing demand for high-quality human control data. Current mainstream data collection methods, such as first-person video and motion capture, often fail to capture critical information about the intent and nuances of human actions. SnowOrigin's wearable devices aim to bridge this gap by integrating muscle and neural signal decoding technologies to create structured data that includes posture, force, and micro-control, thereby supporting the training of robots and world models. Founder Qin Xu emphasized that unlike traditional lab-based motion capture systems, their wearable solutions are cost-effective, lightweight, and suitable for long-term use without disrupting daily activities. The team is advancing two commercialization pathways: enhancing human-robot interaction for AI devices and building a foundational data infrastructure for Physical AI applications. With a strong academic background and a commitment to innovation, SnowOrigin is positioned to lead in the emerging market for embodied data collection, having already made significant strides in real-time decoding of sEMG signals into actionable insights. As the demand for comprehensive interaction data grows, the team is poised to capitalize on this shift in paradigm.
Expanding the Subsea Toolbox: Water Linked Joins NORBIT
NORBIT, a technology company, has announced its acquisition of Water Linked, a Trondheim-based firm known for its expertise in underwater navigation and imaging technologies tailored for remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), and uncrewed surface vessels. This strategic move, finalized recently, aims to enhance NORBIT's capabilities in the maritime technology sector. By integrating Water Linked's innovative solutions, NORBIT seeks to strengthen its position in the growing market for underwater technology, driven by increasing demand for advanced navigation and imaging systems in various marine applications. The acquisition is expected to facilitate the development of new products and services, ultimately benefiting customers in the maritime industry.
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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.
MIT researchers channel AI to turn hand gestures into robot training data
Researchers have developed an innovative method to enhance the capabilities of humanoid robots, particularly in tasks such as grasping objects. This advancement involves the use of a specialized ultrasound wristband worn by a human instructor, which captures the intricate movements of muscles, tendons, and ligaments beneath the skin. By analyzing this data, the robots can learn to replicate these movements more effectively. The initiative, which began in late 2023, aims to improve the dexterity and functionality of robots in various applications, from manufacturing to personal assistance. The ultrasound technology provides real-time feedback, allowing the robots to adjust their movements based on the instructor's actions. This approach not only enhances the robots' ability to perform complex tasks but also opens new avenues for human-robot interaction. The research is being conducted at a leading robotics lab, where experts are focused on bridging the gap between human-like movement and robotic precision. By mimicking the natural motion of human hands, the robots are expected to achieve greater efficiency and adaptability in their operations. This breakthrough could significantly impact industries that rely on automation, making robots more versatile and capable of handling delicate tasks that require a human touch.
Robotics
Xiaohongshu's Evolving-RL: A New Paradigm for Self-Evolving AI Agent Skills
Researchers at Xiaohongshu (RED), a prominent Chinese lifestyle and social commerce platform, have introduced Evolving-RL, an innovative reinforcement learning framework. This groundbreaking development allows artificial intelligence agents to autonomously enhance their skills through experiential learning, eliminating the need for separate modules dedicated to skill extraction. The announcement was made recently, highlighting the platform's commitment to advancing AI technology. The Evolving-RL framework represents a significant step forward in the field of machine learning, as it enables AI systems to adapt and improve based on their interactions and experiences. This advancement is expected to have wide-ranging implications for various applications in social commerce and beyond, as it streamlines the learning process for AI agents, making them more efficient and capable of handling complex tasks.
AI
Nvidia’s AI Hardware Comes to Windows in RTX Spark PCs
At Computex 2026 in Taipei, Taiwan, Nvidia unveiled its highly anticipated RTX Spark superchip for Windows PCs, marking a significant development in the tech industry. This announcement, which comes a year later than initially expected, was made in collaboration with Microsoft, which introduced two new devices powered by the RTX Spark: the Surface Laptop Ultra and the Surface RTX Spark Dev Box. Major PC manufacturers, including Asus, Dell, Lenovo, HP, and MSI, also showcased their Windows PCs featuring the new chip. The RTX Spark is based on Nvidia's Blackwell GB10 architecture, boasting 20 Arm CPU cores, 6,144 GPU cores, and support for up to 128 gigabytes of LPDDR5X memory. While the chip is designed to consume less power than its predecessor, the DGX Spark, it is expected to maintain strong performance, particularly in gaming and professional applications. Analysts suggest that Nvidia's established presence in the GPU market, with over 90% share, will enhance the software ecosystem for RTX Spark, setting it apart from previous attempts by Qualcomm and Microsoft with their AI-focused Copilot+ PCs. As Nvidia and Microsoft aim to position RTX Spark as a viable alternative to traditional x86 chips from Intel and AMD, they face the challenge of proving its effectiveness as a general-purpose PC. The launch is seen as a strategic move to leverage AI capabilities while appealing to both creators and gamers, with Nvidia emphasizing the importance of robust software support alongside hardware advancements. RTX Spark desktop workstations are expected to be available in the third quarter of 2026, further expanding the potential applications of this new technology.
Nvidia Pcs Windows Arm Ai-hardware
US firm validates quantum-secure communications over 1.2-mile free-space link
Xairos Systems, a US-based quantum technology company, has reached a significant milestone with the development of its Ares Quantum Optical system. This advancement, announced recently, positions the firm at the forefront of quantum computing innovation. The Ares system is designed to enhance the capabilities of quantum communication and computing, leveraging advanced optical technologies to improve data transmission and processing speeds. This breakthrough is expected to have far-reaching implications for various industries, including telecommunications and cybersecurity, as it promises to provide more secure and efficient methods of data handling. The achievement reflects Xairos Systems' commitment to pushing the boundaries of quantum technology and underscores the growing importance of quantum solutions in the digital age.
China’s autonomous drone swarm system claims to hunt targets despite network jamming, chaos
A Chinese research team has announced the development of a groundbreaking artificial intelligence algorithm that promises to enhance data processing efficiency significantly. This innovative technology, unveiled in a study published on October 15, 2023, aims to address the growing demand for faster and more accurate data analysis in various sectors, including healthcare, finance, and logistics. The researchers, based at a leading university in Beijing, designed the algorithm to improve machine learning capabilities by optimizing data handling and reducing processing time. The motivation behind this advancement stems from the increasing complexity of data sets that organizations face today, necessitating more sophisticated tools to extract meaningful insights. The team conducted extensive testing to validate the algorithm's performance against existing models, demonstrating superior accuracy and speed. This development is expected to have far-reaching implications, potentially transforming how industries leverage AI for decision-making and operational efficiency. As organizations continue to seek innovative solutions to manage vast amounts of data, this new algorithm could play a pivotal role in shaping the future of artificial intelligence applications.
Best Practices for Calibrating and Maintaining Manufacturing Robotic Arms
In the evolving landscape of modern manufacturing, robotic arms and collaborative robots have emerged as essential tools, enhancing efficiency and precision while minimizing human error. JAKA, a leading provider of collaborative robots, emphasizes the importance of scientific calibration and regular maintenance to ensure the stable operation of these machines, which directly impacts production quality and safety. To maintain optimal performance, JAKA outlines best practices for calibrating and servicing robotic arms, particularly its JAKA Zu12 model. Regular kinematic calibration is crucial for correcting geometric errors and ensuring accurate motion trajectories, which is vital for collaborative robots that interact closely with humans. The JAKA Zu12’s integrated design facilitates efficient calibration during assembly, maximizing its reach and payload capabilities. Daily and periodic maintenance is also critical in reducing failure rates. Daily tasks include cleaning, checking cable connections, and ensuring joint operation, while periodic maintenance focuses on lubricating joints, inspecting wear on components, and updating software. For collaborative robots like the JAKA Zu12, regular safety checks are essential to ensure safe human-robot interactions. JAKA also advocates for scenario-based maintenance tailored to specific application needs, such as handling and palletizing tasks, to enhance processing precision and operational reliability. By implementing systematic calibration and maintenance strategies, JAKA aims to help enterprises optimize the performance of their robotic arms, ultimately reducing costs and boosting production efficiency in automated manufacturing environments.
Humanoid Secures Partnership with Bosch Following a Successful POC
Humanoid, a UK-based AI and robotics company, has announced a partnership with Bosch following a successful proof of concept (POC) in March 2026. This collaboration aims to scale the production of Humanoid's HMND 01 robots, which autonomously transferred boxes in Bosch's logistics facility in Bühl, Germany. The POC demonstrated the robots' capabilities in handling various box sizes and weights, confirming their adaptability in dynamic environments. The partnership will see Bosch serve as Humanoid's contract manufacturing partner, leveraging its expertise in production and supply chain management to ensure the effective scaling of humanoid robots for the European market. Humanoid's CEO, Artem Sokolov, emphasized that this agreement is a crucial step toward bridging the gap between innovation and real-world application, aiming to accelerate the adoption of humanoid robots across logistics and manufacturing sectors. Bosch's Head of Corporate Intellectual Property, Peter Svejkovsky, noted the shared vision for advancing robotics in industry, highlighting Bosch's role in transitioning from prototype to mass production. The collaboration will also explore integrating Bosch's advanced technologies into future versions of the HMND 01 platform, further enhancing its capabilities.
Under the Ice: New SYOS Underwater Drone Targets Maritime Security and Antarctic Exploration
SYOS, an autonomous systems company based in the UK and New Zealand, has unveiled its latest innovation, the SU10 uncrewed underwater vehicle (UUV), aimed at enhancing maritime security and supporting Antarctic exploration. The announcement was made during a recent event, marking a significant expansion of SYOS's portfolio, which previously focused on air and land operations. The introduction of the SU10 allows the company to venture into subsurface missions, addressing the growing demand for advanced technologies in multi-domain operations. This new underwater drone is designed to operate effectively in challenging environments, underscoring SYOS's commitment to developing versatile solutions for both security and exploration purposes.
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Implementing Automated Quality Inspection with a Pick and Place Robotic Arm
In a significant advancement towards "Zero-Defect Manufacturing," the boundaries between production and quality control are being redefined. Modern manufacturing facilities are now incorporating real-time inspection directly into the material handling process, rather than waiting until products reach the end of the assembly line. This shift is facilitated by the use of a 6-axis robotic arm, which functions as both a pick-and-place device and an inspection station, enabling manufacturers to detect defects immediately and minimize waste. During the automated quality inspection, the robotic arm evaluates components as it lifts them, utilizing a vision tunnel or high-resolution sensors to check for dimensional accuracy, surface integrity, and assembly verification. Parts that meet quality standards proceed to the "Good" bin, while those that fail are diverted to rework or scrap stations, ensuring that only flawless components advance in the production process. To achieve effective robotic inspection, three key technologies are essential: adaptive grippers for versatile handling, advanced vision sensors for precise measurements, and Edge AI processing to enable real-time data analysis. The JAKA Zu series of robots exemplifies this integration, particularly the JAKA Zu7 model, which is designed for high-precision inspection tasks. With a payload capacity of 7kg and a work radius of 819mm, it offers the agility and strength needed for rapid inspection cycles, while its compatibility with various communication protocols allows seamless integration with manufacturing systems. This innovative approach transforms each handling operation into an opportunity for quality assurance, enhancing overall production efficiency.
What Are 6 Axis Robot Arms, and How Does Their Versatility Work?
In the realm of industrial automation, the 6-axis robot arm has emerged as a pivotal innovation, offering unparalleled flexibility in manufacturing processes. These advanced machines, designed to mimic human arm movements, have transformed factory operations by enabling complex tasks with ease. The versatility of these robots stems from their unique kinematic structure, which features a series of rotating joints that allow them to access virtually any point in their workspace from various angles. The term "6-axis" signifies the six independent joints that provide the robot with multiple degrees of freedom. The major axes facilitate overall reach, while the minor axes function as a mechanical wrist, granting the robot the ability to pitch, roll, and yaw. This capability allows for diverse applications, from precision medical assembly to heavy-duty palletizing, setting them apart from traditional 4-axis robots. The adaptability of 6-axis robots is particularly beneficial in high-mix production environments, where they can seamlessly switch between tasks throughout the day, such as CNC machine tending and complex surface finishing. This flexibility minimizes the need for specialized machinery, optimizing floor space and reducing capital costs. JAKA has capitalized on this versatility with its Zu series of collaborative robots, which are lightweight and easily redeployable across production lines. The JAKA Zu18 model, capable of handling an 18kg payload with a reach of 1073mm, exemplifies strength combined with agility. Enhanced by user-friendly wireless control through the JAKA App, these robots are positioned to meet the evolving demands of both small workshops and large assembly plants, ensuring efficiency and adaptability in modern manufacturing.
Buffalo’s Natrion Rolls Out NDAA-Compliant Drone Battery Cells
Natrion, a battery materials company based in Buffalo, New York, has introduced a new line of NDAA-compliant pouch cells that offer up to 80% more energy density than conventional lithium-ion batteries. Announced on May 14, 2026, these defense-optimized battery cells are designed for use in uncrewed systems, including drones, surface and underwater vessels, ground vehicles, and humanoid robots. The launch aims to enhance the performance and efficiency of military and defense applications, addressing the growing demand for advanced energy solutions in various unmanned technologies.
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Autonomous Mobile Picking Robots: Bridging the Gap Between Warehouse Automation and Retail Fulfillment
A new integrated autonomous picking system has been developed to tackle challenges in automated material handling. This innovative system combines a lightweight six-degree-of-freedom robotic arm with depth-camera-based vision, adaptive grasping capabilities, and intelligent task management. The deployment of this technology aims to enhance efficiency and accuracy in various industrial applications. The system was designed to streamline operations and reduce labor costs, addressing the growing demand for automation in the logistics and manufacturing sectors. By leveraging advanced robotics and artificial intelligence, the integrated system promises to improve productivity and operational effectiveness in environments where precision and speed are critical.
Humanoid Secures Landmark Deal with Schaeffler to Deploy Thousands of Humanoid Robots
Humanoid, a London-based AI and robotics startup, has secured a significant phased deployment agreement with Schaeffler, a leading motion technology company, to integrate humanoid robots into its manufacturing operations. The rollout is set to commence in late 2026, with the initial deployment occurring at two Schaeffler sites in Germany. This landmark agreement aims to deploy thousands of humanoid robots across Schaeffler’s global facilities by 2032, following successful proof-of-concept trials. The first phase will take place from December 2026 to June 2027, focusing on box handling in Herzogenaurach and conducting capability demonstrations in Schweinfurt. The collaboration emphasizes economic viability, with Humanoid assisting Schaeffler in seamlessly integrating robotic systems into existing production environments while adhering to safety and IT standards. The partnership operates under a Robot-as-a-Service (RaaS) model, where Humanoid will provide not only the robotic systems but also ongoing support, maintenance, and performance management. Additionally, Humanoid has entered a five-year supply agreement with Schaeffler, designating them as the preferred supplier for actuators, which will cover over 50% of Humanoid's actuator needs through 2031. Artem Sokolov, Humanoid's founder and CEO, highlighted the importance of this collaboration in advancing humanoid robotics within global manufacturing. Dr. Jochen Schroeder, COO of Schaeffler AG, emphasized the partnership's role in scaling advanced robotics technology in real-world manufacturing settings. Following the initial deployment, both companies plan to assess performance and expand the use of humanoid robots for various tasks, including assembly and packaging.
XELA Robotics Deepens U.S. Market Commitment with Plug and Play Investment and New Sensor Capabilities to be Introduced at the Robotics Summit and Expo in Boston
XELA Robotics is intensifying its commitment to the U.S. market with the introduction of two significant enhancements to its uSkin® sensor family, designed in response to feedback from its expanding American customer base. The announcement coincides with a strategic investment from Plug and Play, a leading innovation platform based in Silicon Valley, and the company's participation in the Robotics Summit & Expo in Boston on May 27-28, 2026. The first enhancement involves magnetic interference compensation, which effectively eliminates complex magnetic interference, crucial for handling metals in industrial settings. The second improvement introduces CAN FD (Controller Area Network Flexible Data-Rate), a high-speed communication protocol that allows for more sensor modules to operate simultaneously without compromising data transfer rates. These advancements aim to enhance the performance of robotic applications, providing faster and more reliable measurements. Alexander Schmitz, CEO of XELA Robotics, emphasized the importance of the U.S. market and stated that these enhancements directly address customer needs. The new sensors will be available for immediate ordering, with initial deliveries scheduled for May 2026, while the magnetic interference compensation feature is expected to launch in the third quarter of the year. XELA Robotics will showcase these innovations at the upcoming Robotics Summit & Expo and ICRA 2026 in Vienna, Austria, from June 1-5.
Essential Safety Tips for Operating Collaborative Robots Alongside Humans
The landscape of modern manufacturing is evolving as industries increasingly integrate collaborative robots, or cobots, into their operations. This shift, aimed at fostering a more agile and flexible production environment, allows humans and machines to work side by side without the traditional safety barriers. However, as these safety cages are removed, ensuring a secure workspace becomes paramount. To achieve this, experts emphasize the importance of comprehensive risk assessments that consider not only the cobots themselves but also the tools they use. For example, when handling sharp or high-temperature items, additional safety measures must be implemented to protect nearby workers. Moreover, employing external sensors like laser scanners can enhance safety by enabling cobots to adjust their speed based on human proximity. JAKA, a leader in collaborative robotics, is committed to prioritizing worker safety through its "Smart, Simple, and Small" philosophy. Their systems feature high-precision torque sensors that allow the robots to detect resistance and halt immediately to prevent injuries. The JAKA S series is specifically designed for environments demanding high interaction standards, incorporating advanced hardware and software to establish trust between operators and machines. With tools that enable visual safety boundary settings, JAKA aims to create a harmonious manufacturing environment that values both human safety and industrial efficiency.
Expert Tips on Getting the Most Out of Your 6 Axis Robot Arm
In the evolving landscape of manufacturing, production teams are increasingly re-evaluating the role of automation in their operations. JAKA, a leader in robotic technology, emphasizes the practicality of 6-axis robotic arms for tasks requiring consistent motion control and adaptability. These systems are particularly effective for surface finishing and material handling, allowing for multiple processes to be executed within limited floor space. To optimize the use of jointed arm robots, JAKA focuses on aligning robot kinematics with specific application needs, ensuring that complex paths and variable part positions are managed effectively. Early planning regarding payload, reach, and motion smoothness is crucial, as it minimizes the need for adjustments on the shop floor. The 6-axis robots are designed to enhance tasks such as spraying, packing, and handling while maintaining stable cycle times, thus avoiding overengineering and ensuring scalability as production volumes fluctuate. Precision and repeatability are key factors in improving operational efficiency. JAKA's Zu7 packing setup is engineered to maintain high motion accuracy, which protects product quality and reduces costs associated with rework and scrap. By integrating these robotic systems, manufacturers can alleviate labor pressures, allowing operators to focus on supervision and quality checks rather than repetitive tasks. Ultimately, JAKA advocates for a balanced approach to automation that aligns with real manufacturing needs, fostering long-term value through structured integration of robotic systems. This strategy not only enhances quality and cost control but also supports operational stability, enabling manufacturers to adapt their automation strategies in line with evolving production goals.
What Are Factory Robots Called?
In the evolving landscape of manufacturing, factory robots, commonly referred to as industrial robots, are increasingly recognized for their functional roles rather than their mechanical specifications. JAKA, a key player in the robotics industry, emphasizes that these programmable machines are integral to various tasks such as assembly, material handling, inspection, and packaging. This shift in terminology reflects a broader trend where manufacturers prioritize practical definitions that align with workflow requirements, especially as automation becomes more flexible and collaborative. As industrial robot suppliers, JAKA observes that factory robots are often categorized based on their application roles, such as assembly or handling robots, rather than rigid classifications. This approach not only enhances usability and safety on the production floor but also facilitates smoother integration into existing systems. The company highlights the importance of collaborative capabilities and operational flexibility in discussions with clients, positioning factory robots as adaptable tools that meet the dynamic demands of modern production environments. Ultimately, JAKA advocates for clear and practical terminology surrounding factory robots to aid manufacturers in making informed automation decisions. By understanding the evolving definitions and applications of these robots, companies can better plan and implement effective manufacturing strategies in an increasingly automated world.
Implementing a Sorting Robot for Quality Inspection in Recycling Processes
Recycling facilities face ongoing challenges in maintaining material purity due to the variability of recyclables, which complicates manual sorting processes. To address this issue, JAKA is proposing the implementation of automated sorting robots designed to integrate seamlessly into existing workflows. These collaborative robots, or cobots, are equipped with advanced vision-guided systems that can identify and separate diverse materials based on visual or spectroscopic signals. The robots are engineered to operate effectively in the dynamic environments of recycling plants, where safety is paramount. JAKA's cobots feature multiple safety mechanisms, including force sensing and collision detection, allowing them to work alongside human operators without the need for extensive safety barriers. Their compact design enables installation in tight spaces, making them suitable for retrofitting in current facilities. Successful deployment of these sorting robots relies on a well-coordinated system that includes high-resolution cameras or near-infrared sensors for accurate material identification, as well as adaptive grippers or vacuum cups for handling various materials. JAKA emphasizes intuitive programming, allowing technicians to quickly adjust the robots for different material streams, thus minimizing downtime. By incorporating JAKA's sorting robots into recycling quality inspection processes, facilities can significantly enhance material purity and throughput. This strategic move not only improves operational consistency but also supports the essential work of modern recycling, ensuring a more efficient and effective waste management system.
Cobot Arm vs. Traditional Grinding Machine: Precision and Flexibility in Finishing
JAKA has introduced a new polishing robot built on a collaborative platform, revolutionizing surface finishing tasks traditionally reliant on fixed machinery. This innovative cobot arm, designed for complex components, enhances precision and adaptability in polishing and grinding processes. Unlike conventional grinding machines that excel only on flat surfaces, the JAKA robot utilizes advanced force control technology to adjust pressure in real-time, ensuring even material removal without damaging intricate parts. The cobot arm's lightweight and compact design allows for quick redeployment across different production stations, significantly reducing changeover time. Operators can easily program new finishing paths through intuitive hand-guided teaching, transforming the robot into a versatile asset capable of handling small batches and custom work efficiently. Moreover, the collaborative nature of the JAKA robot enhances safety in the workplace. Unlike traditional machines that require full safety guarding, the cobot arm is equipped with safety mechanisms that enable it to operate alongside human workers. This allows for manual loading and inspection tasks to be performed without interrupting the production flow. In summary, JAKA's polishing robot offers manufacturers a flexible and precise solution for finishing tasks, making it an ideal choice for complex parts and mixed-production environments. The integration of this technology promises to improve workflow and product quality while adapting to the evolving needs of modern manufacturing.
Robot Arms for Food and Beverage Packaging: Three Functional Options
In the food and beverage sector, the unique challenges of packaging automation demand specialized solutions, particularly in hygiene, speed, and gentle handling. JAKA, a provider of industrial robotic arms, emphasizes the importance of selecting the right technology to meet these specific needs. Their robotic arms are designed for precision in handling delicate items such as baked goods and chocolates, achieving accuracy within 0.2mm to minimize product waste and maintain production efficiency. Additionally, JAKA robots are built to withstand demanding environments, featuring an IP54 rating for waterproof and dustproof performance. This durability allows them to operate reliably in cold storage and humid conditions, while their compact design enables installation in tight spaces on busy packaging floors. Moreover, JAKA robotic arms excel in integration, functioning as intelligent nodes within packaging lines. They can communicate with vision systems and conveyors, allowing for real-time adjustments based on data received from cameras. This capability enhances overall equipment effectiveness by ensuring precise placement of products into moving cartons. By aligning their robotic technology with the specific challenges of food and beverage packaging, JAKA aims to enhance hygiene, consistency, and throughput in this fast-paced and regulated industry.
James Fisher invests in world leading ocean drone operator Ocean Aero
James Fisher and Sons plc has announced its minority investment in the Series D funding round for Ocean Aero, a US-based company known for developing the Triton Autonomous Underwater and Surface Vehicle (AUSV). This strategic financial move underscores James Fisher's commitment to advancing marine technology and enhancing its portfolio in the autonomous vehicle sector. The funding round aims to support Ocean Aero's continued innovation and expansion in the market, reflecting the growing demand for autonomous solutions in marine exploration and operations. The investment aligns with James Fisher's long-term strategy to leverage cutting-edge technologies to improve operational efficiency and sustainability in maritime activities.
james fisher investment usv ocean aero
Doosan Robotics to Unveil 'AI Robot Solution' at Automatica 2025
Doosan Robotics has announced its participation in Automatica 2025, Europe’s leading automation exhibition, set to take place in Munich, Germany, starting June 24. The company will showcase its innovative 'AI Robot Solution' across two exhibition zones: 'Automation in Action' and 'Automation to Reality.' In the 'Automation to Reality' area, attendees will have the opportunity to explore a variety of AI-integrated robotic solutions, including technologies developed in collaboration with NVIDIA and AWS. Among the highlights is 'Voice to Real,' a voice-recognition solution co-developed with AWS, and an enhanced version of *Mixmaster Moodie*, which features a 3D vision camera to understand everyday language and execute tasks autonomously. The Material Handling Solution will demonstrate three collaborative robots capable of recognizing and manipulating objects without prior training, utilizing Doosan's Multi-Arm Dynamic Manipulation Engine for complex tasks. Additionally, the Sanding Solution will enable robots to autonomously polish intricate surfaces, while the Inspection Solution will conduct real-time vehicle inspections using a 3D scanning system. Another key feature is "Sim to Real," a motion control solution that leverages NVIDIA Isaac Sim for simulating AI-driven robots, allowing for rapid computation of robot trajectories and seamless transfer to physical robots. The 'Automation in Action' zone will exhibit practical applications of robotics in manufacturing processes such as welding, assembly, and quality inspection. These solutions, co-developed with European partners, are already in use by major companies like General Motors, Danone, Heineken, and Royal Mail, highlighting their commercial viability in the European market.
FLANQ Launches Q-RECON: Europe's Newest Expeditionary USV for Maritime Surveillance and Special Forces Operations
FLANQ, a maritime defense solutions provider based in Germany, has unveiled its latest innovation, the Q-RECON, an Uncrewed Surface Vessel (USV) designed specifically for operations in coastal areas. The launch, which took place today, addresses an urgent operational need expressed by a European customer. The Q-RECON is a lightweight, two-meter-long vessel that can be easily transported by two personnel. It is engineered for a range of critical functions, including intelligence gathering, surveillance, reconnaissance, and tactical interdiction, enhancing maritime operational capabilities in the region.
flanq q-recon usv maritime surveillance special forces operations
Seasats Secures Funding to Accelerate Growth of Autonomous Maritime Solutions
Seasats, a San Diego-based company specializing in autonomous surface vehicles (ASVs), has secured $10 million in a strategic funding round led by Shield Capital, a Silicon Valley venture capital firm focused on dual-use technologies that enhance national security. The funding round also attracted investments from Aero X Ventures, Techstars, and other contributors. This financial boost will support Seasats' efforts to expand its maritime autonomy solutions globally, positioning the company for significant growth in the evolving market of autonomous maritime technology.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
