Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference
FORT Robotics has joined the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous robots. The company will showcase its agentic safety application, developed using the Nvidia Halos Outside-In Safety Blueprint, at the Automate conference in Chicago. This innovative solution utilizes external infrastructure sensors and visual AI agents to provide real-time, safety-certifiable functional safety, significantly improving operational efficiency in dynamic environments. The collaboration is significant as it addresses the limitations of traditional inside-out functional safety systems, which rely solely on onboard sensors. By integrating Nvidia's IGX Thor and Holoscan Sensor Bridge, FORT's solution allows robots to operate safely alongside human workers in high-efficiency modes. This adaptability is crucial for modern warehouses and factories, where environments are constantly changing, and safety frameworks must evolve to protect workers effectively. Looking ahead, FORT's integration with Nvidia Halos is expected to provide substantial value to customers in warehousing, manufacturing, and other automated sectors. The Outside-In Safety framework aims to prevent safety incidents in mixed human-robot environments, optimizing processes like inventory replenishment and product assembly. No further timeline was disclosed at the time of publication.
Artificial Intelligence Industry ai automation Autonomous robots fort robotics
Q&A: Robots can't feel, but novel sensors could change that
A research team led by Huanyu "Larry" Cheng, an associate professor of engineering science and mechanics at Penn State, is developing an advanced electronic "skin" that incorporates pressure sensors. These tiny devices, comparable in size to a paperclip, are capable of measuring force applied over a surface area. The initiative aims to enhance the functionality of robots and prosthetic limbs, providing them with a heightened sense of touch and responsiveness. This innovative project is part of ongoing efforts to improve human-robot interaction and the usability of prosthetic devices, ultimately seeking to bridge the gap between technology and human sensory experience.
Robotics
Graphene-based sensor to improve robot touch
Researchers have made significant advancements in robotic technology by developing a miniature tactile sensor designed to enhance the touch capabilities of robots. Despite improvements in vision and movement, touch has remained a critical limitation for robotic systems. This innovative sensor, which is part of a sensing array on a robotic manipulator, utilizes multiscale-structured materials to provide enhanced tactile feedback. The development aims to bridge the gap in robotic sensory perception, allowing robots to interact more effectively with their environments. This breakthrough was reported recently, highlighting the ongoing efforts to improve robotic functionality and adaptability in various applications.
MIT Develops FloatForm Swarm of Autonomous Boats for Adaptive Marine Infrastructure
MIT researchers have unveiled FloatForm, a swarm of 21-centimeter-square autonomous robotic boats capable of self-assembling into floating structures. Each boat is equipped with thrusters, sensors, and a magnetic latching mechanism, allowing them to connect and reconfigure with minimal human intervention. This modular system can adapt to various environments, supporting applications such as emergency response, temporary bridges, and floating markets in waterways across diverse geographies. The significance of FloatForm lies in its decentralized swarm robotics approach, which enables the boats to make local decisions rather than relying on a central controller. This design enhances scalability and efficiency, allowing the robots to navigate and coordinate independently while maintaining robust structural integrity. The innovative magnetic latching system, inspired by origami, allows for reliable connections between boats, facilitating the creation of larger, adaptive structures on water. Future developments will focus on expanding the capabilities of FloatForm for use in canals, rivers, and coastal areas. The researchers aim to deploy larger versions of the robots for various applications, including temporary infrastructure and environmental monitoring. No further timeline was disclosed at the time of publication, but the potential for this technology to transform marine operations is significant, as noted by experts in the field.
AI and Robotics
MIT's FloatForm Swarm Robots Create Adaptive Floating Structures for Urban Spaces
MIT researchers have developed FloatForm, a swarm of small robotic boats that autonomously assemble into larger floating structures. Each robot, measuring 21 centimeters square, is equipped with thrusters, sensors, and magnetic latches, allowing them to form bridges, platforms, and other structures with minimal human input. This innovative system aims to transform urban waterfronts into dynamic, programmable spaces, enhancing public infrastructure and emergency response capabilities. The significance of FloatForm lies in its potential to revolutionize how urban areas utilize water surfaces. By mimicking the self-organizing behavior of fire ants, the robots can adaptively create and reconfigure structures on demand, addressing challenges such as traffic alleviation during emergencies or creating temporary public spaces. This modular approach to floating infrastructure could lead to more livable cities by expanding usable public space onto underutilized water areas. Looking ahead, the research team plans to explore further applications of FloatForm in urban environments, with no specific timeline disclosed for future developments. The project builds on previous work with full-size autonomous vessels in Amsterdam, indicating a growing interest in leveraging water for urban mobility and public space expansion. The open-access findings were published in Nature Communications, highlighting the collaborative efforts of MIT's Computer Science and Artificial Intelligence Laboratory and the Senseable City Lab.
Research Robotics Autonomous vehicles Artificial intelligence Computer science and technology Machine learning
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
Sutton partners with Tianshan Technology to launch "Robot Kindergarten," using tactile perception to enable robots' self-learning abilities in the real world.
Sutton has announced a collaboration with Tianshan Technology to introduce "Robot Kindergarten," an innovative initiative aimed at enhancing robots' self-learning capabilities through tactile perception. This partnership seeks to bridge the gap between artificial intelligence and real-world applications by allowing robots to learn from their interactions with the environment. The launch of Robot Kindergarten is set to take place in the coming months, with the aim of revolutionizing how robots adapt and respond to various stimuli. By leveraging advanced sensory technology, the project aspires to create more autonomous and intelligent robotic systems, ultimately paving the way for broader applications in industries such as education, healthcare, and manufacturing.
Robotics Automation AI
Artificial skin enables robots to simultaneously sense temperature and pressure like humans
A research team from Seoul National University, headed by Professor Seung Hwan Ko, has made significant advancements in artificial skin technology that allows robots to detect both temperature and pressure simultaneously, mimicking the sensory capabilities of human skin. This breakthrough, announced recently, aims to enhance the interaction between robots and their environments, potentially leading to more sophisticated applications in fields such as healthcare, manufacturing, and service industries. By integrating advanced sensors and materials, the team has developed a system that not only improves robotic sensitivity but also paves the way for more intuitive human-robot interactions. The research highlights the ongoing efforts to bridge the gap between human and robotic capabilities, with the ultimate goal of creating machines that can operate safely and effectively alongside people.
Robotics
The New Era of Robot Perception: How CoRMA Enables Machines to Truly "Understand Touch"
Researchers have unveiled a groundbreaking advancement in robotic technology with the introduction of CoRMA, a new system designed to enhance machines' ability to perceive touch. This innovative development, announced in October 2023, aims to bridge the gap between human-like sensory experiences and robotic capabilities. Located at a leading technology research facility, the CoRMA system utilizes advanced algorithms and sensory data to enable robots to interpret tactile information more effectively. The motivation behind this initiative stems from the growing demand for robots to perform tasks that require a nuanced understanding of touch, such as delicate assembly work or providing care in healthcare settings. By integrating sophisticated sensors and machine learning techniques, CoRMA allows robots to not only detect pressure but also differentiate between various textures and materials. This advancement is expected to significantly improve the functionality of robots in diverse applications, from manufacturing to personal assistance. The development of CoRMA represents a significant leap forward in the field of robot perception, potentially transforming how machines interact with their environment and enhancing their ability to perform complex tasks that require a human-like touch.
Robotics Automation AI
MIT’s ultrasound wristband could teach humanoid robots human hand skills
Researchers have developed an innovative wearable device aimed at enhancing the dexterity of humanoid robots, potentially allowing them to perform tasks with greater human-like precision. This breakthrough was announced in October 2023, as scientists continue to explore ways to improve robotic functionality and interaction in various settings. The device integrates advanced sensors and actuators, enabling robots to mimic the intricate movements of human hands. The motivation behind this development stems from the increasing demand for robots in industries such as healthcare and manufacturing, where fine motor skills are essential for tasks like surgery or assembly. By equipping robots with this new technology, researchers hope to bridge the gap between human and robotic capabilities, leading to more effective collaboration in the workplace. The project highlights the ongoing advancements in robotics and the potential for these machines to take on more complex roles in society.
AI and Robotics
From Demo to Deployment, Where Robotics Actually Fails
Recent advancements in robotic vision have highlighted a significant gap in achieving true autonomy in unstructured environments: the need for tactile intelligence. Experts emphasize that while robots can effectively process visual information, the ability to 'feel' pressure and tension is crucial for reliable object handling. This capability is essential for various applications, including agricultural harvesting and medical device operation. As the field progresses, researchers are focusing on integrating tactile sensors and feedback mechanisms to enhance robots' interaction with their surroundings, ultimately aiming to bridge this critical gap in robotic functionality.
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.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
