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#Safety and reliability
Nov 2Mon
  1. 雷科技38

    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.

  2. arXiv cs.RO52

    Detect and Suppress: A Mechanistic Defense Against Adversarial Patches on VLA Models

    The authors use a sparse autoencoder (SAE) to analyze the internal representations of a VLA model, identify a feature whose activation strongly correlates with the presence of adversarial patches, and suppress that feature at inference time only when a linear probe detects an attack, thereby improving robustness without fine-tuning the VLA. In adversarial patch attack tests on LIBERO-10, conditional intervention improved the success rate under intermittent attacks, whereas continuously applying the same intervention substantially degraded policy performance.

  3. arXiv cs.RO62

    AlphaAdj: A Robot Navigation Framework That Adaptively Tunes Control Barrier Functions with Vision-Language Models

    The authors propose AlphaAdj, a vision-to-control navigation framework that uses first-person RGB observations and a vision-language model (VLM) to adjust the conservativeness of control barrier functions (CBFs) according to visual semantic context. The VLM outputs a scalar contextual caution signal that dynamically modulates the CBF parameter alpha, while a geometry- and speed-dependent cap bounds how aggressive the behavior can be. To cope with VLM latency, inference and the control loop run asynchronously, and the semantic signal is taken directly from token-level output probabilities rather than from full autoregressive text generation.

  4. arXiv cs.RO56

    Specification-aware action distribution optimization framework for robotics foundation models

    The paper proposes a specification-aware action distribution optimization framework that enforces a class of Signal Temporal Logic (STL) constraints at execution time without modifying the parameters of a pretrained robotics foundation model. At each decision step, the method reasons over the remaining horizon via forward dynamics propagation to compute a minimally modified action distribution that satisfies a hard STL feasibility constraint, and it is validated in simulation with state-of-the-art robotics foundation models across multiple environments and complex specifications.

  5. arXiv cs.RO72

    CHOP: Counterfactual human preference labels improve obstacle avoidance in visuomotor navigation policies

    The authors propose CHOP, which fine-tunes visuomotor navigation policies with counterfactual human preference labels to align them with human intuition about safety and obstacle avoidance. On the SCAND dataset, multiple advanced models fine-tuned with CHOP reduced near-collision events by an average of 49.7%, decreased deviation from human-preferred trajectories by 45.0%, and increased average obstacle clearance by 19.8%.

  7. arXiv cs.RO34

    Robot Navigation and Canine Welfare: A Pilot Study Surfacing Challenges for Cross-Species Legibility and Proxy Validity

    A pilot study in a real home environment evaluated a "curve-out" navigation maneuver for canine welfare: a lateral arcing pass-by trajectory triggered at the dog's alert distance. Contrary to the hypothesis, the maneuver elicited a stronger stress response than a straight-line baseline. The authors argue that the maneuver's discontinuous execution, with the robot stopping and reorienting multiple times to approximate the arc, undermined behavioral legibility, which itself became a stressor. The study thus raises the legibility of robot behavior to non-humans and proxy stimulus validity as structural challenges for animal-machine interaction (AMI).

  8. arXiv cs.RO40

    How a team that cannot communicate learns its own state from an opponent's reactions

    A game theory and multi-agent study proposes that a team unable to communicate can learn information no single member can see by reading the opponent's reaction to the group as a whole (a tell); one tell can substitute for messaging among all members. In a solved Gaussian model, the team obtains the truth by committing not to use all of the information, and retains the hidden cost the opponent would have paid; an exact test can determine when this conclusion holds in finite games. The study also analyzes how trust is allocated, noting that two interchangeable members responding in different ways can substitute for a single member's private random source.

  9. arXiv cs.RO71

    ROOF: A Learning Method for Humanoid Fall Recovery in Overhead-Constrained Environments

    ROOF proposes a reinforcement learning method with contact-supported geometric escape guidance that enables proprioception-only humanoid robots to first create clearance and then complete the rise under overhead obstacles. In simulation, the recovery success rate was 88.5% under plates that can only be lifted, compared with 18.9% without geometric guidance; it was 98.6% under free plates with randomized size, mass, and placement. After deployment on a Unitree G1, the policy successfully recovered in 95 of 150 attempts across seven real-world obstacle scenes, including furniture and multi-object arrangements not seen in training.

  10. arXiv cs.RO62

    VLA policies still start executing without instructions: research on unintended task execution and start suppression

    The study applied five types of instructions—empty, neutral, meaningless, infeasible, and wrong-task—to six model checkpoints in the LIBERO-Goal simulation, holding the initial state fixed and varying only the instruction, to examine whether the VLA policy starts, which task it completes, and what the instruction determines.

  11. arXiv cs.RO58

    AC-SMPC: Differentiable Actor-Critic MPC with State Constraints for Safe and Fast Robot Navigation

    The authors propose AC-SMPC, an actor-critic model predictive control framework with state constraints for safe navigation in constrained dynamic environments. The method represents the robot and obstacles as vertices and the workspace as half-spaces, locally linearizes the nonlinear dynamics, and convexifies hyperplane-based collision avoidance constraints into a differentiable MPC layer; the actor adjusts MPC objective parameters via closed-loop feedback, while the critic evaluates long-term task performance.

  12. arXiv cs.RO66

    SAFARI: Semantic- and Frontier-Driven Autonomous Risk Inspection Framework

    SAFARI treats object detection as a native channel of a unified probabilistic map, letting geometric and semantic evidence jointly drive exploration and planning. The authors completed 11 missions on a quadruped platform across three field sites, achieving an average coverage of 98.7% of the accessible mission area, with 97.6% of mission time requiring no operator intervention, and detecting objects with characteristic dimensions as small as 15 cm. Ablation experiments show that object-size awareness and safety-aware path planning are critical for hazardous-object search.

  13. arXiv cs.RO60

    Joint-Health-Aware Reinforcement Learning Framework for Robust Control Under Actuator Degradation

    The study proposes a joint-health-aware reinforcement learning framework that encodes actuator condition in a continuous joint-health vector and uses HealthNet to estimate each joint's health from recent observations and actions, allowing the policy to redistribute control effort across healthy and degraded joints.

  14. arXiv cs.RO59

    TRACE: Target-State Risk-Gated Execution for Embodied Visual Tracking

    The research team proposes TRACE, an execution-time target-state risk gate that intervenes selectively while keeping the learned policy unchanged. They first used PPO to update only the planning head of a 0.6B VLA tracker; success and following rates improved across all three EVT-Bench settings, but the collision rate rose in distracted tracking scenarios.

  15. arXiv cs.RO66

    CC-HGCBF: Zero-Shot Safe Navigation for Heterogeneous Mobile Robot Teams

    The authors propose the Capability-Conditioned Heterogeneous Graph Control Barrier Function (CC-HGCBF), which provides a unified safety representation for robots with differing kinematic and actuation capabilities in a shared second-order reference-point operational space. The method introduces the Radial Capability Field (RCF), which characterizes each robot's state-dependent finite-horizon reachable velocity set in a fixed dimension, enabling the shared graph barrier and decentralized policy to adapt to changes in state, kinematic constraints, and control limits without predefined robot identities.

  16. arXiv cs.RO60

    CA-BRF: A Capability-Aware Backup-Recoverability Filter for Heterogeneous Multi-Robot Navigation

    The authors propose a Capability-Aware Backup-Recoverability Filter (CA-BRF) that constructs a backup-recoverable set in a shared Cartesian operational space and uses it to screen candidate controls, so that each robot retains a certified recovery maneuver consistent with its own kinematic and actuation constraints. The method selects admissible interpolations between candidate and backup actions and coordinates simultaneous interactions, thereby guaranteeing recursive feasibility and safety of the discrete-time closed-loop system even when the nominal safety-constrained optimization is infeasible. Simulations cover up to 30 heterogeneous robots, and experiments involve five distinct kinematic classes.

  17. arXiv cs.RO60

    Veloxity: Memory-Safe UAV Embedded Firmware Written in Rust

    The authors present Veloxity, an open-source embedded UAV autopilot written entirely in the memory-safe Rust language, offering a minimal, modular foundation for autonomous drones. They compared it with equivalent C++ autopilots in simulation, on hardware testbenches, and in outdoor waypoint-tracking flight tests; the results showed functional parity with improved performance, indicating that memory-safe languages can be used for reliable, high-performance autonomous aerospace firmware.

  18. arXiv cs.RO55

    Confidence-Modulated Safety Filtering for End-to-End Policies

    The authors propose a filter-agnostic pipeline that modulates the conservativeness of a safety filter at runtime using policy confidence: inside the filter's operational design domain (ODD), confidence is traded for performance; beyond the ODD, low confidence yields additional safety margin. Preliminary F1TENTH simulations show that the modulated filter combines the strengths of permissive and conservative filters.

  19. 电子工程专辑 · 微信公众号42

    Humanoid robot Apollo has entered factory testing, and the "brain" is not what determines success

    Apptronik's Apollo humanoid robot has been combined with Google DeepMind's Gemini multimodal reasoning capabilities and is being tested on production lines at Mercedes-Benz, Jabil, and others for tasks such as moving packages, picking parts, and quality inspection. Apollo is about 1.73 meters tall with a 25 kg payload, equipped with 30 actuators and fused perception from stereo depth cameras and LiDAR, and uses swappable batteries for about four hours of runtime with a two-minute battery swap. Conroy emphasized that data collection and scaling compute are driving physical AI to cope with environmental changes, but general autonomy remains a longer-term goal.

Nov 1Sun
  1. The Robot Report55

    VicOne Finds 28 Zero-Day Vulnerabilities in Two Days Across Physical AI Ecosystem Tools

    Using AI-assisted research, VicOne discovered 28 zero-day vulnerabilities in less than two days in software and tools related to the Physical AI ecosystem, involving projects developed or maintained by Google, NVIDIA, Meta, and others. All were initially verified and classified as zero-day vulnerabilities, and some do not yet have CVE IDs.

Oct 31Sat
  1. 锐曼REEMAN42

    How Can Autonomous Forklifts Turn Existing Stretch Wrappers into Automated Packaging Workstations? — REEMAN Ironhide Wireless Docking and Jingmen Factory Deployment

    REEMAN outlines an approach for retrofitting existing stretch wrappers using Ironhide autonomous forklifts: the forklift handles pallet pickup, placement, and warehouse transport, while the stretch wrapper continues to perform packaging, requiring a machine control interface, status feedback, and safety interlocks. In its wireless docking demonstration, pickup alignment deviation was within 2 cm and turntable placement deviation was within 5 cm, with the demonstration process taking about 6 minutes. There is also an Ironhide 3.0 deployment at a factory in Jingmen, Hubei; the two applications are independent of each other, and the data comes from REEMAN application materials and has not been independently verified.

  2. 爱范儿58

    Exin Therapeutics has AI agent perform brain surgery on mouse, refusing to proceed midway due to calibration anomaly

    Exin Therapeutics used an Arduino-modified surgical platform to let an AI agent complete a brain injection in a mouse; the agent selected the gene therapy vector and injection coordinates itself, injecting 250 nanoliters of solution within five minutes. A connection interruption caused the Y-axis target position to deviate 34 millimeters from the bench, and the agent refused to retry twice citing calibration issues, so the team ultimately modified the code manually. The craniotomy was still performed by a human, a licensed veterinarian held a physical emergency stop switch on site, and the entity that ultimately performed the surgery was Sonnet 5.

  3. Robotics & Automation News55

    AstraQua wins $1.27 million NASA Phase II contract to advance AstraSense physical AI

    AstraQua has received a $1,274,990 NASA Phase II contract to advance its AstraSense technology for electric and hybrid-electric aircraft, including advanced air mobility. Built on its Agentic Physical AI and Adaptive Quorum Foundation Model, AstraSense provides predictive health and operational self-awareness for autonomous systems and has already run on robotic hardware.

  4. Reddit r/humanoidrobotics8

    Concept idea: Replace brain implants with an external head-mounted micro-drone companion controlled by remote or neural signals

    A user proposed an external head-mounted micro-drone companion concept, worn via a headband, hat, or frame, to avoid the surgical risks and approvals of brain-computer interface implants. The design uses ducted fans with safety mesh guards to protect hair, ears, and skin, and relies on proximity sensors and gyroscopes combined with AI to achieve stable hovering that moves with the head; control is via a small remote-control pad or surface neural/gesture signals. The poster asked the community about engineering and safety challenges such as battery weight, noise near the ears, and wind-disturbance stability.

Oct 30Fri
  1. 机器人全球资讯 · 微信公众号40

    Unitree H2-X Humanoid Robot Fails Side Somersault Demo, Mechanical Lower Leg Detaches

    During a live demonstration at the "2026 World Physical AI Conference and Unitree Partner Ecosystem Conference," Unitree Technology's H2-X humanoid robot, just released on October 21, lost balance and fell sideways while attempting a side somersault landing, and one mechanical lower leg detached from its connection point. The robot is officially named "H2-X Kung Fu Legend Guardian" and is positioned for security and emergency rescue scenarios, with a maximum battery life of about 8 hours. Official promotional videos have shown it kicking in car doors, lifting vehicles, and performing a somersault after jumping down from a platform about 4 meters high. As of the time of reporting, Unitree Technology had not commented on the incident.

  2. 维科网机器人 · 微信公众号42

    Xuanyuan's Embodied-Intelligence Special Robots Extend from Petrochemical Explosion-Proof Inspection to Urban Gas Stations

    Xuanyuan has extended its explosion-proof inspection robots, already delivered at scale to chemical enterprises such as Wanhua Chemical, to urban gas pipeline networks; the solution has been put into operation at a gas station. The robot first scans and builds a model to calibrate instrument and valve points, then automatically inspects on a periodic basis via the backend, integrating image-based meter reading, infrared thermal imaging for temperature measurement, and gas-sensor leak detection; its four-wheel, eight-drive omnidirectional chassis can pass through narrow passages and recharge autonomously. On-site data is transmitted back to the central control in real time, anomalies are flagged by the system and reviewed by on-duty personnel, and manual steps remain in risk handling.

  3. 中国机器人网 · 微信公众号58

    Guangzhou Baiyun Releases Investigation Report on Fatal Crushing Accident Involving Wanbao Special Refrigeration Robotic Arm

    The Baiyun District government of Guangzhou has released the investigation report on the "6·14" mechanical injury accident in Baiyun Renhe. On June 14, 2026, a 55-year-old general worker at Wanbao Special Refrigeration Equipment Co., Ltd. was crushed by the robotic arm of a blank-stacking robot and died after emergency rescue efforts failed. Direct economic losses totaled 1,801,264 yuan.

  4. 36Kr Embodied Intelligence67

    Neolix completes nearly $400 million Series E, CEO Yu Enyuan discusses logistics vehicle TCO and overseas expansion

    Neolix announced on October 20 that it completed a Series E round of nearly $400 million, co-led by Boyu Capital and a state-level fund, with participation from Alibaba's AEF NextGen Hong Kong fund, GAC Capital, GGV Capital, Temasek's Vertex Growth and others. CEO Yu Enyuan said the original plan was to raise $200 million, and the round was ultimately oversubscribed.

Oct 29Thu
  2. 人形大讲堂 · 微信公众号74

    China Releases First Batch of 6 National Standards for Humanoid Robots, Effective April 1, 2027

    The State Administration for Market Regulation has approved and released China's first batch of 6 national standards for humanoid robots, numbered from GB/T 48316 to GB/T 48317.5, covering general provisions, environmental perception, decision planning, motion control, task operation, and simulation testing platforms. They take effect on April 1, 2027.

  3. 雷科技58

    Galileo releases petrochemical intelligent inspection solution, Ex2 explosion-proof robot dog runtime upgraded to 7 hours

    Galileo has released an upgraded petrochemical intelligent inspection solution, centered on the new-generation Ex2 intelligent bionic legged explosion-proof robot and paired with an embodied AI inspection platform. The Ex2 has obtained IIB+H₂ extended explosion-proof certification and reaches the T5 temperature class; it can climb 35° slopes and 30cm steps, with runtime upgraded to 7 hours and payload upgraded to 100 kilograms.

  4. Guyuehome58

    FTNCBF: Fault-Tolerant Neural Control Barrier Functions Under Sensor Failures and Attacks

    FTNCBF addresses the failure of barrier-function safety guarantees when sensors are attacked. It runs estimators in parallel for each fault hypothesis, converts estimation uncertainty into first- and second-order correction terms in the barrier condition, and then synthesizes fault-tolerant control via a minimum-norm program. The method was reproduced in spacecraft and UAV scenarios.

  5. New Strategy Robotics47

    Dexory partners with Nvidia to upgrade warehouse robots, adding Cosmos model and Halos safety platform

    Dexory is bringing the NVIDIA Cosmos-Reason2-2B model into the Storage Health feature of its DexoryView platform to identify warehouse anomalies such as opened boxes, shifted cargo positions, and misaligned pallets. The company says that after evaluating 2B and 8B configurations, it chose the 2B version to balance deployment efficiency and detection accuracy.

Oct 28Wed
  3. 高工咨询 · 微信公众号42

    No longer competing on specs, but on delivery: the competitive logic for robot core components has changed

    At this year's CIIF, the competitive focus of robot core component companies shifted from single-point specifications to stable delivery: Kunwei Technology, Xinjingcheng Sensors, Junduo and others expanded from force-tactile sensing to full-spectrum coverage; dexterous hand makers such as Zhongke Guiji, Dahuan and Yinshi emphasized industrial-grade lifespan and continuous operation capability; Huiling Technology's eHand-6 is priced at 2,999 yuan and the eHand-20 at 9,999 yuan. GGII forecasts that domestic dexterous hand sales will reach 70,200 units in 2026, up 265.63% year on year, but most customers are still in the proof-of-concept stage.

  4. Robotics & Automation News55

    Leiden University study: Ryberg Healthcare's autonomous UV-C disinfection robot Omnia meets disinfection standards

    Researchers at Leiden University evaluated Ryberg Healthcare's autonomous UV-C disinfection robot Omnia in a laboratory designed to emulate a hospital environment; the results, published in the peer-reviewed journal Infection Prevention in Practice, show it met the acceptance criterion of at least 5 log reduction.