Oversonic brings RoBee R20 humanoid robot to Munich and Lisbon
Italian company Oversonic Robotics is showcasing its industrial humanoid robot RoBee R20 at two European tech events: electronica 2026 in Munich and Web Summit in Lisbon.
#Safety and reliability
Robotics & Automation NewsAI score2222 The Robot ReportAI score2222 Why predictive maintenance matters more as factories add robots
As factories deploy more robots, predictive maintenance uses equipment data such as vibration, temperature, motor current, torque, and controller alarms to identify early signs of wear in joints, reducers, motors, and controllers, so maintenance decisions are based on actual condition rather than a fixed schedule. IFR data shows that about 5 million industrial robots were in operation worldwide in 2025, up 11% year over year, and an unexpected failure of a single robot could affect an entire work cell and production line. Earlier warnings can reduce unplanned downtime, improve spare-parts planning, and make maintenance windows more controllable.
Robotics & Automation NewsAI score2222 Honda, Base 11 and Freelancer Launch $10,000 Challenge Seeking Factory Human-Robot Collaboration Solutions
Honda has partnered with Base 11 and Freelancer to launch the $10,000 "Automation for Good: The Advanced Manufacturing Challenge," seeking human-robot collaboration ideas for factories from US residents aged 18 to 26. Registration closed on October 31.
Robotics & Automation NewsAI score7171 ANYbotics begins deliveries of ANYmal X explosion-proof quadruped robot
ANYbotics has begun delivering its ANYmal X quadruped robot to industrial customers for autonomous inspection in potentially explosive environments such as oil, gas, and chemicals. Equinor and DSM-Firmenich are the first customers to receive it.
Robotics & Automation NewsAI score3131 Opinion: Supervised autonomy in robotics must be designed for the robot's worst day
Plus One Robotics CEO Erik Nieves argues that robots should be judged by their "worst day" rather than by smooth demonstrations, that is, by how they perform when facing situations they have never seen. The article advocates inventorying an exception list before deployment, defining the boundary between what the robot can handle on its own and what it must escalate, and having help requests carry information such as on-site images, number of attempts, and confidence. Nieves expects supervised autonomy to be the main shift in the next five years, and the ratio of supervisors to robots should be determined based on pilot data.
Tech Xplore RoboticsAI score3838 DTU joint project uses PVD coatings and metasurfaces to alter drone radar signatures
DTU is collaborating with Aarhus University, the Danish Technological Institute, and companies including TICRA and Arctic Unmanned to use physical vapor deposition (PVD) to produce ultrathin coatings that enhance or reduce drone radar reflection signals. Initial tests on simple shapes such as rectangular plates and cylinders achieved significant attenuation of reflected signals. The next step will be to adapt the method to drones with more complex geometries and test its radar detection effects in real environments. Another route in the project is to develop tunable artificial metasurfaces, which are said to potentially cost less to manufacture than PVD processing.
Reddit r/roboticsAI score1818 Independent developer builds offline voice-control "brain" for environmental robot simulation with Webots + Python
An independent developer has built an offline voice-control "brain" in Python for an environmental robot simulation in Webots, supporting Spanish, English, and Polish and able to answer with simulated sensor data such as temperature, humidity, air quality, and obstacles. It includes a safety lock: it shuts down when hazardous conditions are detected and can explain why it stopped when asked "Why did you stop?" It is currently simulation-only with no physical robot; the English and Polish questions in the demo are played as synthesized speech. The author is not selling it yet, is seeking feedback on use cases, and has set up a free waitlist.
arXiv cs.ROAI score7171 Onboard Dynamic Obstacle Avoidance System for Small Quadrotor UAVs Based on mmWave Radar
The authors propose the first mmWave radar-based onboard perception-and-control dynamic obstacle avoidance system for small quadrotor UAVs. The system combines a lightweight interacting multiple models (IMM) tracker with a control barrier function (CBF) controller that directly outputs evasive accelerations, and derives sufficient avoidance conditions relating sensing range, relative speed, and control delay.
arXiv cs.ROAI score7272 EvoPlan: An Evolutionary Neuro-Symbolic Robot Planning Framework with Spatio-Temporal Guarantees
EvoPlan proposes a neuro-symbolic planning framework that uses symbolic validity and constraints learned from data as guarantees, and can run on locally deployed open-weight models.
arXiv cs.ROFeaturedAI score8080 Learning-augmented robotic automation achieves cable insertion and soldering on motor production line
The study proposes Learning-Augmented Robotic Automation, a hybrid system that integrates learned task controllers and a neural 3D safety monitor into conventional industrial workflows to automatically perform flexible cable insertion and soldering on a motor production line. Using less than 20 minutes of real-world data per task, the system ran continuously for 5 hours 10 minutes without physical fencing, producing 108 motors with a 99.4% pass rate on product-level quality inspection, a takt time close to that of human workers with smaller cycle-time variation, and solder-joint quality comparable to that of skilled operators.
Why it matters: The paper reports data from continuous operation of learning-augmented industrial automation on a real production line for 5 hours 10 minutes, with 108 motors and a 99.4% pass rate, serving as a practical reference for learned control entering manufacturing.
arXiv cs.ROAI score5858 Adaptive collision sensitivity framework for efficient and safe human-robot collaboration
The authors propose an adaptive collision sensitivity framework that dynamically estimates collision force based on the effective mass (EM) of each robot link and uses it to decide whether to interrupt motion, instead of applying a fixed contact threshold to the whole robot. Experiments were conducted on a real UR10e robot with AIRSKIN sensitive skin and in simulation, supplemented by simulated experiments on a KUKA LBR iiwa using joint torque sensing. In a mock pick-and-place scenario including both transient and quasi-static collisions, production efficiency improved by more than 45% compared with the standard method.
arXiv cs.ROAI score6767 Paper finds sampling-based planning exploits human-preference rewards, proposes χ²-regularized MPPI correction
The arXiv paper "Goodhart in the Planner" measured how sampling-based control with rewards learned from human preferences performs on the true objective: on HalfCheetah, Hopper, and Meta-World's drawer-open.
arXiv cs.ROAI score5050 LACART: Lookahead-Augmented Collision Avoidance and Reference Tracking Strategies for Safety-Critical Robots
LACART combines lookahead-based control barrier functions (CBFs), a relaxed control Lyapunov function (CLF), and quadratic programming (QP) to modify nominal vehicle commands in a unified optimization layer, handling both circular obstacles and track boundaries.
arXiv cs.ROAI score6969 TPS-A*: Path Planning for Any-Shape Vehicles with Certified Collision Checking in Trajectory Parameter Space
The authors propose TPS-A*, a lattice planner whose edges are kinematically feasible trajectories produced by parameterized trajectory generators, with certified collision checking performed in trajectory parameter space. A grid precomputed per footprint needs only a single pass over local obstacles to return a certified free distance for every candidate trajectory, making the per-node collision cost independent of footprint complexity and trajectory count.
arXiv cs.ROAI score5858 Range-only HOCBF-QP framework enables safe circumnavigation by heterogeneous-orbit multi-robot systems
The paper proposes a safety-critical control framework for nonholonomic multi-robot systems that lets each robot circumnavigate a stationary target at a different orbital radius while maintaining spacing from neighbors and avoiding collisions. Each robot measures only its distance to the target and exchanges information only with its two adjacent robots; it drives the radius to the target value via acceleration, balances the formation via turn-rate, and uses a higher-order control barrier function quadratic program (HOCBF-QP) to simultaneously constrain target distance, geofence, and inter-robot safety.
arXiv cs.ROAI score6565 HomeLoop: A Robot-IoT Collaborative Simulation Framework and Benchmark for Home Assistance and Safety
The authors propose HomeLoop, a simulation framework and benchmark built on Isaac Sim that integrates robot bodies, networked devices and wearables, simulated residents, faulty sensors, and hazards that evolve over time within a single environment. The benchmark contains 20 tasks across 5 categories, where the same alert can have different causes. A runtime monitor uses temporal logic to score both the final outcome and process actions, and each action has a preset cost.
arXiv cs.ROAI score6969 CS-Pi: Constraint-Satisfying Flow Policy Sampling at Inference Time
CS-Pi proposes a "sample-project-renoise" flow-matching policy sampler that satisfies constraints absent from demonstrations at inference time while keeping actions plausible under the policy. The method projects each sample onto the nearest safe action, then adds noise back according to the size of the projection displacement and reruns the original policy until the sample is safe. On a 7-DoF shelf grasping task it achieves an 81% safe success rate, and 55% in zero-shot deployment on Franka, versus 55% and 40% for projection alone. The paper has been accepted to CoRL 2026.
OFweek RoboticsAI score6363 PetroChina Kunlun Manufacturing, Unitree and Fanjie Intelligence plan industrial embodied AI robot joint venture
PetroChina Group's Kunlun Manufacturing and Kunlun Capital signed an agreement with Unitree Robotics and Beijing Fanjie Intelligence to establish a joint venture focused on industrial embodied AI robot solutions. The PetroChina side will hold a combined 60% stake, while Unitree and Fanjie Intelligence will each hold 20%. The public notice period runs until November 13.
锐曼REEMANAI score3636 What Is an AMR Forklift? Navigation, Flexibility, and Factory Fit
AMR forklifts rely on onboard LiDAR and laser SLAM for mapping and localization, enabling autonomous path planning and obstacle avoidance without ground infrastructure such as magnetic tape, guide wires, or reflectors; route changes are usually made via software. The REEMAN Ironhide 3.0 is a 1.5-ton autonomous forklift with ±5 cm pick-and-place accuracy on 1.2 × 1.2 m pallets, 6 hours of runtime at full load and 8 hours empty, and a maximum mapping area of 40,000 m².
Robotics 24/7AI score4242 Kassow Robots, Joytek, Bosch Rexroth and Reply showcase AMR cobot automated kitting system
Kassow Robots, Joytek, Bosch Rexroth and Reply have jointly developed an automated kitting system for automotive manufacturing that combines a Joytek AMR carrying two Kassow KR1018 seven-axis collaborative robotic arms with a unified control architecture.
NASAAI score5858 NASA announces Moon Base transportation, technology, and science project contracts
NASA announced a series of Moon Base contracts and mission updates, covering commercial robotic cargo delivery, the nuclear-powered rover PROMISE, launch and orbital transfer services, and lunar surface infrastructure.
arXiv cs.ROAI score6060 GhostTac: Contactless Manipulation of Robot Tactile Sensors via Electromagnetic Interference
GhostTac proposes a contactless attack that exploits the nonlinear rectification and limited-bandwidth amplification effects of electromagnetic interference (EMI) to convert carefully crafted EMI signals into a persistent DC offset, bypassing on-board filtering and causing stable measurement deviations. The authors verified the attack's consistency across 15 tactile sensors of different types on 10 sensor modules and 2 dexterous hands, and demonstrated real-world impact through three case studies: tactile grasping, slip detection, and material classification. For example, it could cause a domestic robot to exert excessive force. The work has been accepted to ACM CCS 2026.
arXiv cs.ROAI score3131 Persona-based MLLM evaluation: how robot type and time of day affect perceived safety on urban streets
The study used 18 images of Seoul streets (split across daytime/nighttime, road class, and three conditions: no robot, delivery robot, or humanoid robot), having two multimodal large language models, Qwen3.8-27B and Gemma4-26B, each conditioned on 500 synthetic personas, choose the safer image in each pair, and compared the results with 25 human respondents.
arXiv cs.ROAI score6262 ConDR: Conservative Reachability Analysis with Neural Hamilton-Jacobi Subsolutions
ConDR proposes a method for learning subsolutions of the Hamilton-Jacobi-Isaacs variational inequality, so that the learned unsafe set contains the true unsafe set, thereby reducing cases where unsafe states are misclassified as safe.
arXiv cs.ROAI score5858 Study: Effects of haptic feedback on operator cognition and behavior in ROV teleoperation
A study accepted to IEEE Telepresence 2026 had ROVs face controlled cross-currents in in-water experiments, conveying environmental information to operators through a soft vibrating haptic touchpad. Results showed that encountering an unforeseen cross-current significantly increased operators' physical and temporal demand, and haptic feedback mitigated these burdens and improved self-assessed performance, but also brought the highest mental demand and frustration; nevertheless, operators drove the ROV significantly faster under the haptic condition than under the current-information-only condition.
arXiv cs.ROAI score5252 Detecting Silent Action-Interface Mismatch with Calibrated Relational World Models
The paper studies using learned state-action-effect relations as offline contracts to detect action-interface mismatches that are compliant in shape and range but semantically wrong (axis permutation, sign inversion, rotation rescaling, gripper polarity reversal), and to rank the fields likely to be at fault.
arXiv cs.ROAI score3939 OUCH: Objective, Uniform, Controlled Haptic Stimulation Wrist-Worn Device for Automated Neurological Assessment
OUCH is a wrist-worn pneumatic haptic stimulation device that uses stacked pneumatic pouch actuators, a rigid indenter, and a compliant spacer designed to buckle at a set load, so that the indenter contacts the skin only during actuation. At 200 kPa pouch inflation pressure, its indenter's contact pressure is estimated to reach 18,500 kPa, more than 25 times that of a commercially available handheld pressure algometer tip, while requiring less total force. In preliminary perceptual testing, the force required for this indenter to elicit discomfort was about 89% lower than that of the pressure algometer, providing a basis for controllable, repeatable noxious stimulation at the wrist.
川崎重工AI score5656 Kawasaki Heavy Industries launches F Series Controller S-type industrial robot controller with enhanced cybersecurity
Kawasaki Heavy Industries has launched the F Series Controller S-type controller for industrial robots, strengthening cybersecurity functions while inheriting the F series' operability and expandability. The controller supports username-password authentication, access permission management, operation log recording, and secure communication protocols such as SSH, FTPS, and HTTPS, and performs integrity checks at OS startup and application execution.
NASAAI score5858 NASA SPLICE navigation experiment completes simulated lunar landing test flight
At Rogers Dry Lake in Edwards, California, NASA completed simulated lunar descent and landing maneuvers using an Alta-X drone carrying the SPLICE guidance, navigation, and control payload. The SPLICE payload uses its guidance system to map terrain and assess landing zones, redirecting to a safer location when it determines the target area is unsafe, and generates high-resolution digital elevation maps from light detection and sensor data.
PALAI score5050 PAL Robotics launches ARAL humanoid logistics project, plans to complete real warehouse pilot by May 2027
PAL Robotics announced the ARAL project, funded by the EU's EIC, to develop a humanoid robot capable of working in existing warehouses based on the bipedal humanoid research platform KANGAROO, with the first phase aiming to advance from TRL 4 to TRL 5.
IEEE RASAI score2727 IROS 2026 plenary: NASA, JAXA and academia discuss space robotics
An IROS 2026 plenary session focused on space robotics, with experts from NASA, JAXA and academia discussing the roles of robots in lunar exploration, human spaceflight and in-orbit operations. After pausing the Gateway program, NASA shifted to the MoonBase project, with an initial operating capability targeted for 2029; robots will be needed to build modules, transport supplies and enable in-situ resource utilization. JAXA's MMX mission sampling robot needs to collect more than 10 grams of regolith in under a minute.
电子工程专辑 · 微信公众号AI score5555 In the First Year of Mass Production for Humanoid Robots, Why Joint Testing and the Path from Simulation to Real-World Validation Determine Success
The article notes that humanoid robots are moving from demonstrations to mass production, but the manipulation success rate drops sharply from 89.4% in simulation environments to 12% in real home scenarios, and reliability must be supplemented by a testing system. Integrated joint modules account for about 40% of the BOM cost of the complete machine, and GB/T 43200-2023 has provided a testing framework in four categories: motor performance, control performance, positioning accuracy, and mechanical performance. NI uses a cRIO joint test bench and a hardware-in-the-loop simulation solution based on Isaac Sim, PXI, and RDMA to try to insert an HIL stage between pure simulation and real machines, narrowing the gap in migration from simulation to reality.
移动机器人产业联盟 · 微信公众号AI score5858 KUKA launches KMP L series AMRs, pallet handling solution, and AMR software 3.0 platform at CeMAT ASIA 2026
KUKA Mobile Robotics unveiled three core offerings at CeMAT ASIA 2026: the KMP L series underride lifting mobile robots, a one-stop pallet handling solution, and the KUKA.AMR software 3.0 platform, as the implementation of the "KAI" intelligent platform in warehousing and logistics scenarios.
OFweek RoboticsAI score5858 Unitree G1 overheats and withdraws from Mount Tai climb: why humanoid robots can't handle mountain climbing
On November 2, at the first CMG World Robot Mount Tai Climbing Competition, the Unitree G1 developer edition withdrew due to overheating and was carried down the mountain by staff on a stretcher. The author argues the problem is not just cooling components, but a zero-sum contest inside the chassis among compute, battery, and heat dissipation for limited space and power. The G1 has a 9000mAh battery and a runtime on the order of about two hours; during continuous ascent, joint motors sustain high-torque output, accelerating thermal degradation. The article also cites CAICT report data: in the first half of the year, global humanoid robot shipments exceeded 22,000 units, with more than 60% going to entertainment performances and science education/data collection, while intelligent manufacturing scenarios accounted for about 13%.
Robotics & Automation NewsAI score2222 Opinion: What happens when the robot is wrong?
Amid an accelerating automation trend with more than 5 million industrial robots in operation and the new ABB IRB 1700 model cutting cycle times by up to 20%, factories need to rehearse during commissioning how operators can safely question machine judgments. It is recommended to introduce three types of drills—false alarms, conflicting instructions, and shift handovers—and to record metrics such as challenge response time and decision arrival time. Safeguards, emergency stops, and risk assessments must still remain independent and take priority.
Reddit r/roboticsAI score3636 NIOSH construction-site robot perception and navigation projects: masonry robot collision avoidance and aerial fall-risk identification
Two NIOSH projects use computer vision to detect potential collisions while a masonry robot assists workers in placing concrete blocks, and to identify workers, equipment, and openings that may create fall risks from aerial video. Both scenarios are affected by dust obscuring sensors, lighting changes within a shift, and equipment and building materials blocking camera views; mobile robots also face uneven ground and changing temporary pathways. The NIOSH bulletin recommends tracking sensor failures, localization failures, and manual takeover frequency during deployment, and distinguishing between using cameras to flag hazards for review and relying on them for shutdown protection.
图灵人工智能 · 微信公众号AI score4040 Tsinghua Professor Deng Zhidong: Physical AI Has Not Yet Had Its ChatGPT Moment; World Models Are Key
Tsinghua University professor Deng Zhidong believes physical AI as a whole is still in an early exploratory stage and has not yet had its own ChatGPT moment; robots being able to run and dance does not mean they can enter homes to care for the elderly. He proposes that the key to a breakthrough lies in world models: letting AI rehearse consequences and costs before executing actions, combined with tasks and human intent, with evaluation criteria being generality, task success rate, and generalization ability. He also suggests connecting cloud, edge, and devices through mobile communications and deploying shared computing power at the edge to ease cost and power consumption pressures on device-side computing.
Robotics & Automation NewsAI score7272 BMW and Embotech use Automated Driving In-Plant to move 1 million vehicles
The BMW Group and Embotech say they have used Automated Driving In-Plant technology to move a cumulative 1 million vehicles at four production sites in the UK and Germany, with roughly 3,500 vehicle movements per day and availability above 99.5%.
GuyuehomeAI score3030 Foot Force Control or Position Control: A Troubleshooting Record of the Root Cause of the Humanoid Robot's Loud Landing Thuds
Addressing the issue of loud thuds when a humanoid robot lands, the investigation points to the difference in choosing between foot force control and position control. The article presents the root-cause diagnosis process for this abnormal noise in the form of a troubleshooting record, for developers to compare against their own control schemes.
雷科技AI score3838 Kyland Technology Showcases Physical AI and Fully Domestic Robot Electronics Architecture at 2026 China Automation Congress
At the 2026 China Automation Congress, Kyland Technology exhibited its Physical AI solutions and a fully domestically produced embodied intelligent robot electronics architecture. The architecture integrates the Hongdao Intewell industrial operating system, the AUTBUS deterministic industrial bus, MaVIEW agent tool software, and domestic AI processor chips. In on-site technical tests organized by the National Industrial Information Security Development Research Center, robots equipped with this architecture passed tests related to fault isolation, cybersecurity, and real-time control under scenarios including joint power loss, simulated network flooding attacks, and simulated Trojan virus infections.