Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Luxonis closes Series A round to scale physical AI perception layer
Luxonis has announced its plans to increase production of its OAK camera and enhance its platform to better support robotics and industrial automation. This initiative follows the successful closure of its Series A funding round, which aims to bolster the company's capabilities in developing a physical AI perception layer. The funding will enable Luxonis to refine its technology and expand its market presence in the rapidly evolving field of AI and automation.
Agriculture Artificial Intelligence Cameras / Imaging / Vision Defense / Security Industrial Robots Logistics
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
Robust.AI selects Aptiv’s AI-powered perception system for next-generation Carter warehouse robot
Aptiv, an industrial technology company, has announced that Robust.AI, a developer of AI-driven warehouse automation, has selected Aptiv’s intelligent perception solutions, including AI and Machine Learning based sensor fusion powered by the Aptiv Pulse sensor for its Gen 3 Carter collaborative mobile robot. This selection builds on the companies’ existing collaboration to combine Aptiv’s proven […]
Computing News Sensors AI perception amrs aptiv
indie Launches Edge AI SoC to Power Smarter Perception Systems for Automotive and Humanoids
indie, an automotive solutions innovator based in Aliso Viejo, CA, has announced the launch of its next-generation edge AI system-on-chip (SoC), the iND881, designed to enhance smart camera technology for automotive and robotic applications. Unveiled on June 10, 2026, the iND881 integrates an AI compute engine with indie’s advanced low-latency multi-camera image signal processor (ISP), providing an efficient solution for developers. The iND881 is engineered for low power consumption and real-time responsiveness, featuring a Neural Processing Unit (NPU), a versatile Digital Signal Processor (DSP), and a quad-core ARM Cortex-A53 CPU. This architecture is tailored for demanding edge perception tasks, making it particularly beneficial for advanced driver assistance systems, including driver and occupant monitoring and smart mirrors with blind-spot detection. In addition to automotive applications, the iND881 supports robotics and physical AI automation, facilitating accurate sensing and navigation for autonomous mobile robots. The device's capabilities include multi-channel video compression, high-dynamic-range ISP, and compatibility with various sensor modalities such as infrared and LiDAR, ensuring robust performance in complex environments. The iND881 is ASIL-B compliant and automotive qualified, currently available for sampling. It will be showcased at the upcoming AutoSens and InCabin USA 2026 events. Fred Jarrar, indie's senior vice president, emphasized that the launch not only expands their product portfolio but also positions indie as a comprehensive solutions provider in the edge AI market.
Daimon Robotics and Galbot jointly launches RobOmni for benchmarking tactile perception and dexterous manipulation
Daimon Robotics and Galbot have announced the launch of RobOmni, a new platform designed to benchmark tactile perception and dexterous manipulation in the field of embodied AI. This development marks a significant shift from traditional vision-centric approaches to a more comprehensive understanding of physical interactions. The collaboration aims to enhance the capabilities of robots in performing complex tasks that require fine motor skills and sensitivity to touch. The launch event took place recently, highlighting the growing importance of tactile feedback in robotics and its applications across various industries. By integrating advanced tactile sensing technologies, RobOmni is set to provide researchers and developers with the tools needed to push the boundaries of robotic dexterity and perception.
Sponsored Content
Paris aims to become the European capital of Physical AI by 2026.
A new era of artificial intelligence is emerging, transitioning from the digital realm of generative AI to the physical world with the development of robots that can perceive, reason, and act in real environments. On July 7, Paris will host the inaugural edition of MACHINA 2026, an event aimed at establishing the city as the European capital of Physical AI. This initiative reflects a growing interest in integrating advanced AI technologies into everyday life, highlighting the potential for robots to enhance various sectors by interacting with their surroundings in meaningful ways. The event is expected to showcase innovations and foster discussions on the future of robotics and AI in society.
À la une IA Industrie Robotique 1X Robotics Agility Robotics
Chinese AI company offers a new solution for physical AI in the uncertain trillion-dollar market.
In 2026, the field of physical AI is set to emerge as a transformative force, following a consensus reached by industry leaders at the CES in Las Vegas, where NVIDIA's CEO Jensen Huang heralded the arrival of "physical AI's ChatGPT moment." Over the past two years, significant advancements have been made in five key areas: brain models, imagination engines, training environments, ontology, and commercial ecosystems, laying the groundwork for real-world applications. In the first half of 2026, global investment in physical AI surged, with over $6.4 billion raised in just the first quarter, including notable funding rounds from AMI Labs and World Labs. The industry is witnessing a clear technological divergence, with three primary paths emerging: Visual Language Models (VLM), Visual Language Action (VLA), and world models. The anticipated future architecture for physical AI is expected to integrate VLA's decision-making capabilities with world models' predictive simulations. Despite the rapid growth, the competitive landscape remains uncertain, with various companies pursuing different strategies, including those focusing solely on VLA or world models, and others exploring hybrid approaches. The ultimate goal is to develop AI that can effectively navigate and understand the complexities of the physical world, moving beyond mere reactive capabilities to proactive, autonomous decision-making. As the physical AI market is projected to expand significantly, reaching an estimated $3.26 trillion by 2040, the industry faces the challenge of ensuring that technology translates into tangible business value. Companies like Om AI are pioneering innovative models that prioritize continuous perception and spatial understanding, aiming to redefine how AI interacts with its environment. The ongoing evolution of physical AI emphasizes the importance of real-world applications and the need for AI systems that can adapt and respond to dynamic physical spaces.
Generations in Dialogue: Embodied AI, robotics, perception, and action with Professor Roberto Martín-Martín
The podcast "Generations in Dialogue: Bridging Perspectives in AI," produced by the Association for the Advancement of Artificial Intelligence (AAAI), presents engaging conversations among AI experts, practitioners, and enthusiasts of varying ages and backgrounds. Launched recently, the series aims to explore how different generational experiences influence perspectives on artificial intelligence. Each episode addresses the challenges, opportunities, and ethical dilemmas associated with the rapid evolution of this transformative technology. By fostering intergenerational dialogue, the podcast seeks to enhance understanding and collaboration in the field of AI, encouraging listeners to consider diverse viewpoints and the implications of AI advancements on society.
Aeva Delivers Atlas C-Samples to Daimler Truck for Autonomous Truck Production Program
Aeva, a prominent company specializing in advanced sensing and perception systems, has successfully delivered the initial C-sample units of its Aeva Atlas™ 4D LiDAR sensors to Daimler Truck North America and Torc Robotics. This delivery represents a significant milestone in the ongoing collaboration between the companies, aimed at advancing the series production of SAE Level 4 autonomous Class 8 trucks. The partnership underscores Aeva's commitment to enhancing autonomous vehicle technology, which is crucial for the future of transportation. The delivery of these sensors is a pivotal step in the development process, facilitating further testing and refinement of the technology necessary for achieving higher levels of automation in trucking.
AI AI Use Cases Robotics Autonomous Trucking collaboration Daimler Truck North America
Scientists reveal a tiny brain chip that streams thoughts in real time
Researchers have developed BISC, an ultra-thin neural implant designed to establish a high-bandwidth wireless connection between the brain and computers. This innovative device features a compact single-chip design that incorporates tens of thousands of electrodes, enabling it to support sophisticated AI models for decoding movement, perception, and intent. Initial clinical trials have demonstrated that BISC can be safely inserted through a small opening in the skull, where it remains stable while capturing intricate neural activity. This groundbreaking technology holds the potential to revolutionize treatments for conditions such as epilepsy, paralysis, and blindness, offering new hope for patients facing these challenges.
Teledyne FLIR OEM Expands Prism AI Platform with Ground ISR Software for Military Target Classification
Teledyne FLIR OEM has launched Prism™ Ground ISR, an advanced AI-powered software stack aimed at enhancing ground-based intelligence, surveillance, and reconnaissance (ISR) missions. This new software expands the capabilities of the existing Prism software family, which previously focused on counter-drone applications. The introduction of this technology marks a significant development in military target classification, leveraging AI, thermal imaging, and computational imaging to improve operational effectiveness. The announcement was made recently, highlighting the company's commitment to advancing ISR capabilities for military applications.
Applications Data analytics Defense defense Drone News Drone News Feeds
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
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
Orbbec shows AI-powered vision systems at Automate 2026
Orbbec showcased its latest industrial-grade 3D cameras designed for demanding automation environments during the Automate 2026 event. The company emphasized the integration of artificial intelligence to improve robotic perception, highlighting advancements that enable more sophisticated automation solutions. This presentation reflects Orbbec's commitment to addressing the complexities of modern industrial applications, aiming to enhance efficiency and accuracy in robotic systems. The event, which gathered industry leaders and innovators, provided a platform for Orbbec to demonstrate how its technology can meet the evolving needs of automation in various sectors.
Artificial Intelligence Artificial Intelligence / Cognition Automation Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Collaborative Robots
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
RoboScience Unveils Visics, a General-Purpose Embodied AI Model
On June 24, RoboScience, a Beijing-based company specializing in embodied intelligence, launched its new general-purpose embodied AI model, Visics. This innovative model is designed to enhance robotic capabilities by integrating advanced perception and decision-making processes. The unveiling took place in Beijing, showcasing Visics' potential applications across various industries, including healthcare, manufacturing, and service sectors. The development of Visics aims to address the growing demand for intelligent automation solutions that can adapt to complex environments and tasks. By leveraging cutting-edge technology, RoboScience seeks to position itself at the forefront of the AI revolution, offering tools that can significantly improve operational efficiency and effectiveness in diverse applications.
EmbodiedAI
XINMING Unveils R216g 3D Vision AI Module at Shanghai Conference
At the 2026 Zhangjiang Embodied Intelligence Developer Conference, XINMING unveiled its latest innovation, the R216g 3D Vision AI module. This cutting-edge technology is specifically designed for humanoid robots and collaborative arms, boasting advanced spatial perception capabilities that ensure high precision in complex environments. The introduction of the R216g aims to significantly improve the efficiency and reliability of physical AI applications across a range of industries, reflecting XINMING's commitment to advancing robotics and artificial intelligence.
3D Vision AI Humanoid Robots Collaborative Robotics Spatial Intelligence Industrial Automation
Could AI tell you where you left your keys?
Researchers have developed an innovative spatial memory system designed for robots, enabling them to effectively capture and retain detailed information about objects encountered during environmental exploration. This advancement, which leverages cutting-edge technology, aims to enhance the robots' ability to navigate and interact with their surroundings more intelligently. The system was introduced in a study published in October 2023, showcasing its potential to improve robotic perception and memory capabilities. By integrating sophisticated algorithms, the robots can now better recognize and remember various objects, ultimately leading to more autonomous and efficient operations in diverse settings. This breakthrough is expected to have significant implications for fields such as robotics, artificial intelligence, and automation, as it allows for more nuanced interactions between machines and their environments.
Research Computer science and technology Algorithms Artificial intelligence Machine learning Robotics
NVIDIA and LG Group build AI factory to train robots and power future mobility
Researchers and engineers are advancing the next frontier of artificial intelligence, focusing on the development of machines capable of movement, visual perception, and autonomous decision-making. This initiative, which has gained momentum in recent months, aims to enhance the functionality and adaptability of AI systems across various sectors, including healthcare, transportation, and robotics. The push for these advancements is driven by the increasing demand for intelligent systems that can operate in dynamic environments and perform complex tasks without human intervention. By integrating advanced sensors and machine learning algorithms, developers are working to create AI that not only processes information but also interacts with the physical world in real-time. This evolution in AI technology is taking place in research laboratories and tech hubs around the globe, with significant contributions from universities, private companies, and government agencies. As these entities collaborate, they are exploring innovative applications that could revolutionize industries and improve everyday life. The ongoing research is expected to culminate in prototypes and pilot programs by early 2024, showcasing the potential of these intelligent machines. As the field progresses, ethical considerations and safety measures are also being prioritized to ensure responsible deployment and integration into society. The ultimate goal is to create AI systems that enhance human capabilities and contribute positively to various aspects of life.
ORBBEC Expands Beyond Robot Vision Into Physical AI and 3D Printing
ORBBEC, a leading company in 3D vision perception, is broadening its horizons beyond its traditional focus on robot vision. The firm is strategically venturing into several high-growth sectors, including healthcare, smart retail, and autonomous driving. This expansion comes as part of ORBBEC's initiative to leverage its advanced technology and expertise to meet the increasing demand for innovative solutions in these emerging markets. The company aims to enhance its product offerings and capture new opportunities, positioning itself as a key player in the rapidly evolving landscape of 3D vision applications. As ORBBEC continues to innovate and diversify, it seeks to establish a strong foothold in these sectors, which are expected to see significant growth in the coming years.
Robotics
Robot solution provider serving Foxconn raises angel funding after six months of over 20 million revenue.
Shenzhen-based Chengwu Robotics has successfully completed its angel round of financing, backed by Taiwan's leading industrial automation and intelligent robotics firm, Chuan Technology, with Huajun Capital serving as the exclusive financial advisor. Founded in 2025, Chengwu Robotics focuses on the development of embodied intelligence technologies and product solutions for industrial applications, leveraging its integrated capabilities in hardware and software development, data collection, model training, and scene deployment. The company, led by founder Huang Jinlong, who has over a decade of experience in robotics R&D, aims to address the customization needs of non-standard industrial scenarios. Since its inception, Chengwu has delivered over ten industrial projects, generating over 20 million yuan in revenue by 2025 and serving major manufacturers, including Foxconn. Chengwu Robotics is also advancing its model development, with a focus on the Vision-Language-Action (VLA) model, which aims to enhance 3D perception and operational precision in complex environments. To address data collection challenges, the company has developed its own Egocentric-UMI data collection device and Bybot-TeleOp remote operation system, significantly reducing training and deployment times. The company is simultaneously developing a prototype upper-body robot equipped with advanced components to support its model training and industrial applications. Chengwu Robotics emphasizes its comprehensive capabilities and real-world delivery experience, positioning itself to create commercially viable solutions that meet client needs in various industrial contexts.
SAIC Group's First Humanoid Robot Employee Officially Starts Work
SAIC Group has unveiled its inaugural humanoid robot employee, named 'Nengzai No. 1', at the Buick E7 battery production line. This advanced robot features cutting-edge visual perception and precision handling capabilities, representing a pivotal advancement in the realm of intelligent manufacturing within the automotive sector. The introduction of Nengzai No. 1 underscores SAIC Group's commitment to integrating innovative technology to enhance production efficiency and streamline operations in a rapidly evolving industry.
Humanoid Robots Automotive Manufacturing Smart Manufacturing Industrial Automation
The World's Largest Embodied Haptic Dataset Launched: Daimon-Infinity - Open Source with 10x Training Efficiency!
In 2026, Daimon Robotics introduced the Daimon-Infinity dataset, which is recognized as the largest dataset of its kind, encompassing multimodal haptic data. This initiative, developed in collaboration with prominent research institutions, seeks to improve robotic tactile perception, a crucial aspect for advancing fine motor skills training in robotics. The dataset addresses a significant gap in haptic data availability, which is essential for enhancing the capabilities of robots in performing delicate tasks.
Haptic Technology Robotics AI Data Science
How agentic AI can enable general-purpose robotic navigation
Researchers are exploring the capabilities of agentic AI to enhance robotic navigation by integrating perception, simultaneous localization and mapping (SLAM), reasoning, and planning. This innovative approach aims to improve the performance of robots operating in dynamic environments. The findings were discussed in a recent article published by The Robot Report, highlighting the potential of agentic AI to transform how robots navigate and interact with their surroundings. By leveraging advanced algorithms and technologies, this method seeks to address the challenges faced by robots in real-world scenarios, ultimately paving the way for more versatile and efficient robotic systems.
Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Mobility / Navigation Motion Control
Ouster Brings Support for REV8 Digital Lidar to Robotics and Edge AI Ecosystem
Ouster has announced the integration of its Rev8 OS digital lidar technology with the NVIDIA Jetson platform, enhancing the capabilities of the NVIDIA Robotics ecosystem. This development, which aims to introduce native color lidar sensing, is set to advance the field of Physical AI. By leveraging the powerful processing capabilities of the Jetson platform, Ouster's technology will enable more sophisticated and responsive robotic applications. This integration marks a significant step forward in the evolution of robotics, allowing for improved perception and interaction with the physical world. The collaboration is expected to drive innovation and expand the potential uses of lidar in various industries, including autonomous vehicles and smart infrastructure.
Microsoft says it has over 20M paid Copilot users, and they really are using it
Microsoft announced on Wednesday that the user base and engagement levels for its Copilot feature are on the rise, countering the common belief that the tool is underutilized. The company highlighted that this growth reflects a broader acceptance and integration of Copilot into daily workflows, suggesting that more individuals and organizations are recognizing its value. This increase in usage comes as Microsoft continues to enhance the functionality of Copilot, aiming to better meet user needs and improve productivity. As of October 2023, the data indicates a positive trend in adoption, signaling a shift in perception regarding the tool's effectiveness and utility in various applications.
AI copilot ai Microsoft
Ultralightweight sonar plus AI lets tiny drones navigate like bats
Researchers at Worcester Polytechnic Institute have developed an innovative ultrasound-based perception system for small drones, enabling them to navigate effectively in low-visibility environments such as dark areas or dense groves of trees. This technology, inspired by the echolocation abilities of bats, enhances the navigational capabilities of aerial robots, which often struggle in challenging conditions. The project aims to improve the functionality of these drones, making them more versatile for various applications, including search and rescue operations, environmental monitoring, and agricultural assessments. By mimicking the natural echolocation process, the system allows drones to detect obstacles and navigate safely, potentially transforming their operational efficiency in complex terrains.
ShengShu Technology Unveils Motubrain: A Unified "World Action Model" to Solve the Robotics Scaling Problem
ShengShu Technology has unveiled Motubrain, an innovative robotic brain designed to integrate perception and action seamlessly. This new technology aims to surpass traditional Variable-Length Architecture (VLA) models in performance on global benchmarks. The announcement was made recently, showcasing ShengShu's commitment to advancing robotics and artificial intelligence. By creating a hardware-agnostic solution, Motubrain allows for greater flexibility and efficiency in robotic applications, potentially transforming various industries that rely on automation and intelligent systems. The development of Motubrain reflects the growing demand for more sophisticated robotic technologies that can adapt to diverse environments and tasks.
WAM China ShengShu Technology world-model MotuBrain
CVPR 2026 Showcases How AI Is Powering the Next Era of Robotics Innovation
The 2026 Conference on Computer Vision and Pattern Recognition (CVPR) is set to take place from June 3 to June 7 at the Colorado Convention Center in Denver, Colorado. This premier event, co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, will showcase groundbreaking advancements in artificial intelligence (AI) and robotics, highlighting how these technologies are transforming real-world applications. With a focus on embodied AI, multi-modal AI, and robotic perception, CVPR 2026 will feature workshops, technical paper presentations, and competitions, including the ManipArena Competition, which challenges participants to demonstrate physical reasoning and decision-making in real-world tasks. The conference aims to illustrate the rapid innovation in robotics and automation, with over 75% of the expo dedicated to leading AI and robotics companies that have collectively invested heavily in the field. As the global robotics market is projected to reach $124.37 billion this year, industry leaders will gather to discuss the implications of AI advancements on productivity and human-machine interaction. Grace A. Lewis, President of IEEE CS, emphasized the conference's role in bringing AI's potential to life, showcasing how these technologies are poised to reshape various industries. Media registration for the event is currently open, inviting participants to explore the future of intelligent machines.
Say Goodbye to Data Scarcity and Selection Challenges! Xinbai Te Unveils Comprehensive Data Collection Solutions for Embodied Intelligence
The 3rd China Embodied Intelligence and Humanoid Robotics Industry Conference is set to take place on April 18, where Xinbai Te Technology will unveil its partnership with UR Robotics. This collaboration aims to present a comprehensive robotic data collection solution, highlighting advancements in visual perception, motion teaching, and tactile control. The event promises to showcase the latest innovations in the field, reflecting the growing interest and investment in robotics and artificial intelligence technologies.
Robotic Data Collection Embodied Intelligence Collaborative Robots AI Technology
Training Driving AI at 50,000× Real Time
General Motors (GM) is advancing its autonomous driving technology by addressing the complex challenges associated with unpredictable road scenarios, known as the "long tail." This initiative is crucial as GM aims to achieve fully autonomous vehicles capable of navigating diverse environments safely. The company employs a combination of large-scale simulations, reinforcement learning, and advanced AI models, such as Vision Language Action (VLA), to enhance the decision-making capabilities of its autonomous systems. To prepare for rare and unexpected driving situations, GM conducts millions of high-fidelity simulations that replicate real-world conditions. These simulations allow engineers to test the vehicles against hazardous scenarios that would be difficult to encounter safely in reality. Additionally, GM utilizes innovative techniques like “Seed-to-Seed Translation” to generate synthetic training data, enabling the modeling of extreme weather conditions and traffic scenarios. The development process also incorporates a unique dual-frequency model that balances high-level decision-making with immediate vehicle control, ensuring quick responses to dynamic road conditions. Furthermore, GM's approach includes adversarial testing to identify potential safety risks by challenging the AI's perception capabilities. As GM continues to refine its autonomous driving technology, the company is focused on creating an ecosystem that integrates various learning methods and addresses the critical edge cases that will determine the readiness of autonomous vehicles for widespread deployment. This comprehensive strategy aims to enhance safety and reliability, paving the way for a future where autonomous driving can operate without human intervention.
Autonomous-vehicles Self-driving-cars Gm
The Path to AI Robots in the Home is Being Shaped in the Warehouse
Recent advancements in warehouse robotics are significantly propelling the development of artificial intelligence (AI) robots for home use. As companies invest in enhancing robotic technology, they are overcoming critical challenges related to safety, perception, and autonomy that have previously hindered the integration of robots into domestic environments. This acceleration in innovation is occurring against the backdrop of increasing consumer demand for smart home solutions, prompting researchers and engineers to focus on creating robots that can effectively navigate and operate within the complexities of everyday home life. By leveraging breakthroughs in machine learning and sensor technology, developers are working to ensure that these robots can perform tasks safely and efficiently, ultimately aiming to enhance the quality of life for users. The ongoing evolution in this field suggests that AI robots may soon become a common feature in households, transforming how people interact with technology in their daily routines.
CES 2026: world’s first wheel-legged robot vacuum designed to tackle stairs and multi-level homes
At CES 2026, Roborock introduced the G-Rover, a groundbreaking concept device that is being hailed as the world's first wheel-legged robot vacuum capable of navigating stairs and multi-level homes. This innovative prototype features a unique dual wheel-leg architecture, allowing each leg to lift independently and adjust its height for optimal maneuverability. Enhanced by advanced AI algorithms and 3D spatial perception technology, the G-Rover is designed to efficiently clean various surfaces and adapt to complex environments. The unveiling of this device highlights Roborock's commitment to pushing the boundaries of home automation and robotics, aiming to provide consumers with a versatile cleaning solution for modern living spaces.
News Feed CES 2026
Oceaneering Successfully Completes North Sea Field Trial of Ocean Perception Marine Wildlife Mitigation Solution
Oceaneering International, Inc. has successfully completed a field trial of its innovative Ocean Perception™ software, designed for marine mammal and wildlife mitigation. The trial took place in the Dutch sector of the North Sea aboard an offshore wind installation vessel, in partnership with client Van Oord. This initiative aims to enhance environmental protection measures during offshore operations, reflecting the growing commitment to sustainable practices in the renewable energy sector. The successful implementation of this technology demonstrates Oceaneering's dedication to minimizing the impact of offshore activities on marine life.
oceaneering ocean perception marine wildlife
Boston Dynamics' Atlas Tackles Complex Warehouse Tasks with Advanced Perception and Adaptability
Boston Dynamics has unveiled a new video featuring its all-electric Atlas humanoid robot executing a complex sequencing task in a warehouse environment. This demonstration, released recently, showcases significant advancements in the robot's dynamic perception and manipulation capabilities, as well as its ability to adapt to unpredictable changes and recover from errors. The company's ongoing efforts aim to enhance what they refer to as "physical intelligence," reflecting their commitment to pushing the boundaries of robotics technology.
Boston Dynamics
CMU and Partners Redefine Robotic Perception with NeuralFeels
A collaborative research effort involving Carnegie Mellon University, Meta FAIR, the University of California, Berkeley, the Technical University of Dresden in Germany, and the Centre for Tactile Internet with Human-in-the-Loop (CeTI) has led to the development of NeuralFeels, an innovative machine learning model. This model enhances robotic perception by integrating vision and touch sensing capabilities within a robotic hand, enabling it to reconstruct and track objects that are not directly visible. The initiative aims to advance the field of robotics by improving how machines interact with and understand their environments, addressing limitations of traditional sensing methods. The research findings were recently announced, showcasing the potential of NeuralFeels to redefine the capabilities of robotic systems in various applications.
Research
UBTECH Robotics Collaborates with the University of Hong Kong for Joint Research on Human-like Visual Perception
UBTECH Robotics has announced a partnership with the University of Hong Kong to advance research on human-like visual perception algorithms for service robots. This collaboration, which focuses on processing 3D point cloud data, aims to enhance the visual recognition capabilities of humanoid robots, thereby improving their precision in diverse environments. The initiative is part of UBTECH's broader strategy to apply advanced visual perception technologies in practical settings. In addition to the research efforts, UBTECH plans to establish subsidiaries in Hong Kong, intending to tap into local talent and drive innovation within the robotics sector.
Tactile Data Competition Begins: Qianjue's Gripper Transforms Robot Training
Qianjue Robotics has unveiled the XTac UMI G1, a groundbreaking wearable multi-modal data collection gripper aimed at addressing the challenges of embodied intelligence in robotics. The introduction of this innovative device comes in response to the industry's pressing need for high-quality tactile data, which is essential for training robots to perform complex tasks in real-world environments. By capturing detailed interaction data, the XTac UMI G1 seeks to bridge the existing gap between visual data and physical interaction, thereby enhancing the capabilities of robots. This development marks a significant step forward in improving robotic performance and adaptability in various applications.
Tactile Data Collection Robot Training Embodied Intelligence Robotics Technology
Sonair ADAR One 3D ultrasonic sensor is now safety-certified
Sonair has announced that its ADAR One 3D ultrasonic sensor has received safety certification as a human detection sensor, meeting the IEC 61496 standard for electrosensitive protection devices. This certification underscores the sensor's reliability and effectiveness in ensuring safety in various applications. The assessment reflects Sonair's commitment to adhering to international safety standards, enhancing the credibility of its technology in the market. The announcement marks a significant milestone for the company, as it aims to expand the use of its advanced sensor technology in diverse sectors.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development Logistics Manufacturing Mobility / Navigation
Kawasaki Robotics showcases 8-axis Physical AI robot and intelligent automation technologies at Automate 2026
Kawasaki Robotics unveiled its latest advancements in automation technology at the Automate 2026 trade show held in Chicago. The event, which took place recently, highlighted the transformative impact of robotics, artificial intelligence, machine learning, vision systems, and real-time control on industrial automation. A key feature of the showcase was the introduction of the new “RL030N” robot platform, which boasts eight degrees of freedom and is specifically designed for Physical AI applications. This innovation reflects Kawasaki Robotics' commitment to pushing the boundaries of automation and enhancing operational efficiency across various industries.
Industrial robots News Robotics 8-axis robot Automate 2026 BA013L
Teradar enters paid evaluation program with German automaker for terahertz vehicle sensing technology
Teradar, a company specializing in terahertz (THz) vision technology, has initiated a paid technical evaluation program with a leading German automotive manufacturer. This collaboration aims to assess Teradar's innovative sensing technology for potential integration into advanced driver assistance systems (ADAS) and autonomous driving platforms. The evaluation will specifically target challenging scenarios where traditional sensing technologies, including cameras, radar, and lidar, may face limitations. By exploring the capabilities of THz technology, both Teradar and the automotive manufacturer seek to enhance the safety and efficiency of future automotive systems.
Components Design Engineering adas advanced driver assistance systems automation news
From audio tapes to AI: Interview with TDK investment director Ankur Saxena
Artificial intelligence has emerged as a leading focus in technology investment, yet some investors caution that the robotics sector may misinterpret the implications of recent advancements in large language models and generative AI. Ankur Saxena, the investment director at TDK Ventures, the corporate venture capital division of TDK, has voiced concerns regarding this trend. He emphasizes the need for a more nuanced understanding of how these AI breakthroughs can be effectively integrated into robotics, suggesting that a simplistic application of AI principles could lead to misguided strategies in the industry. Saxena's insights reflect a broader debate among investors about the future direction of robotics in light of AI developments, highlighting the importance of critical evaluation in investment decisions.
Features Financials & Investments Technology ai hardware ai robotics Ankur Saxena
General Intuition in talks to raise $300M at around $2B valuation
A startup specializing in artificial intelligence is leveraging Medal's extensive dataset, which comprises 2 billion videos annually sourced from 10 million active users each month. This initiative aims to enhance the training of embodied AI and world models, utilizing the rich variety of visual content available. The training process incorporates data collected up until October 2023, allowing the AI systems to develop a more nuanced understanding of real-world scenarios and interactions. By harnessing such a vast and diverse dataset, the startup seeks to push the boundaries of AI capabilities, ultimately contributing to advancements in technology that can better interpret and interact with the world around us.
AI Fundraising ai agent Exclusive general intuition world models
Why robotics can’t advance without physical AI
Recent advancements in robotics are shifting focus from enhancing processors and mechanical designs to improving data quality, particularly through realistic training environments. This emerging field, known as Physical AI, emphasizes the creation of 3D assets and simulation environments that incorporate genuine physical properties. By accurately mimicking real-world behaviors, these simulations aim to enhance the training of robotic systems, enabling them to perform more effectively in various applications. As researchers and developers prioritize realistic data over traditional methods, the potential for breakthroughs in robotic capabilities is becoming increasingly evident. This evolution in robotics is expected to redefine how machines interact with their environments, paving the way for more sophisticated and adaptable technologies.
Artificial Intelligence Robotics ai robotics automation news Autonomous robots digital twins
Russian Trucks Get ‘Dazzle’ Paint To Throw Off AI-Enabled Drones
Russian military trucks have been equipped with a new type of disruptive paint aimed at confusing machine-vision targeting systems. This development comes in response to the increasing threat posed by autonomous drones on the battlefield. The innovative paint, often referred to as "dazzle" paint, is designed to obscure the vehicles' outlines and hinder the ability of AI-enabled drones to accurately identify and target them. As the use of drone technology continues to evolve in modern warfare, this strategic move reflects Russia's efforts to enhance the survivability of its military assets against sophisticated aerial threats.
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Fort Robotics acquires Mapless AI to expand supervised autonomy and physical AI safety platform
Fort Robotics, a company specializing in trust solutions for physical AI, has acquired Mapless AI, a prominent firm based in Boston and Pittsburgh known for its expertise in vehicle teleoperation and autonomy supervision. This acquisition marks a strategic move for Fort, enhancing its Trust Platform with two essential capabilities: remote human-in-the-loop teleoperation and onboard active safety. By integrating Mapless AI's technologies, Fort aims to broaden its commercial offerings and improve the safety and efficiency of autonomous systems. The deal underscores Fort's commitment to advancing the development of reliable and secure AI-driven solutions in the robotics sector.
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SLAMCORE SECURES $14M, BACKED BY INVESTORS INCLUDING ROCKWELL AUTOMATION, TO SCALE VISUAL AI ACROSS INTRALOGISTICS
Slamcore has successfully raised its total funding to $40 million, showcasing significant market growth by deploying its technology in over 30 facilities and scaling to hundreds of units within just two years. The company’s innovative Slamcore Aware and Alert solutions leverage proprietary artificial intelligence and stereo camera technology to enhance site safety and improve fleet efficiency. Notably, these advancements do not necessitate costly modifications to existing facilities or additional infrastructure. By effectively tracking vehicles in diverse industrial environments, Slamcore is amassing extensive datasets that are essential for developing the next generation of Physical AI.
Figure AI's robots can make a bed faster than you
Figure AI has unveiled a video showcasing two humanoid robots collaborating to make a bed, a task that challenges their coordination, vision, and dexterity. This demonstration highlights the advancements in robotics technology, particularly in the realm of complex, everyday activities. The video was released recently, emphasizing the capabilities of these robots in performing tasks that require a high level of precision and teamwork. As the field of artificial intelligence continues to evolve, such innovations aim to enhance the functionality of robots in domestic settings, potentially transforming how household chores are approached in the future.
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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.
Elistair Khronos Tethered Drone Joins France’s ORION 2026 Exercise
Elistair's Khronos automated tethered drone is participating in ORION 2026, France's largest joint military exercise in decades, which involves 12,500 troops and 1,200 drones. This significant event, aimed at enhancing multi-domain operations, is taking place from April 7 to April 30. The exercise showcases advanced military capabilities, with the automated DroneBox providing continuous aerial surveillance to support the operations. Elistair's involvement highlights the increasing integration of drone technology in modern military strategies.
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RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
