Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Fortsense Develops Single-Chip RGBD Spatial Cameras for Physical AI Perception
Fortsense Technologies is making significant strides in the field of imaging technology with its development of single-chip RGBD spatial cameras. These innovative cameras combine color and depth perception into a single unit, offering a streamlined alternative to the traditional combination of cameras and LiDAR systems. The company's focus is on enhancing the capabilities of autonomous vehicles and robotics, sectors that increasingly rely on advanced sensing technologies for navigation and environmental understanding. By integrating both color and depth data into one chip, Fortsense aims to improve efficiency and reduce costs in these applications. The initiative is part of a broader trend towards more compact and effective sensor solutions in the rapidly evolving landscape of autonomous technology.
AI
Time-of-Flight as a key technology for cost-sensitive 3D applications
Patrick Schick, the Product Manager for 3D Vision at IDS, recently provided insights into the development and technical considerations surrounding Nion, a cutting-edge technology in the field of 3D imaging. In his discussion, Schick contextualized the innovative iToF (indirect Time of Flight) technology, emphasizing its significance in enhancing depth perception and spatial awareness in various applications. He outlined typical use cases for Nion, showcasing its potential across industries such as robotics, automation, and augmented reality. Schick's commentary sheds light on the strategic decisions that guided the creation of Nion, illustrating how advancements in 3D vision technology can drive efficiency and innovation in multiple sectors.
Ant Group Unveils Groundbreaking Spatial Perception Model for Robots
Ant Group's Robbyant has unveiled LingBot-Depth 2.0, an advanced spatial perception model designed to enhance robot vision in complex environments, such as those involving glass and mirrors. This innovative model, which operates with just 1.1 billion parameters, demonstrates superior performance compared to larger models while requiring less training data. The launch, which marks a significant milestone in artificial intelligence technology for robotics, reflects ongoing efforts to improve the capabilities of robots in navigating and interpreting their surroundings effectively.
Robotics AI Computer Vision Depth Perception
Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception
Building upon the success of LingBot-Depth, which pioneered the Masked Depth Modeling (MDM) technique to resolve depth sensing challenges for transparent and reflective surfaces, LingBot-Depth 2.0 represents a massive scale-up in training data and performance.
The Hidden Perception Decisions That Shape a Robot’s Cost, Size, and Time to Market
Recent advancements in robotics highlight the critical importance of sensor specifications, which serve as a foundational element for enhancing a robot's operational capabilities. Key factors such as depth accuracy, range, field of view, and frame rate are essential in determining a robot's ability to effectively perceive its environment. These specifications are not merely technical details; they play a pivotal role in the robot's functionality and performance in various applications. As the field of robotics continues to evolve, understanding and optimizing these sensor characteristics will be crucial for developing more sophisticated and capable robotic systems.
RealSense unveils AI-native D585 Pro depth camera for robots
RealSense has introduced its latest innovation, the D585 Pro depth camera, designed specifically for robotic applications. This new model is powered by a proprietary Gen 5 system-on-chip, which enhances its performance by providing over twice the depth quality compared to its predecessor. The unveiling of the D585 Pro marks a significant advancement in depth sensing technology, aimed at improving the capabilities of robots in various environments. The announcement was made recently, highlighting RealSense's commitment to advancing AI-native solutions in the robotics sector.
Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Collaborative Robots Humanoids Industrial Robots
Glass crashes slashed? Ant Group embodied AI unit claims breakthrough in robot sensing
Robbyant, the embodied artificial intelligence arm of Chinese fintech giant Ant Group, launched a new vision model that it claims can help robots overcome a long-standing challenge: accurately perceiving glass, mirrors and transparent objects. The unit of Hangzhou-based Ant Group on Tuesday unveiled its next-generation spatial perception model, LingBot-Depth 2.0, alongside a new foundational visual model called LingBot-Vision, as AI labs race to equip machines with the “brains” required to...
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift Visit http://go.abb/robotics for further information -The new Flexley Stack F712 extends ABB Robotics’ AI-powered Visual SLAM technology to autonomous forklifts, enabling pallet transport and high-density storage. -Customers can now deploy mixed fleets of Visual SLAM-powered tugs, movers and forklifts on a common navigation, fleet management and software platform. -Powered by ABB Robotics' AMR Studio, the portfolio enables up to 20% faster commissioning while ensuring seamless interoperability and safe, reliable operation. 07/07/26, 07:10 AM | Industrial Robotics, Mobile Robots | ABB Inc. ABB Robotics is expanding its Autonomous Mobile Robotics (AMR) portfolio with the launch of the Flexley® Stack F712, creating a complete interoperable ecosystem across all major Visual SLAM AMR types. Combining autonomous forklifts, tugs and movers on one platform, ABB Robotics enables customers to automate a broader range of material-handling and intralogistics processes. Offering market-leading accuracy, the F712 is designed for demanding material handling, end-of-line storage and warehouse operations across industries including automotive manufacturing, helping increase efficiency, flexibility and scalability. 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 Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations 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 "Across intralogistics operations, businesses are being asked to process greater volumes in less time, while working with increasingly limited resources," said Marc Segura, President, ABB Robotics. "They are under pressure to move goods faster and with greater flexibility, while labour availability is becoming a critical constraint. As part of our journey to more autonomous and versatile robotics (AVRTM), we have combined advanced vision, mobility and intelligence in the Flexley Stack F712 forklift AMR, completing our scalable, AI-powered AMR portfolio." F712 is versatile, capable of handling multiple load types and sizes - including open and closed pallets, containers or racks- up to 2,000 kg and reaching heights of 8.5 meters. The Flexley Stack AMR F712 joins the Flexley Tug and Flexley Mover in ABB Robotics' growing Visual SLAM AMR portfolio. Applications include intralogistics tasks such as warehouse storage and retrieval, as well as line supply, end-of-line handling, body- and press-shop and drive-in and light buffer in the automotive and industries sector. Unlike conventional AMR forklifts on the market, F712 uses Visual SLAM to map and navigate its environment, eliminating the need for pre-installed infrastructure like markers or reflectors. The AI-enabled Visual SLAM supports the autonomous decisions required to operate in complex, dynamic warehouse operations with a market-leading positional accuracy of ±10 mm. Together with AMR Studio®, this shortens commissioning times by up to 20 percent and creates a versatile and reliable system that can adapt instantly when a warehouse or production floor layout changes. Certified to the latest ISO and ANSI safety standards, Flexley Stack F712 can safely operate at class-leading speeds of up to 1.7 m/s while loaded. F712 is fully integrated with AMR Studio and is VDA5050 compatible, enabling seamless integration with ABB Robotics' Visual SLAM AMRs and existing systems within a unified project. This makes it easy to manage complex projects and integrate different types of mobile robots. The no-code, drag-and-drop software suite supports rapid setup, fleet coordination, traffic management and real-time visualization, allowing ABB Robotics' tugs, movers and forklifts to operate together in the same layout for scalable turnkey automation projects. ABB Robotics as one of the world's leading robotics companies, is the only company with a comprehensive and integrated AI-powered portfolio covering robots, cobots and Autonomous Mobile Robots (AMRs), designed and orchestrated by our value-creating software. We help companies of all sizes and sectors - from automotive to electronics and logistics - to outperform by becoming more resilient, flexible and efficient. ABB Robotics is at the forefront of developing and commercializing a new generation of Autonomous Versatile Robotics
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
Roundtable Forum: 2026 - A Year of Technology "Minority, Yet a Wave" | 36Kr WAVES 2026 New Wave
In 2026, the Chinese venture capital landscape is witnessing a significant shift as artificial intelligence (AI) transitions from a conceptual technology to a mainstream industry force. The WAVES 2026 conference, organized by 36Kr and AnYun, took place in Guangzhou's Panyu District, bringing together top investors, industry leaders, and emerging entrepreneurs to explore the evolving landscape of AI, hard technology, and other key sectors. Over two days, the event featured 14 in-depth roundtable discussions and numerous independent speeches, focusing on the underlying logic of these core areas and highlighting how the persistence of a few innovators is shaping industry transformation. During a roundtable hosted by He Sichong from Ant Group's NEXTA Innovation Lab, four prominent entrepreneurs shared insights on the rapid advancements in their respective fields. They discussed the increasing acceptance of previously niche technologies, such as embodied intelligence and tactile perception, which are now beginning to redefine industrial processes and human-machine interactions. Despite the enthusiasm, the panelists acknowledged the challenges of integrating these technologies into real-world applications, emphasizing the need for continued innovation and adaptation to meet evolving market demands. As the conference concluded, participants expressed optimism about the future of embodied intelligence and its potential to revolutionize various sectors, while also recognizing the importance of addressing the complexities of deploying these technologies in dynamic environments.
Ant Group's LingBot Vision: Robots Can Now Understand Glasses and Transparent Water Columns
Ant Group has unveiled its latest advancements in robotics technology with the launch of LingBot-Vision and LingBot-Depth 2.0, sophisticated visual models designed to enhance robots' ability to perceive transparent and reflective objects. This development, announced recently, marks a significant improvement over traditional models by emphasizing the understanding of boundaries and spatial relationships, thereby boosting robotic performance in intricate environments. The decision to make these models open-source is intended to foster innovation and improve navigation and interaction capabilities for robots in everyday scenarios.
Robotic Vision AI Machine Learning Computer Vision
Jumping spider’s layered retina drives design of low-power 3D camera for AR and robotics
A team of engineers has conducted an in-depth study of the vision capabilities of jumping spiders, leveraging this unique biological model to inspire innovative technological advancements. This research, which took place over several months, aims to enhance the design of visual systems in robotics and artificial intelligence. By examining the spiders' exceptional ability to perceive depth and motion, the engineers have developed new algorithms that could significantly improve the performance of machines in complex environments. The findings were presented at a recent conference focused on biomimicry and robotics, highlighting the potential for nature-inspired solutions to address modern technological challenges. This interdisciplinary approach not only showcases the intricate relationship between biology and engineering but also opens new avenues for creating smarter, more adaptive robotic systems.
A tiny underwater antenna is changing how robots talk in dark, murky seas
University of Florida researchers are advancing underwater communication technology by deploying robots in various aquatic environments, from the shallow shores of Lake Wahlberg to the depths of the ocean. This initiative aims to enhance the robots' ability to communicate effectively in challenging, murky conditions. The project, which began recently, leverages innovative techniques to improve data transmission and interaction among robots operating in diverse water conditions. By refining these communication methods, the researchers hope to facilitate more efficient underwater exploration and data collection, potentially benefiting fields such as marine biology, environmental monitoring, and search and rescue operations.
Robotics
Exail to Equip Deep Ocean Search with Next-Generation Navigation and Positioning Systems for Deep-Sea Missions
Deep Ocean Search (DOS), a prominent company in deep-sea exploration, has partnered with Exail to enhance its navigation and acoustic positioning for forthcoming missions. This collaboration will see DOS utilize Exail's advanced Rovins 9-DVL navigation system and Gaps M7 acoustic positioning system, which are designed to operate at depths of up to 6,000 meters. The integration of these technologies is expected to significantly improve DOS's operational capabilities in challenging underwater environments, facilitating more precise and efficient exploration efforts.
exail deep ocean search navigation and positioning systems for deep-sea missions
CMU, NREC Researchers Earn Best Paper Award at SSRR 2024
Researchers from Carnegie Mellon University's Robotics Institute and the National Robotics and Engineering Center have been honored with the Best Paper Award at the 2024 IEEE Symposium on Safety, Security, and Rescue Robotics. Their award-winning paper, titled "Rapid Quadrotor Navigation in Diverse Environments Using an Onboard Depth Camera," showcases innovative advancements in drone navigation technology. The symposium, which focuses on enhancing safety and efficiency in robotics, provided a platform for experts to share cutting-edge research and developments in the field. This recognition highlights the researchers' contributions to improving robotic systems' capabilities in complex environments, underlining the importance of integrating advanced sensors for enhanced navigation.
Awards ResearchRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
