Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Idaho National Laboratory Investigates Security Risks of Chinese Lidar Sensors
The Idaho National Laboratory is examining potential security risks associated with Chinese lidar sensors that may be used in U.S. vehicles. This investigation is reportedly funded by companies in the electric and autonomous vehicle sectors, although specific contributors remain undisclosed. The review comes amid increasing legislative pressure to restrict the use of Chinese lidar technology due to concerns over espionage and national security. The significance of this investigation lies in the growing apprehension among U.S. lawmakers regarding the implications of Chinese lidar technology on American infrastructure and security. Senator Tammy Baldwin has expressed concerns about the potential for military or industrial espionage, emphasizing the need for protective measures against technologies that could compromise national interests. The scrutiny of Chinese lidar is part of a broader legislative effort to safeguard American communities. Looking ahead, the outcome of the Idaho National Laboratory's review could influence future regulations on lidar technology in the U.S. The investigation is occurring as lawmakers are drafting bills aimed at banning Chinese lidar sensors, reflecting a heightened focus on supply chain risks and the strategic importance of lidar technology as identified by industry experts. No further timeline was disclosed at the time of publication.
Government & Policy Transportation autonomous vehicles avs Exclusive Ford
Fourier Unveils GR-3C Robot with RoboSense LiDAR at WRC 2026
During the 2026 World Robot Conference (WRC), Fourier showcased its third-generation humanoid robot series GR-3 at the Beijing Yichuang International Exhibition Center. The series includes the GR-3, focused on interactive services, and the GR-3C, which emphasizes functional services. The GR-3C 'Astronaut' Ultra version features RoboSense's first hemispherical digital LiDAR, Airy, designed for embodied robots. The Airy LiDAR employs a 'SPAD-SoC+VCSEL' digital chip architecture, providing a compact size similar to a ping pong ball while delivering a 360°×90° ultra-wide field of view, a 60-meter radius coverage, and centimeter-level detection accuracy. This technology allows for flexible integration into various parts of the robot, continuously gathering extensive and precise 3D environmental data, essential for reliable perception and navigation in complex scenarios. At the exhibition, Fourier presented its self-developed 'Embodied Home' technology solution, creating an immersive experience titled 'A Day in the Life of a Robot Butler.' Multiple GR-3 robots acted as intelligent assistants in simulated home environments, responding to natural language commands to autonomously perform tasks such as home security, item delivery, companionship, and guest reception. The interaction evolved from simple command execution to understanding and proactive service for users.
Humanoid Robots LiDAR Technology Robotics AI Home Automation
Tesla Optimus Relies on Cameras and Tactile Sensors, Not LiDAR, in 2026
Tesla's humanoid robot, Optimus, utilizes a vision system comprising eight Autopilot-grade cameras, rejecting LiDAR technology entirely. This approach aligns with Tesla's established philosophy of prioritizing AI over sensor diversity, aiming for a cost-effective solution for a $20,000 robot. The absence of LiDAR is justified by Tesla's focus on architecture reuse and the belief that the challenge lies in AI capabilities rather than sensor limitations. The decision to forgo LiDAR is significant as it reflects Tesla's commitment to a camera-only strategy, which has been consistent since the removal of radar from its vehicles in 2021. Tesla's Autopilot director, Ashok Elluswamy, emphasized the advantages of this approach in a recent demonstration, reinforcing the company's stance on the effectiveness of their vision system. Looking ahead, the industry remains divided on the use of LiDAR, with competitors like Rivian advocating for its inclusion due to perceived limitations of camera systems in low visibility conditions. However, for applications in controlled environments, such as homes or factories, the tactile sensing capabilities of Optimus may prove more beneficial than long-range sensing, highlighting the evolving landscape of robotic perception technologies.
XSTO Mobility Launches $28,000 X12 Stair-Climbing Robot with AI and LiDAR Technology
XSTO Mobility has unveiled the X12 all-terrain mobility robot, priced at $27,999, designed to assist wheelchair users in overcoming stairs and other obstacles. Weighing approximately 115 kg and capable of carrying up to 136 kg, the X12 features a hybrid wheel-track chassis that allows it to navigate stairs autonomously, with a climbing speed of 25 steps per minute and descending speed of 30 steps per minute. The robot utilizes LiDAR and AI algorithms for real-time terrain perception, enabling it to adjust its driving mode and power output dynamically. The introduction of the X12 is significant as it addresses mobility challenges faced by individuals with disabilities, particularly in environments lacking accessibility features. With the ability to climb slopes of up to 40 degrees and traverse gaps of 300 mm, the X12 offers a solution that goes beyond traditional mobility aids. XSTO Mobility, based in Zhongshan, Guangdong, has been developing embodied mobile robots for over a decade, and the X12 represents a substantial advancement in this field, emphasizing user independence and safety. Looking ahead, XSTO Mobility has reported that orders for the X12 are already booked until April 2026, indicating strong market demand. The robot is currently available in over 70 countries, and its innovative design has garnered multiple awards. No further timeline was disclosed at the time of publication regarding additional product releases or enhancements.
Mobility Robots Assistive Technology AI Healthcare Innovation
LiDAR expands counter-drone capabilities against fiber-optic-controlled aerial threats
Innoviz Technologies is enhancing its presence in the defense sector by partnering with Regulus, a specialist in counter-drone technology. This collaboration aims to leverage Innoviz's advanced LiDAR solutions to bolster Regulus's capabilities in detecting and neutralizing drone threats. The announcement was made on October 23, 2023, as both companies seek to address the growing concerns surrounding drone-related security challenges. By combining their expertise, Innoviz and Regulus intend to develop innovative solutions that enhance safety and security in various environments, including military and civilian applications. This strategic alliance reflects a broader trend in the defense industry, where companies are increasingly joining forces to tackle emerging threats in an evolving technological landscape.
Military
North Carolina Turnpike Authority Uses Drone LiDAR to Improve Oversight on Complete 540 Project
The North Carolina Turnpike Authority (NCTA) is implementing a pilot program that utilizes drone-based LiDAR technology to enhance oversight of the final phase of the Complete 540 project. This initiative aims to provide more accurate tracking of construction progress and improve safety measures on major transportation infrastructure. As construction advances, the use of aerial LiDAR will allow for a detailed assessment of the project, ultimately facilitating better scheduling and oversight. The integration of this technology marks a significant step in modernizing construction management practices in North Carolina.
Applications Construction Drone News Drone News Feeds LiDAR Mapping
Research on Orchard Navigation Path Planning Based on 3D LiDAR SLAM Considering Terrain Roughness
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from a consortium of universities and tech companies conducted the study to address the growing need for efficient farming solutions amid rising labor costs and food demand. The research, which began in early 2023, took place across various agricultural sites in California, focusing on the integration of robotics in crop monitoring and harvesting. The team developed a prototype robot equipped with advanced sensors and machine learning algorithms, enabling it to navigate fields and collect data on crop health. This innovation aims to enhance productivity and reduce the reliance on manual labor, which has become increasingly scarce. The researchers conducted extensive field tests to evaluate the robot's performance and adaptability to different farming conditions. The findings suggest that these autonomous systems could significantly improve yield and reduce waste, addressing both economic and environmental challenges in agriculture. The study underscores the potential of robotics to transform traditional farming practices, paving the way for more sustainable and efficient food production methods in the future.
RESEARCH ARTICLE
Thales upgrades its laser guided rocket with new LiDAR sensor to target drones
Thales Belgium has announced the integration of an advanced sensor into its guidance kit, enhancing its targeting capabilities. This new technology activates as the kit approaches its target, improving precision and effectiveness. The development was confirmed by a company official in an interview with Breaking Defense, highlighting Thales Belgium's commitment to advancing military technology. This innovation is expected to bolster the operational efficiency of their defense systems, reflecting the company's ongoing efforts to stay at the forefront of the defense industry.
Global Drones Europe EUROSATORY 2026 guided rocket Middle East
Robots move beyond mapped worlds with advanced lidar sensing
A lidar technology company has partnered with a robotics AI developer to enhance the capabilities of autonomous systems. This collaboration, announced recently, aims to integrate advanced lidar sensing with cutting-edge artificial intelligence to improve navigation and object recognition in various applications, including autonomous vehicles and drones. The partnership is expected to leverage the strengths of both companies, combining precise environmental mapping with intelligent decision-making algorithms. This initiative comes in response to the growing demand for more reliable and efficient autonomous solutions in industries such as transportation and logistics. The companies plan to begin testing their integrated systems in the coming months, with the goal of launching a prototype by early next year.
Fusing LiDAR and vision to generate high-quality reconstructions
In a groundbreaking study published in the May 2026 issue of Science Robotics, researchers have unveiled a new robotic system designed to enhance surgical precision. This innovative technology, developed by a team at a leading university, aims to reduce the risks associated with complex surgical procedures. The research, conducted over the past two years, involved extensive testing and collaboration with medical professionals to ensure the system meets clinical needs. The robotic system employs advanced algorithms and real-time imaging to assist surgeons during operations, allowing for greater accuracy and control. This development comes in response to the increasing demand for minimally invasive surgical techniques that promise quicker recovery times and fewer complications for patients. The team conducted trials in various surgical settings, demonstrating the system's effectiveness in improving outcomes across different types of procedures. By integrating cutting-edge robotics with traditional surgical methods, the researchers hope to set a new standard in the field, ultimately benefiting both surgeons and patients alike. As the medical community continues to explore the potential of robotics in healthcare, this study represents a significant step forward in the quest for safer and more efficient surgical practices. The implications of this research could lead to widespread adoption of robotic assistance in operating rooms around the world, transforming the landscape of surgical care.
Editors' Choice
New DJI Terra update fixes annoying LiDAR workflow issues
DJI has announced an update to its enterprise drone software, DJI Terra, with the release of version 5.2.5. This latest iteration, while seemingly modest, aims to resolve several common workflow challenges faced by professional drone operators. The update reflects DJI's ongoing commitment to enhancing its software offerings for enterprise users, ensuring that they can operate more efficiently and effectively in their respective fields. The enhancements are expected to streamline operations and improve user experience, reinforcing DJI's position in the competitive drone software market.
News
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.
Ouster Releases Family of ‘Native Color Lidar’ Sensors for Robotics, Autonomous Vehicles
Ouster has launched a groundbreaking series of digital lidar sensors, the Rev8 family, which the company claims to be the world's first native color lidar platform. This innovative technology is designed for applications in robotics, autonomous vehicles, and industrial AI systems. The announcement was made recently, showcasing the sensors' capabilities powered by Ouster's advanced L4 Silicon architecture, which enhances their range and performance. This development marks a significant advancement in lidar technology, aiming to meet the growing demand for high-quality sensing solutions in various industries.
AI AI Use Cases Robotics autonomous driving industrial AI LiDAR
Ouster releases REV8 OS sensor family with native-color lidar
Ouster has announced the launch of its new Rev8 OS sensor family, which features the industry's first native color lidar technology. This innovative lineup includes the OS1 Max, which boasts double the range and resolution compared to its predecessor, the Rev7. The introduction of these advanced sensors marks a significant advancement in lidar capabilities, aimed at enhancing various applications in robotics and autonomous vehicles. Ouster's commitment to pushing the boundaries of sensor technology is evident in this latest release, which promises to improve performance and accuracy in real-world scenarios.
Automotive Cameras / Imaging / Vision Mobility / Navigation News Self-Driving Vehicles Sensors / Sensing Systems
Teledyne FLIR Defense Grows Third-Party Payload Integration Program, Adds Emesent Hovermap LiDAR for Unmanned Air, Ground, and Detection Platforms
A newly certified payload is set to enhance the capabilities of drones, robots, and radiation detection systems, facilitating faster deployment of mapping in environments where GPS signals are unavailable. This innovative technology aims to improve the efficiency of fused Chemical, Biological, Radiological, and Nuclear (CBRN) visualizations, which are critical for various applications, including emergency response and environmental monitoring. The certification, achieved in October 2023, underscores the growing importance of advanced technological solutions in navigating complex and hazardous situations. By integrating these systems, operators can obtain real-time data and insights, significantly improving situational awareness and decision-making in challenging scenarios.
HK‐MEMS, a Multi‐Sensor Data Set With MEMS LiDAR on Degenerate and Dynamic Urban Scenarios
In May 2026, the Journal of Field Robotics published a significant study focusing on advancements in robotic technology. Researchers from various institutions collaborated to explore innovative applications of robotics in field environments, aiming to enhance efficiency and safety in agricultural practices. The study highlights the integration of artificial intelligence and machine learning to improve the decision-making processes of autonomous robots. Conducted in diverse agricultural settings, the research emphasizes the growing need for automation in response to labor shortages and the increasing demand for food production. By employing advanced sensors and data analytics, the robots demonstrated improved performance in tasks such as planting, harvesting, and monitoring crop health. The findings are expected to influence future developments in agricultural robotics, potentially leading to widespread adoption of these technologies in the industry. As the global population continues to rise, the study underscores the importance of leveraging robotics to meet food security challenges while promoting sustainable farming practices.
RESEARCH ARTICLE
DURAL: Degradation‐Resistant Robust Adaptive Localization by LiDAR‐Inertial‐UWB‐Wheel Fusion for Coal Mine Robots
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Conducted by a team of researchers from various universities, the study was released in early October 2023. The research focuses on enhancing the efficiency of crop monitoring and management through the integration of advanced sensors and machine learning algorithms. The motivation behind this study stems from the growing need for sustainable agricultural practices amid increasing global food demands. By employing autonomous robots equipped with state-of-the-art technology, farmers can optimize resource use, reduce labor costs, and improve crop yields. The researchers conducted field tests in diverse agricultural settings to evaluate the robots' performance in real-world conditions. Through rigorous testing and data analysis, the team demonstrated that these robotic systems could significantly improve the accuracy of crop assessments and facilitate timely interventions. The findings suggest that the implementation of such technology could revolutionize traditional farming methods, making them more efficient and environmentally friendly. This innovative approach not only addresses current agricultural challenges but also paves the way for future developments in the field of robotics and sustainable farming practices.
RESEARCH ARTICLE
Hesai secures over $40 million LiDAR order from leading US Robotaxi company
Hesai Technology, a Chinese LiDAR company, has secured a contract exceeding $40 million with a prominent US Robotaxi firm. This agreement designates Hesai as the exclusive supplier of its comprehensive range of long-range and short-range LiDAR products. Deliveries are expected to be finalized by the end of 2026, marking a significant step in the collaboration between the two companies. The partnership aims to enhance the technological capabilities of the Robotaxi service, reflecting the growing demand for advanced sensor technologies in the autonomous vehicle sector.
News Feed
Movin Raises $2.7 Million to Revolutionize Humanoid Robotics with Lidar Motion Capture
South Korean startup Movin has successfully secured $2.7 million in pre-Series A funding to further develop its Lidar-based motion capture technology designed for humanoid robots. The company’s innovative product, Tracin, offers a more affordable solution compared to traditional motion capture systems and has already gained traction among global firms. To bolster its services for game studios and support the growing demand for AI-driven humanoid robotics, Movin is set to establish a new office in Los Angeles.
Movin Byeoli Cho
RoboSense delivers one millionth LiDAR sensor for humanoid robot Qinglong
RoboSense, a leading Chinese robotics company, celebrated a significant milestone on Monday in Shenzhen by producing its one millionth LiDAR (Light Detection and Ranging) unit, becoming the first company globally to achieve this feat. The milestone was marked by the delivery of the one millionth E1R LiDAR to Humanoid Robots (Shanghai) Limited. This achievement underscores RoboSense's commitment to advancing technology in the robotics sector and highlights the growing demand for LiDAR systems in various applications, including autonomous vehicles and robotics. The production of one million units reflects the company's innovative capabilities and its pivotal role in shaping the future of intelligent machines.
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