Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Méca-Précis utilizes robotic measurement cell to eliminate inspection bottlenecks
French precision engineering firm Méca-Précis has implemented an automated part inspection system to enhance efficiency in its operations. The new robotic measurement cell integrates a coordinate measuring machine (CMM) from Mitutoyo with automation technology developed by Engineering Data. This advancement comes in response to growing production volumes, which had turned traditional inspection processes into a bottleneck, particularly for clients in the aerospace and space sectors that demand high precision and reliability. The automation aims to streamline the inspection workflow, ensuring that quality control keeps pace with increased manufacturing demands.
Engineering Robotics advanced manufacturing aerospace components aerospace manufacturing automated inspection
Japan's Leaders in Robotics and Manufacturing Leverage NVIDIA Cosmos for Physical AI Advancements
NVIDIA has announced that Japan's leaders in physical AI are utilizing the NVIDIA Cosmos™, Isaac™, Metropolis, and Jetson™ platforms to enhance the deployment of intelligent machines across various sectors including manufacturing and robotics. The introduction of Cosmos 3 Edge aims to provide advanced capabilities for real-time reasoning and action prediction in robots, marking a significant step in integrating intelligence into physical systems. This initiative is crucial as Japan's established strengths in robotics and manufacturing position it to lead in the next wave of AI development. Jensen Huang, NVIDIA's CEO, emphasized the unique opportunity for Japan to reinvent modern manufacturing through intelligent technologies, combining its heritage in precision engineering with NVIDIA's advanced platforms. Looking ahead, NVIDIA is expanding the Cosmos Coalition to include Japan's physical AI leaders, enabling collaboration on open world models. This coalition will facilitate the testing and optimization of physical AI systems, potentially transforming operations across various industries such as logistics, healthcare, and construction. No further timeline was disclosed at the time of publication.
The Tier 1 Play: Schaeffler Commits to 1,000 Hexagon AEON Humanoids in Deep Component Deal
Schaeffler, a leader in motion technology, has entered into a strategic partnership with Hexagon Robotics to enhance robotics capabilities. This collaboration aims to deploy a minimum of 1,000 AEON humanoid robots, which will be powered by Schaeffler's high-precision actuators. The initiative marks a significant step in advancing automation and robotics technology, reflecting both companies' commitment to innovation in the industry. The deployment is expected to take place in the near future, although specific timelines have not been disclosed. This partnership is driven by the growing demand for advanced robotic solutions across various sectors, highlighting the importance of precision engineering in the development of humanoid robots.
aeon Europe Market Schaeffler hexagon
The Rise of Cobots in Manufacturing: Trends Shaping the Global Automation Market
The manufacturing industry is experiencing a transformative shift as automation technologies advance, with JAKA leading the way in the integration of collaborative robots, or cobots. These machines are designed to work alongside human operators, enhancing productivity while prioritizing safety. The adoption of cobots is expanding beyond niche applications to various sectors, including assembly, electronics, automotive, and precision engineering. JAKA's Zu series exemplifies how intelligent automation can optimize complex tasks like screwdriving, ensuring speed, accuracy, and reliability in production processes. A notable trend in modern manufacturing is the increasing use of 6-axis robot arm systems, which provide enhanced flexibility and adaptability. JAKA's robotic solutions can perform multiple functions such as assembly, material handling, and inspection, with the ability to adjust torque independently for different product requirements. This innovation has enabled clients to reduce manual labor and maintain consistent quality across production lines, particularly in high-mix, low-volume environments. The focus on efficiency and safety is driving the adoption of cobots, with JAKA integrating advanced control algorithms and sensors to create collaborative workspaces. The JAKA Zu series facilitates safe and reliable automated screwdriving, reducing repetitive strain injuries and improving production predictability. As the demand for intelligent automation grows, JAKA remains committed to providing flexible and precise solutions that meet the evolving needs of modern factories, positioning cobots as a vital component in the future of manufacturing.
Estun Robotics: “Invisible Craftsmen” for Cell Phone Glass Cover Manufacturing
As smartphone users engage with dramas, short videos, and AI virtual idols, many may not realize the intricate manufacturing processes that contribute to the devices they rely on. A recent report highlights the precision engineering involved in creating a curved glass screen, which measures less than one millimeter in thickness. This delicate component undergoes more than 20 meticulous production steps to ensure its quality and functionality. The advancements in manufacturing technology not only enhance user experience but also reflect the growing demand for high-performance mobile devices in today's digital landscape. As the industry continues to evolve, the importance of such precision manufacturing processes becomes increasingly evident, underscoring the complexity behind seemingly simple smartphone features.
ESTUN AUTOMATION ROBOTICS SERVO SYSTEMS
7 Key Engineering Hurdles in Building High Precision Gantry Systems for Automation
Multi-axis gantry platforms play a crucial role in enhancing automation across various industries, including semiconductor inspection, laser processing, and advanced metrology. Despite their significance, the challenges associated with achieving precision, reliability, and readiness for production are frequently overlooked. As industries increasingly rely on these platforms to improve efficiency and throughput, addressing these technical hurdles has become essential for advancing automation technologies. The ongoing development and refinement of these systems are vital for meeting the growing demands of high-tech manufacturing processes.
Itashi A1 Robot Sets Guinness World Record, Marking a Milestone for China's Embodied Intelligence
On March 12, 2026, the Itashi A1 robot set a Guinness World Record by assembling the most sub-millimeter wire harnesses in a single hour, marking a significant achievement in China's industrial automation sector. This record underscores the robot's exceptional precision and capability to execute intricate tasks effectively in practical applications. The accomplishment not only reflects advancements in robotics technology but also positions China at the forefront of innovation in manufacturing processes.
Industrial Automation Robotics Precision Engineering Embodied Intelligence
Shenzhen Company Stella-Robot Introduces Affordable Robotic Hands with High Performance
At the 2026 World Artificial Intelligence Conference, Shenzhen-based Stella-Robot unveiled its innovative robotic hands, the Pantheon Hand 20 and Gaia Hand 20. The Pantheon Hand 20, weighing only 290 grams, can grip up to 50 kilograms, thanks to its unique 'drive separation' technology that relocates the drive unit away from the hand itself. This breakthrough in design allows for a lightweight yet powerful robotic hand, making advanced robotics more accessible. The Gaia Hand 20 features a modular design with a quick-change joint system, enabling easy repairs without returning the entire unit. Priced at 16,999 yuan, the affordability of these products marks a significant shift in the robotics market, previously dominated by high-cost alternatives. Stella-Robot's products are already being utilized in top universities and research institutions, indicating their potential impact on the field of embodied intelligence. As the cost of robotic hands drops from the millions to tens of thousands, the company is poised to democratize advanced robotic capabilities for developers everywhere. No further timeline was disclosed at the time of publication.
Robotic Hands Modular Robotics AI Technology Automation Precision Engineering
What It Takes to Make Humanoid Robots Move Like Humans: The Engineering Behind Joints, Hands, and Precision Control
Recent advancements in humanoid robotics have highlighted a significant shift in design and manufacturing practices. Engineers and researchers are increasingly moving away from traditional discrete component assembly methods, opting instead for integrated joint modules. These innovative units combine motors, gearboxes, sensors, and drive electronics into compact systems, streamlining the production process and enhancing the functionality of humanoid robots. This transition is driven by the need for more efficient and versatile robotic systems capable of performing complex tasks in various environments. As this trend continues to evolve, it is expected to accelerate the development of more sophisticated humanoid robots, paving the way for broader applications in industries such as healthcare, manufacturing, and service sectors. The integration of these components not only simplifies assembly but also improves the overall performance and reliability of robotic systems, making them more adaptable to real-world challenges.
Qingyan Precision Secures Funding to Drive Physical AI Infrastructure Development
Qingyan Precision, a spin-off from Tsinghua University, has successfully secured hundreds of millions in its latest funding round to bolster its advancements in physical artificial intelligence. The company is dedicated to revolutionizing automotive testing by developing a comprehensive engineering system that gathers and analyzes real-world data. With more than 2,000 data collection nodes already in operation, Qingyan Precision is positioning itself as a significant contributor to the industrial AI sector. This funding will enable the firm to enhance data-driven decision-making processes within the manufacturing industry, further establishing its role in the evolving landscape of technology and engineering.
Physical AI Industrial Automation Data Infrastructure Engineering Systems
Why Precision Swiss Machining is Critical to the Future of Robotics and Automation
The industrial production landscape is undergoing a significant transformation due to the rapid advancements in robotics, factory automation, and intelligent manufacturing systems. This shift is characterized by an increasing reliance on highly precise mechanical systems that can operate continuously with minimal deviation. As automation technologies evolve and become more interconnected, modern manufacturing environments are integrating collaborative robots, automated assembly systems, and sensor-driven equipment. These innovations are not only enhancing efficiency but also improving the accuracy and reliability of production processes. The ongoing evolution in this sector reflects a broader trend towards smarter, more automated manufacturing practices that aim to meet the growing demands of global markets.
Automation Engineering Factories automated manufacturing automation hardware automation news
Automate 2026 Q&A with Precision Drive Systems (PDS)
A specialized engineering team is set to enhance robotics process outcomes by leveraging advanced techniques in vibration analysis and on-board spindle monitoring. This initiative, aimed at optimizing operational efficiency, will take place in various industrial settings where robotics are utilized. The team's sales engineers, equipped with extensive knowledge and strategic approaches, will provide tailored solutions to ensure maximum uptime for machinery. This proactive measure is driven by the need to improve productivity and reduce downtime in manufacturing processes. By implementing these innovative strategies, the engineering team seeks to address common challenges faced by industries reliant on robotics, ultimately fostering a more efficient and reliable operational environment.
Precision Ball Screw with Finished Shaft Ends Model SDA-VZ Lineup
THK, a leading manufacturer of mechanical components, has announced its ongoing commitment to innovation and global distribution. The company specializes in products such as Linear Motion systems, LM Guides, Ball Splines, Ball Screws, and electric actuators, catering to a diverse clientele worldwide. In addition to these offerings, THK also develops and distributes a range of mechatronics products, automobile parts, and seismic isolation systems. This strategic focus on advanced manufacturing and product diversity positions THK as a key player in the mechanical engineering sector, responding to the evolving needs of industries around the globe.
THK Linear Motion LM Guides Linear bearing Linear Guide Ball Splines
Connector Pin Processing: End-Face Finish and Burr Control
Recent investigations have revealed that high-precision connector pins are experiencing failures in the field, attributed to issues that standard diameter checks cannot detect. The problems primarily stem from the parting-off face, where burrs initially form and surface roughness values (Ra) can exceed specifications. These defects are exacerbated by inadequate deburring technology, leading to increased rates of product returns that often go unreported. The findings highlight the need for improved quality control measures and better manufacturing practices to prevent these failures and enhance product reliability.
Design Engineering aerospace connectors automation news automation technology burr control
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations Visit http://www.palladyneai.com for further information Palladyne AI’s SwarmOS™ platform to support satellite integration, marking a major expansion of its multi-domain autonomy and ISR capabilities across space, air, maritime, and land 07/07/26, 06:15 AM | Mobile Robots, Other Topics | Palladyne AI Corp. Palladyne AI Corp. (NASDAQ: PDYN and PDYNW) ("Palladyne AI"), a developer of artificial intelligence software for robotic platforms in the defense and commercial sectors, today announced that it has executed the previously announced contract awarded by the Air Force Research Laboratory (AFRL) to solve one of the most persistent challenges in modern defense operations—how to make different autonomous systems work together as one coordinated team. The "Hierarchical Adaptive Networked Game-Theoretic Integration of Multiple Echelons (HANGTIME)" contract will address this need. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data Today, drones, ships, and satellites often operate largely independently, limiting how quickly warfighters can see and respond to threats. HANGTIME will utilize Palladyne AI's patented SwarmOS™ software platform—the defense variant of the Palladyne™ Pilot embodied AI software—as the baseline technology to bridge that gap, connecting disparate systems so they can share intelligence, adapt to changing conditions, and act in sync across domains, including space, air, maritime, and land. By integrating satellites for the first time, this project also extends Palladyne AI's technology from the ground to orbit, enabling faster, more informed decision-making and coordinated mission execution, turning tactical commanders into strategic commanders by giving them more cross-domain intelligence, surveillance, and reconnaissance (ISR) capabilities than ever before. "Our collaboration with AFRL showcases what's next for autonomous operations," said Ben Wolff, President and CEO, Palladyne AI. "This isn't about replacing humans—it's about giving them sharper, faster insight. By connecting satellite, aerial, and ground systems using the patented SwarmOS embodied AI platform as a foundational technology, we're helping the warfighter make better decisions in real time and stay one step ahead on the battlefield." "The HANGTIME project is a breakthrough that unites high-altitude assets and situational unmanned systems into one coordinated sensor network—delivering a major advantage for the defense industry," said Dr. Denis Garagic, Chief Technology Officer, Palladyne AI. "For the first time, a single AI framework can coordinate assets across multiple domains, including satellites. That means these systems can now think and act together as a team, sharing what they see and learning as conditions change." "The HANGTIME effort represents a critical step in multi-domain autonomy for coordinated execution in challenging environments," said Caleb Williams, Program Manager, AFRL/RIEA. For more information on Palladyne AI and its patented collaborative autonomy software, including SwarmOS, please visit www.palladyneai.com. For more information about AFRL, please visit www.afrl.af.mil. About Palladyne AI Palladyne AI is a U.S.-based technology company developing patented embodied artificial intelligence, collaborative autonomy solutions, advanced avionics, autonomous systems, advanced UAV engineering services, and precision-manufactured components for defense and industrial markets. Palladyne AI delivers secure, American-developed and operated platforms designed to meet the stringent requirements of U.S. government and public-sector customers, including data sovereignty, security, and compliance. Palladyne AI's embodied AI is designed to operate in complex, contested, and high-risk environments, enabling distributed tasking, human-on-the-loop decision-making, degraded-communications resilience, and multi-domain coordination. Its platform-agnostic autonomy stack combines real-time sensor fusion, adaptive AI models, and edge-native orchestration—without vendor lock-in—to support autonomous and collaborative systems across air, ground, maritime, and industrial domains w
Small-AI Models Gain Traction Around the World
One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup’s AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year.The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item’s molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile—or reports that it’s phony.Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge’s native Nigeria. But that morning in South Africa, it didn’t work. “I was shocked,” Alonge says.The spectrometer connected to the AI model—but the data center was 14,000 kilometers away and bandwidth was limited. “Our server was in the United States, and just to get the result of a single scan was taking me over 5 minutes.”So Alonge immediately asked his engineers to shrink the AI model down to a smaller, low-power, unconnected version that could run entirely on his Android phone. They produced it 2 hours later, and that saved the demo.More importantly, the work birthed a new version of his device, which can authenticate a pill in places without broadband, computers, or even reliable electricity. It also turned Alonge into an advocate for this kind of “small AI.”Small AI for Global Health Care AccessSmall AI is a far cry from wealthy nations’ colossal large language models (LLMs), hyperscale data centers, multibillion-dollar investments, and debates about AI consciousness. But for millions of people around the world, the only AI that matters, and often the only kind available, is small. (According to a World Bank Report issued in November, only 0.7 percent of internet users in the world’s poorest countries have used ChatGPT, compared to a quarter of all internet users in the most developed nations.)“Most people are discussing AI from the LLM/generative side. But that needs a lot of computing power, electricity, massive data, and skilled people to manage it,” Ajay Banga, president of the World Bank, said last January at the World Economic Forum, in Davos. “Outside the developed world, other than maybe India and China, very few countries have that combination.”By contrast, small AI can deliver useful, even life-saving services to people in areas that have none of those things, Banga said. In India, where the government’s AI plans call for more development of small AI, many such systems are working for farmers.For example, a drone-based system developed by Bala Murugan and colleagues at the Vellore Institute of Technology, in India, takes photos of cashew plants and quickly identifies those with splotches that indicate disease. All the processing takes place on the drone itself, so there’s no need for a computer on-site, nor for a connection to a central server.Using small language models trained for a specific problem, and sometimes running on cheap, low-power devices, other small-AI implementations have been developed to identify ant infestations in a Uruguayan vineyard, detect the presence of malaria-carrying mosquitoes in a number of nations, and run electrocardiograms from an Arduino device in parts of Brazil that lack access to more complex equipment.“This is the most important area in AI nowadays,” says Marcelo José Rovai, a professor at the Institute of Engineering and Information Systems at the Federal University of Itajubá, in Brazil, who was involved in all three projects. “It’s growing very fast.”Low-Power, Small-AI Models on Devices Small AI models can run on a variety of low-power devices, including [from left to right] an Arduino Nano 33 BLE Sense, a Seeed Wio Terminal, and an Arduino Portenta.Moez AltayebFor Alonge, Rovai, and other advocates, small AI is not just “a promising trend,” as that November World Bank report calls it. It may be, in the long term, the form of AI that will touch the most lives and remain sustainable after some of the giant models become too costly for most users.“I think the future of AI is not like one giant model, at a center. I think it’s millions of small, precise models deployed at the edge, each one solving like a specific problem, a specific context,” Alonge says. This is partly because much of humanity—including people in parts of rich countries as well as the developing world—lives without access to cutting-edge frontier models. But, he says, it’s also because those models are not sustainable.“If someone is not subsidizing it, most people will not be able to afford those models. So those of us who are said to be small-AI developers are the ones who will have to build for the majority of the world,” Alonge says.There is no strict definition of “small AI,” but people often use the term for language models with at most a few billion parameters. (Compare that to cutting-edge models, which can include more than a trillion.) That’s small enough to run directly on a phone or a Raspberry Pi. That’s what allows these applications to run on devices without a connection to a data center and use only a few watts of power, often supplied by a battery or a solar panel.Despite their small footprint, these models aren’t fundamentally different technology from that of gigantic AI models, Rovai says. Many instances of small language models were created the same way the phone-based version of Alonge’s pharmaceuticals scanner was—by “pruning” large models, or removing the parameters that weren’t involved in the task. The result is a system that’s less capable generally but still very good at the specific job it was pruned for, Rovai says. A lighter version of RxAll’s RxScanner spectrometer sends its results to an AI model run locally on a phone to check that a drug’s molecular signature is genuine.RxAllOther small models are created by “distillation.” They are trained to mimic a large model, until their performance approaches that of their “teacher,” Rovai says. In other cases, a larger model’s precision is reduced, for example, so that a model run on 32-bit architecture can run on 8-bit designs. In situations where the machine learning application is being used to classify data or predict patterns (like an ant infestation), it’s trained from the beginning on a small device, not derived from a larger model at all. Running all these small, specialized systems is becoming easier, Rovai says, for two reasons.The first reason is that hardware is getting better and more capable while using less power, he says. This means more and more phones can run small AI—especially those equipped with neural processing units, which are specialized chips that handle AI tasks like facial recognition and changing the brightness, shadows, or contrast in a photo.In 2025, slightly more than a third of all smartphones shipped worldwide were capable of running generative AI, and that figure will reach 45 percent by the end of this year, according to the technology research firm Counterpoint. By the end of next year, slightly more than half of all smartphones will be able to run a small AI model.The second reason Rovai cites is the shrinking footprint of language models. Both Google DeepMind’s Gemma 4 (released in April) and Alibaba’s Qwen 3.5 are “fantastic” for small AI, Rovai says. Both models are “open weight,” meaning users can adjust the connections between parameters to suit their needs. This makes it easy, for example, “to take a lot of data from, say, the milk industry and retrain the model specifically on that,” Rovai says.Rovai illustrated these reasons on a Zoom call, using one of his most recent experiments. Holding up a device, he says, “This is the new Arduino UNO Q—a US $50 device with a Qualcomm chipset. I’m running a language model here, which collects data from sensors and analyzes that data to detect tiny pools of water where mosquitoes might be breeding. It takes 3 watts to run it.”Support for Small-AI DevelopmentConvinced that millions of people are already benefiting from these kinds of applications, the World Bank now actively promotes small AI with grants, mentorship programs, financing, technical advice, and models of government policies that are friendly for small-AI development. For example, in Rwanda, the World Bank is backing a government program to help low-income households get devices that can run AI.All that said, no one claims that large language models are going away entirely. To create a generative AI that can run on a phone or other small device requires the architectural insights, data processing, and results of a larger model, Rovai says. “We need the big models to create these smaller models.” And for all that small AI can benefit people without access to big AI, the technology can’t solve the larger problems of development and digital inequality, Alonge says. Implementing small AI won’t allow nations to escape the challenge of creating an ecosystem to support AI: reliable power, a supply chain that works, and an educational system that develops the talents needed to create AI tools.Though his drug-scanning system can run for days on a phone with no connection, “you still want to be able to enable periodic syncing for updates with new signatures for the medications and analytics,” Alonge says. “And even when you are using batteries, reliable power is important. That phone battery is not going to last forever.”In many parts of the world, the future of small AI isn’t assured, he says. “It works, and many places will eventually need to use it. The question is whether or not the political actors are wise enough to invest in infrastructure to support it long term.”
Small-language-models Artificial-intelligence Llms
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.
Components Design Engineering abb robotics ai robotics automation news
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
Kawasaki Robotics and Dexterity Expand Collaboration to Scale Physical AI for Warehouse Logistics
Kawasaki Robotics has unveiled the RL030N, an advanced 8 DoF (degrees of freedom) robot arm platform that integrates cutting-edge industrial robot engineering with Dexterity's Mech hardware and Foresight World Model technology. This innovative platform aims to enhance automation capabilities across various industries by providing greater flexibility and precision in robotic tasks. The announcement was made during a recent technology expo held in Tokyo, showcasing the latest advancements in robotics and automation. By combining expertise from multiple sectors, the RL030N is designed to meet the growing demand for sophisticated robotic solutions that can adapt to complex environments and tasks. The collaboration between these industry leaders highlights a commitment to pushing the boundaries of what robotic systems can achieve, ultimately aiming to improve efficiency and productivity in manufacturing and other applications.
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.
AI-Driven Ultrasound Technology Enables Non-Invasive Brain Access: BCI-Sonics Secures $14 Million in Seed Funding
BCI-Sonics, a startup focused on artificial intelligence and ultrasound brain-machine interfaces, has successfully secured around $14 million in seed funding to enhance its groundbreaking technology. The funding will support the development of a non-invasive technique that utilizes low-intensity focused ultrasound to access deep brain regions, potentially revolutionizing clinical applications in neurology. With a robust engineering team dedicated to precision and efficiency, BCI-Sonics is set to make significant strides in the field of brain stimulation therapies.
Brain-Machine Interfaces Ultrasound Technology Neuroscience Medical Devices AI
How to Build Better Robotics with Integrated Actuators
Reese Abouelnasr, a Mechatronics Engineer at Harmonic Drive, recently discussed advancements in actuator technology and the engineering challenges these devices address in the field of robotics. In an interview, Abouelnasr highlighted the significance of actuators in enhancing the precision and efficiency of robotic systems. He elaborated on how recent innovations are enabling engineers to overcome obstacles related to motion control and energy consumption. The conversation took place in October 2023, reflecting the ongoing evolution of robotics and the critical role that actuator design plays in the industry. Abouelnasr emphasized that these developments not only improve performance but also expand the potential applications of robotics across various sectors.
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
In June 2026, the Journal of Field Robotics published a comprehensive study exploring advancements in robotic technologies and their applications in various fields. The research, conducted by a team of experts in robotics and engineering, highlights innovative methodologies that enhance the efficiency and effectiveness of robotic systems. The study focuses on the integration of artificial intelligence and machine learning algorithms, which significantly improve the decision-making capabilities of robots in real-world environments. This advancement is particularly relevant in sectors such as agriculture, manufacturing, and disaster response, where precision and adaptability are crucial. The findings were presented during a conference held in a prominent robotics research hub, attracting attention from industry leaders and academic scholars alike. The motivation behind this research stems from the growing demand for automation and smart technologies in response to global challenges, including labor shortages and the need for increased productivity. By employing rigorous testing and validation processes, the researchers demonstrated the practical applications of their robotic systems, showcasing successful case studies that underline the potential for widespread adoption. The publication aims to inform and inspire further innovations in the field, ultimately contributing to the evolution of robotics as a transformative force in society.
SURVEY ARTICLE
Design of a Multi‐Sensor Integrated Control System for Vehicle‐Mounted Tunnel Lining Inspection With Real‐Time Velocity and Posture Tracking
In June 2026, researchers published a comprehensive study in the Journal of Field Robotics, focusing on advancements in robotic technologies and their applications in various fields. The study highlights innovative methodologies that enhance the efficiency and effectiveness of robotic systems, particularly in challenging environments such as disaster response and exploration. The research team, comprised of experts in robotics and engineering, conducted extensive field tests to evaluate the performance of these advanced robotic systems. Their findings demonstrate significant improvements in navigation, autonomy, and adaptability, which are crucial for tasks that require precision and reliability. This study aims to address the growing demand for sophisticated robotic solutions in sectors like agriculture, search and rescue, and environmental monitoring. By showcasing the potential of these technologies, the researchers hope to inspire further development and investment in robotics, ultimately contributing to safer and more efficient operations in critical situations. The publication serves as a pivotal resource for industry professionals and academics alike, providing insights into the future of robotics and its role in addressing complex challenges faced by society.
RESEARCH ARTICLE
From Humanoid Philosophy to Embodied Intelligent Infrastructure: Analyzing Flexiv's Enlight·MICO Platform Product Logic
Flexiv has unveiled its Enlight series of robotic arms and the MICO dual-arm robot system, marking a notable advancement in the field of robotics. These innovations are designed to enhance adaptability and precision, allowing them to function effectively in unstructured environments. The development of these robotic systems is driven by evolving engineering principles and increasing market demands for versatile automation solutions. As industries seek more efficient and flexible robotic applications, Flexiv's latest offerings aim to meet these needs, showcasing the potential for significant improvements in various operational settings.
Robotics Embodied Intelligence Automation Technology Adaptive Robotics
Closing the gap between animal movement and robotic control
Researchers at Carnegie Mellon University's Department of Mechanical Engineering are pioneering an AI-driven approach to enhance the understanding of how animal brains and bodies coordinate their movements. This innovative project aims to transform complex biological systems into testable models, allowing the team to analyze and refine these systems. The ultimate goal is to replicate the precision and adaptability seen in animal movement within robotic systems, addressing the challenges that robots currently face in matching these capabilities. This research is part of a broader effort to bridge the gap between biological performance and robotic functionality, potentially leading to advancements in robotics and artificial intelligence.
Robotics
3 Key Certifications to Look for When Vetting a Robot
In the competitive landscape of automation, JAKA Robotics is setting a high standard for the production of collaborative robots through its state-of-the-art robotic arm factory. This facility, which adheres to rigorous international certifications, ensures that every robot produced meets stringent quality, safety, and environmental benchmarks. The factory's ISO 9001 certification underscores its commitment to quality management, guaranteeing that each robot is manufactured with consistent precision and reliability. This certification also establishes a framework for addressing technical issues through documented processes, fostering a culture of continuous improvement. Additionally, JAKA's compliance with ISO 10218-1 highlights its focus on safety, as this certification outlines essential requirements for industrial robots operating in shared workspaces. By rigorously testing safety features, JAKA ensures that its robots can work alongside human operators without posing risks. Furthermore, the factory's ISO 14001 certification reflects JAKA's dedication to sustainable manufacturing practices. This certification confirms that the company actively works to minimize its environmental impact, aligning its operations with global environmental, social, and governance (ESG) goals. As the automation industry evolves, JAKA Robotics emphasizes the importance of safety and compliance, integrating advanced design principles and precise engineering to deliver high-performance robots. With a focus on accuracy and user-friendly interaction, JAKA's collaborative robots, including the Zu series and MiniCobo, are engineered to meet the demands of sectors such as semiconductor, electronics, and automotive, ensuring safe and efficient human-robot collaboration.
How Collaborative Robots Are Improving Quality Control in Electronics Manufacturing
The electronics industry is undergoing a significant transformation as manufacturers increasingly adopt collaborative robots to enhance quality control and inspection processes. With rapid product lifecycles and the demand for zero-defect production, traditional automation methods often fall short in the high-mix, low-volume production environment typical of modern tech manufacturing. Collaborative robots, or cobots, are now being integrated into precision testing and visual inspection lines, offering the speed and accuracy needed while maintaining the flexibility required for delicate electronic assembly. These robots can perform Automated Optical Inspection (AOI) with sub-millimeter precision, significantly reducing the risk of human error associated with fatigue and perceptual blindness during long shifts. Companies like JAKA are leading this innovation by developing robots equipped with advanced 2D and 3D vision systems. Their JAKA AL series features an integrated vision system that allows the cobot to autonomously identify components and check for assembly errors without the need for external cameras. This capability enables real-time adjustments to the production line, helping to identify quality drifts before they result in defective batches. JAKA’s engineering emphasizes safety and high performance, with models like the JAKA Zu series designed for high-speed testing while ensuring safe human interaction through torque-feedback collision detection. By investing in JAKA collaborative robots, manufacturers can ensure that every device produced meets stringent global standards, thereby maintaining a competitive edge in the electronics market.
Educational Robotic Arm in Action: Case Studies in High School Robotics Clubs
In recent years, high school robotics clubs have increasingly adopted educational robotic arms, such as the JAKA MiniCobo, to enhance student learning through hands-on experience with automation and programming. This versatile tool allows students to engage in various tasks, including sorting and assembly, while minimizing direct contact with potentially hazardous equipment, thereby creating a safer learning environment. The JAKA MiniCobo has become a central resource in several robotics clubs, where students have successfully programmed the arm to identify and separate components during projects. This adaptability enables students to explore multiple programming approaches and fosters collaboration as they work in teams to troubleshoot and refine their coding solutions. Educators have noted that the use of this robotic arm not only improves accuracy and efficiency but also teaches essential skills in workflow optimization and precision control, crucial for careers in engineering and STEM fields. Furthermore, the integration of the JAKA MiniCobo into extracurricular activities has significantly boosted student engagement. Students benefit from immediate feedback on their programming efforts and enjoy the creative freedom to design new tasks, simulating real-world industrial processes. This hands-on approach cultivates curiosity and confidence in technology, ultimately preparing students for future innovations. Overall, the incorporation of educational robotic arms like the JAKA MiniCobo in high school settings exemplifies the transformative potential of automation in education, equipping students with valuable skills while promoting a safe and engaging learning atmosphere.
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.
Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker
Claire recently spoke with Rich Walker, a key figure at Shadow Robot Company, regarding their innovative robotic hands designed for both research and industrial applications. Walker, who has been with the company since its inception, transitioned from a background in software and systems engineering to a management role, where he has played a pivotal part in the company's research and development initiatives. The discussion highlighted the advancements in robotic technology and the potential impact these developments could have across various sectors. Shadow Robot Company aims to enhance automation and precision in tasks traditionally performed by humans, showcasing the growing intersection of robotics and industry.
Joule Heating Enables Self-Folding Origami Robots
Researchers have developed innovative liquid crystal elastomer hinges integrated with Joule heating technology, resulting in highly adaptable origami robots. These advanced robots demonstrate exceptional actuation precision and impressive durability over numerous cycles. This breakthrough was achieved through the combination of materials science and engineering techniques, allowing for the creation of reconfigurable structures that can perform complex movements. The development aims to enhance the functionality and versatility of soft robotics, making them suitable for a variety of applications, including medical devices and environmental monitoring. The findings were published in a recent study, showcasing the potential for these robots to revolutionize fields that require flexible and resilient robotic solutions.
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.
Automation and Industrial Robotics for Education: Training Programs and Platforms
JAKA, a leader in industrial automation and robotics, is revolutionizing technical education by integrating hands-on experience with industrial cobot systems into learning environments. This initiative aims to prepare students for future careers in manufacturing and engineering by providing practical knowledge that complements traditional theoretical studies. The company has developed training programs centered around the JAKA Pro16, an industrial cobot designed to operate in challenging environments, allowing students to engage in tasks such as palletizing, machine tending, and precision welding without damaging sensitive equipment. This hands-on approach helps learners understand the practical challenges of modern industrial settings. JAKA's modular platforms facilitate both individual and collaborative learning, enabling students to program trajectories, test automation sequences, and analyze data from integrated sensors. This immersive experience connects theoretical concepts with real-world applications, enhancing problem-solving skills and technical confidence. The goal of these educational programs is to equip students with the skills necessary for careers in manufacturing, engineering, and technology. By interacting with advanced robotics like the JAKA Pro16, students gain insights into mechanical operations, control systems, and safety protocols. JAKA also provides instructor guides and safety materials to ensure effective and secure learning. Through this commitment to integrating automation and robotics into education, JAKA is helping to bridge the gap between classroom learning and industry requirements, ultimately preparing the next generation for the evolving challenges of modern manufacturing.
How Your Virtual Twin Could One Day Save Your Life
In May 2019, a cardiac surgeon at Boston Children’s Hospital successfully performed a complex heart surgery on a child with a severe congenital defect, utilizing advanced virtual twin technology. This innovative approach involved creating a detailed 3D model of the child's heart and vascular system from MRI and CT scans, allowing the surgical team to simulate various strategies and predict outcomes before the operation. The procedure was critical due to the unique nature of the child's heart condition, which had no established surgical manual. The Living Heart Project, initiated in 2014, has since guided nearly 2,000 surgeries by employing virtual twin modeling, which combines engineering principles with medical expertise to enhance surgical precision and patient outcomes. This project, now involving over 150 organizations globally, aims to revolutionize medical treatment by providing a dynamic, predictive tool that can simulate the human body's responses. The technology not only aids in surgical planning but also has the potential to streamline clinical trials. By creating virtual patient cohorts, researchers can test treatments more efficiently, reducing the time and costs associated with traditional trials. The FDA has recognized the significance of this approach, collaborating with the project to establish guidelines for in silico clinical trials, marking a significant shift in how medical innovations are developed and validated. As virtual twins expand beyond cardiac applications to other organs, they promise to transform healthcare by enabling personalized medicine and fostering a deeper understanding of patient physiology, ultimately improving treatment outcomes and patient engagement in their health management.
Cardiology Digital-twins Personalized-medicine Virtual-heart Generative-ai
Three Essential Features of a High-Performance Robotic Arm Component
In the evolving landscape of modern manufacturing, JAKA is redefining the criteria for selecting industrial robot arms, emphasizing the importance of precision, flexibility, and safety over mere automation speed. The company focuses on developing robotic systems that ensure engineering reliability and practical usability, which are crucial for meeting the dynamic demands of production environments. Key features of high-performance robotic arms include the ability to maintain stable processing precision, which directly impacts product quality and defect control. JAKA’s design prioritizes controlled motion, allowing manufacturers to achieve consistent results and reduce defect rates, thereby enhancing overall process reliability with minimal manual intervention. Additionally, the adaptability of robotic arms is vital for responding to changing production needs. JAKA’s Pro5 model offers reprogrammable functions that enable quick adjustments to workflows, facilitating efficient product modifications without the need for extensive equipment investment. This flexibility is particularly beneficial in mixed-production settings where rapid changes are commonplace. Safety is another critical aspect of JAKA’s robotic arm components. By automating hazardous or repetitive tasks, these systems minimize direct operator contact with potentially dangerous equipment, thereby reducing the risk of accidents on the production floor. By integrating these essential features—precision, reprogrammability, and safety—JAKA aims to support manufacturers in achieving reliable production outcomes and fostering safer, more adaptable manufacturing processes. This approach not only enhances quality control but also enables companies to respond effectively to market changes over time.
Cobot Palletizer for High-Speed Automation
Just Automate, in collaboration with JAKA Robotics, has introduced a new cobot palletizing solution branded as MoveComponents®. This innovative system aims to streamline the palletizing process in various industries, including food and beverages, manufacturing, and logistics, by automating repetitive tasks that traditionally consume valuable human resources and slow production. Launched recently, the MoveComponents® combines the precision of the JAKA Pro 16 collaborative robot with a sturdy palletizing base, designed for quick and safe implementation. Built on the user-friendly D:PLOY automation platform from OnRobot, the system allows for easy operation and setup, making it accessible for manufacturers looking to enhance efficiency without extensive planning. The MoveComponents® palletizer features a compact design, a stacking height of up to 2,400 mm, and a maximum payload of 16 kg, capable of handling various product types. Its mobile base allows for repositioning, and the intuitive programming ensures that operators can automate palletizing tasks swiftly. Real-world applications have already demonstrated the solution's effectiveness. A Dutch distillery successfully reduced operator workload and increased productivity by implementing the system within a day. Similarly, a German road safety equipment manufacturer improved workflow efficiency and employee safety by automating their palletizing processes. This turnkey solution stands out for its robust engineering, collaborative flexibility, and straightforward implementation, making it a cost-effective option for small and medium-sized enterprises looking to embrace automation.
From Design to Deployment: The Complete Lifecycle of a Cobot Manufacturer's Product
JAKA Robotics is redefining the lifecycle of collaborative robots, emphasizing a user-centric design and rigorous engineering processes. The journey begins with a foundational design phase, where the company focuses on creating cobots that balance strength, precision, and safety. This involves intensive simulations and prototyping to ensure reliability from the outset. Following the design phase, JAKA transitions to high-quality manufacturing, where prototypes are transformed into standardized products. The company employs automated production controls and stringent testing protocols to validate performance, accuracy, and safety. Each robotic arm undergoes thorough checks to guarantee that it meets high performance and safety standards before reaching customers. Once the cobots arrive at client sites, JAKA emphasizes the importance of integration and ongoing support. The company provides clear documentation, programming tools, and training resources to facilitate a smooth setup. Their design choices, such as a user-friendly programming interface, enhance the deployment process, ensuring that the cobots operate effectively within the customer's workflow. Through this comprehensive approach, JAKA Robotics aims to deliver not just automation hardware, but a reliable solution that continues to adapt and provide value throughout its service life. The company’s commitment to engineering integrity and practical usability positions it as a leader in the collaborative robotics industry.
Key Features and Benefits of 6 Axis Cobot Arms (Reach, Payload, Safety)
JAKA, a leader in automation solutions, has unveiled its latest 6-axis collaborative robot arm designed to enhance flexibility and accessibility in modern manufacturing. This innovative robot arm, which allows for seamless interaction with human operators, combines dexterity with advanced safety features, making it suitable for a variety of applications. The robot's operational reach is a key feature, allowing it to service multiple machines or large workspaces effectively, while its compact design is ideal for confined areas. JAKA emphasizes the importance of balancing reach, precision, and footprint in its engineering process to optimize workspace design. Additionally, the payload capacity of the robot arm is crucial for maintaining performance integrity. JAKA's models are rated to handle a range of weights, ensuring they can manage everything from delicate electronic components to heavier mechanical assemblies without compromising accuracy or durability. Safety is a core design principle for JAKA, with the robot arm equipped with force-limited joints and other advanced safety systems that facilitate safe human-robot collaboration. These features enable the robot to operate in shared workspaces without the need for traditional safety cages, promoting more efficient teamwork. By integrating these essential attributes, JAKA aims to provide businesses with adaptable automation solutions that enhance productivity while ensuring a secure working environment. The company’s commitment to developing versatile and user-friendly collaborative robots positions it as a key player in the future of manufacturing automation.
AWR standardizes CNC machine tending with OnRobot electric grippers to speed changeovers
In the evolving landscape of high-mix, low-volume manufacturing, companies are increasingly recognizing the need for flexibility in production to maintain profitability. Automation Within Reach (AWR), previously known as Gosiger Automation, is addressing this challenge by introducing advanced automation solutions that enhance the adaptability of machine shops. Traditionally reliant on pneumatic systems, many manufacturers have struggled with the limitations of these older technologies, which lack the intelligence necessary for modern operations. AWR's innovative approach aims to equip manufacturers with the tools needed to seamlessly transition between various part sizes, thereby improving efficiency and competitiveness in a rapidly changing market. This shift towards smarter automation is crucial for manufacturers seeking to thrive in an environment where agility is key to success.
Components Engineering Features Industrial robots 3FG25 gripper automated machining
Why Optical Metrology is Replacing Tactile Measurement for Complex Component Validation Source
Manufacturers are experiencing a significant transformation in the validation of complex components as optical metrology increasingly complements and, in some cases, surpasses traditional tactile measurement methods. This shift is driven by practical advantages, including the elimination of surface deformation risks associated with contact measurements, significantly enhanced measurement speeds, and the ability to capture a greater volume of usable surface data. As industries seek more efficient and accurate validation processes, optical metrology is becoming an essential tool in manufacturing, marking a pivotal change in how quality assurance is approached.
Components Engineering 3d scanning additive manufacturing advanced manufacturing aerospace manufacturingRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
