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#Perception and localization
Nov 7Sat
  1. 移动机器人产业联盟 · 微信公众号55

    Jingsong Intelligent launches magnetic levitation stacker crane and flying-wing loading/unloading vehicle solution at CeMAT ASIA

    At CeMAT ASIA 2026, Jingsong Intelligent held a global debut of its magnetic levitation stacker crane and introduced its flying-wing loading/unloading vehicle solution for the first time. The magnetic levitation stacker crane replaces wheel-rail transmission with magnetic levitation and linear drive, achieving a maximum travel speed of 240 m/min and a lifting speed of 60 m/min; with laser ranging and magnetic-control full closed-loop positioning, it reaches ±2 mm storage and retrieval accuracy, and its dual-station design can carry 2 sets of 50 kg bins per cycle. The flying-wing loading/unloading vehicle solution relies on FMR robot cluster deployment and near-field visual scanning, and targets bidirectional synchronized loading and unloading for flying-wing carriages of multiple sizes.

Nov 6Fri
  1. 帕西尼 · 微信公众号40

    PaXini and 58.com's 58AIR announce strategic partnership to build embodied data learning network with "1+1+N" open ecosystem

    PaXini has entered a strategic partnership with 58AIR, the AI industry service platform under 58.com, and 58AIR has officially become a PaXini inside ecosystem partner. The two parties will work with N data-collection companies to explore a "1+1+N" open collaboration model. PaXini will provide partners with high-precision tactile sensors and device integration support, aligning tactile, posture, and visual information by task timeline; 58AIR will open up real-world operation scenarios such as home repair and intra-city logistics. The two parties will also connect collaboration steps including collection interfaces, quality requirements, task design, and data security compliance.

  2. 智源研究院 · 微信公众号55

    BAAI proposes ArtHOI: reconstructing 4D human-object interaction with video priors

    The Beijing Academy of Artificial Intelligence (BAAI) proposes ArtHOI, which uses video priors to achieve high-precision reconstruction of 4D articulated human-object interaction without paired 3D data. The method targets the human-object interaction reconstruction task, and its core idea is to replace paired 3D data with video priors.

  3. 3D视觉工坊 · 微信公众号30

    Zhang Zhengyou Calibration, Nine-Point Calibration, or Hand-Eye Calibration: How to Choose? Pick the Wrong Level and Accuracy Is Off from the Start

    Zhang Zhengyou calibration, nine-point calibration, and hand-eye calibration are not parallel alternatives; they are progressive layers, from camera optical calibration to planar coordinate alignment to 3D cross-system pose unification. Zhang Zhengyou calibration solves only the camera intrinsic matrix and distortion coefficients and requires 15–25 calibration board images at different poses; nine-point calibration uses 9 corresponding points of robot coordinates and pixel coordinates to compute a planar hand-eye matrix, suitable for 2D sorting, loading/unloading, and placement; hand-eye calibration solves the 6-DOF pose transformation via the AX=XB equation, targeting 3D grasping and precision assembly. Selection should match the scenario; more complex is not always better.

  5. HuggingFace Daily Papers67

    SLA: Scaling spatial-language-action models via continual pre-training

    The study proposes SLA, a spatial-language-action model initialized from a pretrained pi05 policy, which jointly optimizes action prediction and the alignment of intermediate visual embeddings with the spatial representations of a frozen 3D perception model during continual pre-training. The team unified heterogeneous robot datasets spanning embodiments, tasks, and scenes, and introduced feature-dependent gates that adaptively aggregate visual embeddings from multiple layers; the teacher model can use partially available depth and camera calibration information. All auxiliary components are used only during training, and the inference architecture remains unchanged.

  6. 锐曼REEMAN47

    How does the REEMAN X-ant autonomous forklift complete 140 transport cycles per day at a Shanghai auto parts factory?

    The REEMAN X-ant autonomous forklift at a large auto parts factory in Shanghai achieves about 125–140 pallet transport cycles per day, carrying 800–1,000 kg per trip over a full cycle of about 100 meters. The narrowest point of the plant's transport route is only 1.55 meters, and the pickup and drop-off area offers about 2.8 meters of operating space. With a one-button call, the forklift automatically picks up goods, transports them under load, drops them off, and returns to its charging station to stand by. The X-ant JBOT20F is 695 mm wide, has a turning radius of 1,448 mm, and a rated load of 2,000 kg.

  7. Guyuehome36

    Implementing GNSS Positioning and PPS Timing: NMEA Parsing, Time Synchronization, and Positioning Quality Assessment

    Centered on implementing GNSS positioning and PPS timing, the content covers three stages: NMEA sentence parsing, time synchronization, and positioning quality assessment. The original text does not provide specific module models, accuracy metrics, or experimental conditions; it only identifies these three technical points at the title level.

  8. Guyuehome42

    In-Depth Analysis of Differential Drive Mobile Chassis Odometry Calibration: Wheel Diameter Error, Effective Wheelbase, and Real-Vehicle Trajectory Verification

    Odometry calibration for a differential drive mobile chassis must address two key parameters: wheel diameter error and effective wheelbase, and the calibration effect must be verified through real-vehicle trajectories. The article analyzes these two sources of error, explaining their impact on odometry accuracy and the calibration approach.

  9. Beijing Humanoid Robot Innovation Center70

    Beijing Humanoid releases Hi-WBC general whole-body control model on "Huisikaiwu" platform

    Beijing Humanoid released the Hi-WBC general whole-body control model on the "Huisikaiwu" platform on November 2. The model combines human motion references with real physical constraints, enabling robots to adjust how they execute tasks as payload, external forces, and terrain change. It uses a continual skill expansion framework based on MoE and policy distillation, Contact-aware Learning that incorporates contact force prediction, and Perceptive Control that introduces terrain awareness.

    Why it matters: The original text discloses Hi-WBC's technical approach to handling payload, external force, and terrain constraints beyond motion tracking, offering insight into how whole-body control is moving from demonstrations toward real work.

  10. 机器人全球资讯 · 微信公众号52

    Hyundai Motor showcases ACR-H automatic hydrogen refueling robot for commercial vehicles

    At the 2026 World Hydrogen Expo, Hyundai Motor Group publicly demonstrated for the first time ACR-H, an automatic hydrogen refueling robot for hydrogen fuel commercial vehicles. It uses visual AI to identify the location of the refueling port, automatically opens the protective cover, and connects the refueling nozzle to complete refueling. At the same event, the group also showcased for the first time an upgraded fuel cell system for commercial vehicles, focused on improving stack durability, and exhibited the Bluelink Uptime Care fleet management platform and a 5 MW-class PEM electrolysis hydrogen production solution. The automatic refueling robot is still in the stage of technology demonstration and application validation.

  11. 电子工程专辑 · 微信公众号38

    SmartSens to Showcase Three Major CIS Products at IIC Shenzhen: SC2150, SC365AT, SC5D8XS

    SmartSens will exhibit three CIS products at IIC Shenzhen on December 9–10: the SC2150 with 12μm ultra-large pixels for long-distance, low-light telephoto; the SC365AT, the industry's first three-in-one automotive CIS combining Sensor, SerDes, and ISP; and the SC5D8XS, the industry's first 1X/2X dual-focal-length LOFIC smartphone main camera.

Nov 5Thu
  1. 新智元 · 微信公众号60

    Xiamen University and NTU propose RoTA-Bench: interactive projection alignment benchmark for 3D pose reasoning

    A team from Xiamen University and Nanyang Technological University proposed RoTA-Bench, which uses interactive 3D-to-2D projection alignment to evaluate whether vision-language models can precisely adjust an object's 3D pose based on visual feedback. The benchmark contains 674 tasks, of which 100 form a frozen test set; models must choose among 24 discrete rotation actions so that the projection reaches an IoU of 0.90 with the target contour.

  2. 雷科技67

    DJI releases all-scenario lightweight industry drone DJI Matrice 5T, standard with LiDAR and millimeter-wave radar

    DJI has released the all-scenario lightweight flagship industry drone DJI Matrice 5T, the first lightweight industry model to come standard with LiDAR, millimeter-wave radar, and a full-color omnidirectional visual perception system. The official mainland China price is 57,488 yuan, and pre-orders are open.

  3. 深蓝AI · 微信公众号74

    HKUST's Shen Shaojie team proposes RAVEN: an active SLAM framework unifying UAV active exploration and loop-closure localization

    The Shen Shaojie team at HKUST has proposed RAVEN, a unified active SLAM framework that uses utility vectors to separately quantify exploration efficiency and localization accuracy, selects global tours according to Pareto optimality, and uses a priority parameter λ (0–1) to determine whether to favor exploration or localization.

  4. Tech Xplore Robotics62

    MIT proposes UQ-DAAAM to correct erroneous object descriptions in robot memory using multi-view images

    MIT researchers propose the UQ-DAAAM system, which quantifies a robot's uncertainty about what it sees by comparing multiple descriptions of the same object from different viewpoints, selects additional viewpoints to correct erroneous annotations, and writes the corrections back to memory. The method adds uncertainty quantification to the DAAAM framework, uses heuristic rules to select frames that can reduce uncertainty without rerunning the vision-language model, and then uses a large language model to fuse the multiple descriptions.

  5. Guyuehome47

    Deep reinforcement learning-based quadrotor target tracking control: experiments with 64×64 visual input in Isaac Lab

    A quadrotor tracks a yellow target ball using only a 64×64 camera image. The official pretrained policy was loaded to complete tracking experiments in Isaac Lab, with the target visible about 40% of the time and the quadrotor autonomously hovering to reacquire the target after losing it. The article also discusses known gaps when migrating the policy to the DJI Tello.

  6. Guyuehome50

    In-Depth Analysis of Incremental Encoder Acquisition: Quadrature Decoding, Hardware Counting, and High-Speed Pulse Loss Troubleshooting

    Incremental encoder acquisition involves three stages: quadrature decoding, hardware counting, and high-speed pulse loss troubleshooting. The content covers quadrature signal decoding methods and hardware counter implementation approaches, and provides troubleshooting ideas for pulse loss under high-speed operating conditions.

  7. 锐曼REEMAN42

    How long does it take to deploy a REEMAN Ironhide 3.0 autonomous forklift? A one-day deployment case at a Zhejiang lighting factory

    A REEMAN Ironhide 3.0 autonomous forklift completed on-site deployment in about one day at a lighting equipment manufacturing plant in Zhejiang, handling pallet transport between a covered outdoor storage area and an indoor warehouse. The project has an actual load of about 600 kg, a one-way route of about 100 m, aisles 2–3 m wide, and performs 140–180 tasks per day; the vehicle model has a rated load of 1,500 kg. Laser SLAM navigation requires no floor QR codes or magnetic strips, but WMS/MES integration, elevators, automatic doors, and multi-route networks can extend deployment time.

  8. 锐曼REEMAN40

    How was REEMAN's Ironhide autonomous forklift deployed in one day at a Zhejiang lighting factory?

    REEMAN completed the on-site deployment of the Ironhide autonomous forklift in about one day at a lighting manufacturing factory in Zhejiang, for pallet transport between a covered outdoor storage area and an indoor warehouse. In actual operation, the forklift has a maximum payload of about 600 kg, a one-way route of about 100 meters, and performs about 140–180 transport tasks per day; the reference equipment price is about USD 9,900. During deployment, engineers also adjusted the transport route based on the actual situation of temporary inventory occupying the aisle.

  9. New Strategy Robotics60

    Zhongli's 45-ton unmanned reach stacker leads railway full-chain unmanned solution at China Railway site meeting

    Zhongli shares displayed its 45-ton unmanned reach stacker and railway unmanned transfer system solution at the China Railway Group's railway modern logistics system construction site meeting held October 27-28. The reach stacker is said to achieve a fully closed-loop unmanned container transfer operation and supports switching between autonomous operation and remote teleoperation modes. The transfer solution covers box unloading from boxcars, platform transfer, in-warehouse intelligent management, and loading and outbound shipping, carried out collaboratively by a 1.5-ton omnidirectional loading and unloading robot, a 2.0-ton embodied loading and unloading robot, and a 25-ton unmanned flatbed vehicle.

  10. arXiv cs.RO60

    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.

  11. arXiv cs.RO62

    RegimeVGGT: A Training-Free Acceleration Method for VGGT That Preserves Spatial Structure Layer by Layer

    RegimeVGGT proposes a training-free, layer-wise compression method that achieves a 6.7x speedup over the memory-optimized VGGT* with unchanged reconstruction quality. Through spectral analysis, probing, and causal analysis, the authors find that VGGT's shallow layers lack cross-view structure, its middle layers handle cross-view alignment, and its deep layers are redundant for dense geometry, but their cross-frame attention remains critical for pose.

  12. arXiv cs.RO67

    Tactus: A tactile and pose-sensing glove for natural dexterous manipulation data collection

    The authors propose Tactus, a textile-integrated sensing glove that provides both capacitive tactile force sensing and IMU-fused pose tracking with a 1.5 mm fingertip stackup thickness, for collecting natural dexterous manipulation demonstration data. At 95% confidence, the glove's minimum detectable force is 0.59 N, 1.6–2.7 times lower than two commercial tactile glove baselines, with cross-subject consistency of 0.87; under the most severe manipulation occlusion, the relative error of fingertip keypoints is 11.0 mm.

  13. arXiv cs.RO47

    Low-cost 4-DoF arm RoArm-M2-S achieves vision-guided writing tool reorientation and color sorting

    The roughly $200 Waveshare RoArm-M2-S four-degree-of-freedom robotic arm, under a fixed overhead camera, uses a YOLO11n-OBB detector, an ArUco reference pose, and a color classifier to perform color sorting of writing utensils without a wrist rotation joint. For utensils deviating more than 45 degrees from the fixed approach direction, corrective sweeps bring them into a graspable pose within at most 4 attempts. In 196 single-utensil trials, 176 (89.8%) landed in the correct color bin; of the 20 failures, 19 were grasp slips or missed grasps and 1 was a color mislabel.

  14. arXiv cs.RO38

    3D Rotation Representations: Mathematical Foundations and Comparative Analysis

    This paper systematically reviews multiple rotation representations of SO(3), including Euler angles, axis-angle vectors, quaternions, rotation matrices, exponential maps, and emerging continuous and probabilistic methods, and compares them across dimensions such as continuity, susceptibility to gimbal lock, computational efficiency, storage requirements, interpolation, and composition operations. Empirical results show that quaternions are advantageous due to their compactness and efficiency, while 6D continuous representations and matrix Fisher distributions offer greater advantages in continuity and uncertainty modeling.

  15. arXiv cs.RO62

    Uncertainty-Triggered Aerial Refinement for Off-Road Navigation

    The paper proposes a planner-conditioned air-ground assistance method that evaluates how map uncertainty affects the UGV's current MPPI rollouts. When navigation remains degraded, it re-scores the same rollouts under resolved map hypotheses, selects the map layer whose request yields the largest improvement, requests the corresponding aerial measurement, and fuses it to replan.

  16. arXiv cs.RO45

    Robustness verification of visual stabilization under plant-binding conditions using sliding mode control

    This study examines the visual stabilization performance of boundary-layer sliding mode control (SMC) relative to causal baselines such as LPF and PID under plant-binding conditions, where disturbance velocity approaches or exceeds the actuator slew limit and the per-step actuation budget is constrained.

  17. arXiv cs.RO56

    Reflection-Robust Stereo VIO: Removing Reflective Virtual Features with Kalman-Filtered Ground-Height Estimation

    This paper proposes a lightweight reflection-aware front-end for feature-based stereo visual-inertial odometry (VIO) that estimates ground height in real time and rejects only feature candidates whose inferred 3D positions lie below the estimated ground. The method uses a ground-region mask to restrict the validation scope, constructs frame-level ground-height measurements from stereo height uncertainty and pose uncertainty, stabilizes the estimate with a scalar Kalman filter with NIS gating, and performs selective rejection with an uncertainty-aware safety margin.

  18. arXiv cs.RO62

    OdorSpaces: A Visual-Olfactory Embodied Navigation Simulation Platform and Benchmark for 3D Environments

    The authors propose OdorSpaces, a physics-simulation-based platform and benchmark for visual-olfactory embodied navigation. It integrates 3D odor transport and dispersion simulated by Fire Dynamics Simulator (FDS) into Habitat-Sim, enabling agents to navigate realistic indoor environments using both visual and olfactory observations.

  19. Robotics 24/773

    Boston Dynamics launches Stretch Gen 2 autonomous mobile unloading robot

    Boston Dynamics has released Stretch Gen 2, its second-generation autonomous mobile unloading robot, with hardware and structural upgrades based on first-generation deployment data and more than 100,000 hours of operating data. The new machine reduces internal cabling by 81%, uses automotive-grade connectors, joints that can rotate continuously more than 360°, and an upgraded gripper. It can unload up to 1,000 boxes per hour, its battery can support two shifts, and fast charging takes about 75 minutes to 90%.

  20. 简智机器人 · X20

    GenRobot's DAS 2.0 to debut at CoRL 2026

    🚀 5 days to go until CoRL 2026! Meet GenRobot's next-generation data collection hardware, DAS 2.0, featuring Dex 2.0 and Ego 2.0. From precise hand motion and tactile sensing to first-person multimodal collection, learn how we are scaling human data for embodied intelligence. 📍 Booth 200 | JW Marriott Austin, 2nd floor 📅 November 9–11, 2026 See you in Austin! #CoRL2026 #GenRobot #EmbodiedAI #HumanData #PhysicalAI

  21. NASA58

    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.

  22. 未来机器人网 · 微信公众号77

    D-Robotics and University of Tokyo release RawVLA: frozen VLA, only imaging front end trained, low-light dual-arm task success rate rises from 0 to 66.5%

    D-Robotics, together with the University of Tokyo and other institutions, released the RawVLA technical approach, which adds a learnable neural ISP module before the VLA policy while keeping the VLA model frozen, using action error to train the imaging front end in reverse. On real robots, four dual-arm tasks were tested with π0.5; the average success rate in low light rose from 0% with the default ISP to 66.5%, versus 75.0% in normal light, where the default ISP achieved 76.5%.

    Why it matters: The approach brings the imaging front end into the learnable pipeline and provides comparative data under low light and normal light, offering a reference for vision pipeline design.

  23. The Robot Report35

    How GlobalLogic helped Haystack Robotics build a UV disinfection robot

    GlobalLogic's Silicon & Embedded division partnered with Haystack Robotics to design an autonomous mobile robot (AMR) from the concept stage, combining real-time perception, edge intelligence, and navigation to perform hospital-grade UV disinfection with as little manual intervention as possible. The robot offers two modes, autonomous navigation and "follow me"; the platform separates the mobile chassis from the UV payload so other modules can be swapped in later, and it reuses components such as ROS and sensor fusion.

Nov 4Wed
  1. New Strategy Robotics60

    Youibot Semiconductor Mobile Manipulator Robot Project Wins First Prize of Guangdong Provincial Technology Invention Award

    The project "Key Technologies and Systems for Highly Stable Mobile Manipulator Robots for Semiconductor Manufacturing," led by Youibot, won the first prize of the Technology Invention Award at the 2025 Guangdong Provincial Science and Technology Awards. The project claims breakthroughs in three areas: material vibration control, wide-range navigation and positioning with end-effector grasping precision, and integrated "hand-eye-foot" safety control. The OW series and ATS series mobile manipulator robots have entered more than ten wafer fabs in China and abroad, integrating into 8-inch and 12-inch wafer and 28nm chip production processes and operating 24/7.

  2. Reddit r/humanoidrobotics22

    Neura Robotics launches perception-oriented foundation model neuron ai, discusses role of perception in foundation models

    Neura Robotics has released neuron ai, a perception-oriented foundation model that is said to incorporate more sensory inputs in addition to video and simulation data. The poster believes it will still take a long time to collect enough new data for robots to achieve true multi-task autonomy, but the direction is worth watching.

  3. Guyuehome58

    BSC-Nav paper analysis: a retrievable spatial cognition approach for embodied navigation

    BSC-Nav is an arXiv paper (2610.02784) aimed at indoor object navigation, long-instruction following, active embodied question answering, and mobile manipulation, addressing the problem that multimodal large models can understand the current view but struggle to support spatial cognition. This analysis article from Guyuehome says it moves embodied intelligence from reacting to a single glance toward retrievable spatial cognition, but currently only the abstract is provided; method details and experimental results are not elaborated.

  4. Guyuehome58

    EvolvingNav proposes dynamic search framework to let robots track moving targets in changing environments

    EvolvingNav proposes a dynamic search framework to address the problem of robots tracking items that may be moved in long-term environments. The framework fuses timestamped 3D observation history and distinguishes three cases: the target remains at its most recent location, the target has moved to a known location, and the target has entered an unknown area.

  5. Guyuehome58

    RPV-SemNav proposes zero-shot indoor navigation method without prior maps

    RPV-SemNav proposes a zero-shot indoor navigation method that requires no prior map. It maps target and observed objects into probability vectors over nine room categories (RPV) and uses spatial co-occurrence semantics to guide exploration. The system combines open-vocabulary detection, CLIP semantic alignment, and free-space propagation, enabling the robot to first understand the room and then decide where to look for the target.