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#Perception and localization
Oct 30Fri
  1. 遨博机器人 · 微信公众号35

    Application sharing: From palletizing to sorting, how do AUBO collaborative robots penetrate six major industrial scenarios?

    AUBO collaborative robots cover six major industrial scenarios—palletizing, assembly, grinding, spraying, inspection, and sorting—through force control, vision, and flexible deployment. The palletizing workstation supports one-click pallet pattern generation, 2-hour deployment, a maximum pallet height of 2.5 m, and a cycle rate of 9 boxes/min; the assembly station has a cycle time of 15 seconds and a fastening success rate of 99.8%; the newly released G40 adaptive collaborative robot has been used for grinding automotive metal structural parts and features IP67 protection and an explosion-proof design.

  2. Reddit r/robotics42

    Mino's ROS 2-based companion behavior explained: three states of finding, following, and accompanying

    Mino's companion behavior application is implemented on the Jetson Orin Nano based on ROS 2, with three states: finding a person, following, and accompanying; the video is its first outdoor test. The application uses open-source modules such as depth estimation, YOLO-World person detection and tracking, pose feedback, odometry, and motion control, and a coding agent assembled the behavior logic within a weekend. The robot perceives the person by 3D position and velocity, smooths the trajectory with a Kalman filter, and continuously sends head pose and chassis velocity commands to custom hardware.

  3. 帕西尼 · 微信公众号56

    CAS Institute of Automation proposes tactile-enhanced grasp-and-insertion framework, achieving 67% success rate at 0.05 mm clearance

    The team led by Cheng Long at the Institute of Automation, Chinese Academy of Sciences, proposed a tactile-enhanced full-pipeline learning framework for grasping and insertion, achieving a 67% success rate at 0.05 mm clearance and a 60% reduction in peak contact force; the paper was accepted to IROS 2026. The research uses the PaXini PX6AX GEN3 multi-dimensional tactile sensor as its core sensing hardware, integrated into a seven-axis robotic arm, covering five geometric shapes and three clearance levels of 1, 0.25, and 0.05 mm. Under the same conditions, the tactile-free IL+RL approach achieved a 52% success rate, while the pure imitation learning approach achieved 0.

  4. 锐曼REEMAN35

    How does the REEMAN YIMA delivery robot use elevators in apartment buildings? YBOT20P explained

    The REEMAN YIMA YBOT20P outdoor delivery robot can automatically call an elevator, enter it, and deliver across floors through a compatible elevator control interface, without anyone needing to press the elevator buttons. The platform is designed for indoor and outdoor transport, has a payload of 100 kg, uses dual-lidar SLAM navigation, autonomous obstacle avoidance, and automatic charging, and can connect the delivery process from a community parcel station to a designated apartment entrance. Elevator integration requires confirming compatibility with the manufacturer's API, control module, or building system interface, and the elevator's existing safety controls must not be bypassed.

  5. 机器人daily · 微信公众号62

    CAS Institute of Automation and Paxini collaborative study: tactile-enhanced reinforcement learning achieves sub-millimeter precision assembly

    A team led by Cheng Long at the Institute of Automation, Chinese Academy of Sciences, published research at IROS 2026 using tactile-enhanced reinforcement learning to improve the success rate and stability of sub-millimeter precision insertion. The approach first uses Diffusion Policy imitation learning to reach the hole opening, then SAC reinforcement learning to complete the insertion, and handles real-world tactile noise through tactile baseline compensation and balanced sampling grouped by torque.

  6. 3D视觉工坊 · 微信公众号55

    HandBot-S2 multi-sensor fusion 3D scanner launched, with optional 3DGS SDK and in-house calibration source code

    HandBot-S2 is a 3D spatial scanner with open hardware and data. It integrates 3D LiDAR, front, left, and right trinocular cameras, an IMU, and RTK, achieves millisecond-level synchronization through hardware triggering, and provides calibrated intrinsic and extrinsic parameters.

  7. 锐曼REEMAN52

    REEMAN launches YIMA YBOT20P door-to-door parcel delivery robot for residential communities

    REEMAN has released the YIMA YBOT20P outdoor delivery robot, which carries parcels from courier stations to apartment doorsteps along mapped community routes, with a rated payload of 100 kg. The robot uses dual-laser SLAM navigation, with a 360° top laser and a 230° front laser, an adjustable speed of 0.3–1 m/s, maximum obstacle clearance of 3 cm, maximum climbing grade of 10%, a nominal battery life of 10–15 hours, and support for automatic return to charge on low battery. It enables cross-floor delivery through integration with compatible elevator and automatic door controllers, and outdoor operation is limited to dry paved roads under no-rain conditions.

  8. HuggingFace Daily Papers72

    OpenFlyV2 releases onboard vision-language-action model for aerial perception and navigation

    OpenFlyV2 is a unified onboard vision-language-action architecture that uses a shared vision-language representation to support semantic understanding, language-grounded perception, spatial reasoning, and continuous flight control within a single model. The model generates action chunks of 12 waypoints each entirely onboard at 10 Hz on an NVIDIA Jetson Orin NX, and transfers zero-shot from simulation to a real quadrotor, achieving a 48% navigation success rate in four real environments without using real aerial training data.

  9. Reddit r/robotics36

    Local LLM converts English commands into general robotic arm control: Qwen3.8-Flash-Next drives reBot B601 demo

    A developer used a locally running Qwen3.8-Flash-Next model to convert English commands into general control of a reBot B601 robotic arm, entirely offline at home. In the demo, the arm completed tasks including shooting a Nerf gun, throwing a ball, writing, drawing, and pouring a cup, with object recognition using Meta SAM. This is the second video in the series; an earlier one demonstrated give, take, follow, and stacking actions.

  10. 钛媒体58

    Hesai launches Kosmo One spatial camera and Kosmo World cloud platform

    Hesai Technology launched Kosmo One, a handheld 3D spatial data capture device integrating lidar, an 8K imaging system, and a high-precision IMU, on October 14, alongside the Kosmo 3D world data engine and the Kosmo World cloud platform. Kosmo World reconstructs raw data into three spatially aligned formats: 3DGS, Mesh, and Depth. A typical indoor scene of about 100 square meters can be scanned in roughly 15 minutes. Hesai said it aims to move from hardware revenue toward data and model services, building a spatial model digital asset platform that customers can pay to use.

  11. 36Kr Embodied Intelligence54

    Xinyan Robotics Releases Embodied Family Agent Bubbo 1

    Xinyan Robotics has released the embodied family agent Bubbo 1, which builds a "Family Agent" on its self-developed Bubbo OS and can recognize each family member and pay attention to relationships among members. Bubbo carries 13 types and 26 sensors; its output side includes 6 degrees of freedom and two expression screens, and it has built-in camera-based heart rate detection and a partnership with the Cece smart ring for data sharing between devices.

  12. Reddit r/robotics38

    Mino robot takes its first autonomous outdoor stroll: ROS 2-based following app tested

    The Mino robot completed its first outdoor autonomous stroll test. Its ROS 2-based following app runs on a Jetson Orin Nano and has three states: finding people, following people, and companionship. The app uses YOLO-World to detect pedestrians and stereo vision depth estimation to generate 3D bounding boxes, combined with Kalman filter tracking, and continuously recomputes trajectories to control the base and head. The app was completed over a weekend using open-source software modules and a coding agent, and will be released as open source with the robot if the Kickstarter crowdfunding campaign succeeds.

  13. HuggingFace Daily Papers58

    Study: Probe evaluation of spatial state representations in visual foundation models

    The study uses frozen-feature probes to examine ten visual foundation model representations across four levels—spatial structure, object persistence, predictive spatial update, and actionability—under streaming first-person observations of static indoor environments. Results show that strong readout of the visible scene does not guarantee accurate object persistence or future-feature retrieval, and a spatial reader trained on real features does not transfer unchanged to predicted features. Object persistence and actionability depend on camera pose readout, while feature prediction depends on visible-scene readout.

  14. CMU Robotics Institute62

    CMU proposes Wiggle and Go: estimating physical properties of ropes by wiggling to plan manipulation

    A team at CMU's Robotics Institute has proposed the Wiggle and Go system, in which a robot first briefly wiggles a rope or cable while an overhead camera records how the waves propagate; a computer vision algorithm then tracks the motion and estimates the object's physical properties, which are used to plan subsequent actions without repeated trial and error. The model is trained entirely in simulation, and properties are then estimated from the motion of real ropes being wiggled to improve prediction accuracy on real hardware. The research has been accepted to the 2026 Conference on Robot Learning (CoRL) and will be presented next month in Austin; it is partly funded by the U.S. National Science Foundation.

    Why it matters: The method estimates a rope's physical properties from a single wiggle and then plans actions accordingly, offering a transferable approach to deformable object manipulation.

Oct 29Thu
  1. 未来机器人网 · 微信公众号67

    Daxiao Robotics opens ACE-Brain-0.6 API, bringing spatial grounding capability to ACE Hub

    Daxiao Robotics has released the ACE-Brain-0.6 API, opening its spatial grounding capability to external developers through the ACE Hub platform, so they can call it without deploying the model independently. A simultaneous upgrade expanded high-quality spatial grounding training data from about 1.1 million to 1.5 million entries, raised the model's average score on seven public grounding benchmarks to 75.41, and increased inference speed beyond that of GPT-6 Astra.

  2. 机器之心 · 微信公众号67

    Tianjin University team proposes FAME: an active 3D mapping method using Flow Matching to generate multiple exploration goals, selected for NeurIPS 2026 Spotlight

    A team from Tianjin University and Hefei University of Technology proposes FAME, which uses Conditional Flow Matching to simultaneously generate multiple exploration anchors, then determines routes through A* path planning, path clustering, and hierarchical selection. The paper was accepted to NeurIPS 2026 and selected for Spotlight.

  3. 高工咨询 · 微信公众号42

    Bokente launches hybrid dual-arm collaborative robot HS-PRO and five-axis stereo machining workstation, pivoting to industrial embodied applications

    Bokente has released two new products, the "hybrid dual-arm collaborative robot HS-PRO" and the "five-axis stereo machining workstation," marking its transition from high-speed parallel sorting to industrial embodied applications. HS-PRO uses dual-arm biomimicry plus AI vision coordination to cover the full process of material handling, assembly, fastening, and feeding, with a cycle rate of 130 times per minute; the five-axis workstation supports adaptive alignment for irregular holes and constant-force fastening, adapting to non-planar machining such as inclined surfaces and counterbores. The company says more than 95% of core components are produced in-house, and it has entered automotive brake pad line changeover, new energy battery sorting, and production line assembly processes.

  5. 戴盟机器人55

    Daimon Robotics presents Daimon-TWM tactile-anchored world model and full-chain physical intelligence system at IROS 2026

    At IROS 2026, held September 27 to October 1 in Pittsburgh, USA, Daimon Robotics presented its full-chain physical intelligence system spanning perception, data, and models under the theme From Touch to Intelligence, centered on the Daimon-TWM tactile-anchored world model.

  6. 拓斯达58

    Topstar's humanoid dual-arm robot enters 3C irregular-part sorting, cutting changeover time to minutes

    Topstar has launched a humanoid dual-arm robot solution for sorting irregular parts. Operators issue commands in natural language, and TOP Agent parses the tasks and coordinates visual perception, motion control, and force-controlled gripping, cutting changeover time from hours to minutes. On the hardware side, the humanoid dual arms have a rated payload of 8 kg and repeat positioning accuracy of ±0.05 mm, are equipped with a binocular vision system and a force-controlled adaptive gripping module, and support 24/7 continuous operation. The solution has completed deployment validation in the supply chain of a leading 3C brand and can optionally be equipped with edge computing and industrial large models to extend to processes such as appearance inspection.

  7. 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.

  8. 3D视觉工坊 · 微信公众号50

    Yufeng 250-L LiDAR Edition Quadcopter Drone Kit: An Autonomous Navigation Development Platform for Research and Education

    The Yufeng 250-L LiDAR Edition quadcopter drone kit is aimed at research and education. It consists of three core modules: a flight controller, an onboard computer, and LiDAR. It can deploy SLAM, planning, and control algorithms to achieve real-time navigation in unknown environments.

  9. 锐曼REEMAN22

    REEMAN to Launch Commercial Autonomous Tennis Ball-Collecting Robot for Professional Tennis Facilities

    REEMAN Robotics is developing a commercial autonomous tennis ball-collecting robot for professional tennis academies, multi-court clubs, and commercial tennis facilities, with the goal of reducing repetitive ball-collecting work and allowing coaching teams to focus on training. The product is in the development and technical evaluation stage. Development priorities include a ball-storage target of about 200–300 balls, autonomous navigation, tennis ball detection and collection, automatic charging, and court surface compatibility; these are engineering goals rather than verified mass-production specifications. REEMAN has not yet announced a confirmed launch date, final price, mass-production specifications, or sales channels.

  10. 奥比中光58

    Orbbec and Daxiao Robotics sign 10,000-unit strategic procurement agreement

    Orbbec has signed a 10,000-unit strategic procurement agreement and reached comprehensive strategic cooperation with embodied intelligence company Daxiao Robotics. Orbbec will supply depth cameras, RGB cameras, and bodyless data collection hardware, along with supporting software adaptation and large-scale manufacturing and delivery. The equipment is used in Daxiao Robotics' robot bodies and environmental data collection system, supporting multi-view real-interaction data collection and providing a data source for embodied intelligence model training. The two parties have now entered the product delivery stage.

  11. 锐曼REEMAN30

    How Does REEMAN Use the Big Dog Chassis Mobile Platform to Automate Warehouse Shelf Picking?

    REEMAN ROBOT partnered with a German industrial technology customer to develop a mobile manipulator robot for warehouse shelf picking and material handling. The solution uses the Big Dog Chassis AMR platform with a rated payload of 100 kg, paired with a 7-DOF robotic arm with a rated payload of 5 kg and a working reach of 610 mm, as well as a vertical lifting mechanism with a stroke of 1,200 mm.

  12. Reddit r/robotics58

    Implementing IMU and image-synchronized visual-inertial odometry with the OpenMV AE3

    The author used a Python script and modified firmware to synchronize the OpenMV AE3 camera's exposure with specific IMU measurements, aiming to improve visual-inertial odometry. The firmware change adds a shared clock between the two CPU cores; the IMU runs at 208 Hz, and every 10 IMU measurements trigger one camera exposure, at about 20 FPS. The code is open-sourced, and test videos of Kimera-VIO in 3 m/s outdoor flight and indoor flight are provided.

  13. Guyuehome40

    DINOv3 features plus vector database: a retraining-free approach for fixed-camera scenarios

    DINOv3 features plus a vector database can achieve retraining-free operation in fixed-camera scenarios. Mechanistically, this works by changing the data rather than the model; in terms of cost, it shortens the cycle and carries no regression risk. The approach has clear boundaries of applicability: fixed viewpoint, a limited number of categories, stable lighting, and available operations and maintenance conditions.

  14. Guyuehome58

    JEPLO: Terrain-Adaptive Gait Control for Quadruped Robots Based on JEPA and LiDAR Perception

    JEPLO proposes a terrain-adaptive gait control method for quadruped robots that aggregates single-LiDAR point clouds into depth observations and predicts the next-beat latent variable in latent space, without reconstructing images. The method is supplemented by teacher-student distillation and distribution regularization; pretrained weights are reproduced in simulation, and principal component analysis of the latent variables clusters clearly by terrain.

  15. Guyuehome60

    OpenDoge uses observation-history implicit state estimation to control quadruped robot locomotion

    OpenDoge proposes a hybrid internal model for quadruped robot locomotion control that, without terrain maps or contact sensors, encodes observation history into a velocity estimate and a 16-dimensional latent state to determine gait phase and external disturbances. The article combines real inference data to examine what information the latent state carries and what it lacks.

  17. Guyuehome58

    AME: Terrain-attention encoding controls G1 humanoid robot walking on complex terrain

    The article introduces a terrain-attention encoding method called AME that encodes a 1.6×1.0-meter elevation map for the G1 humanoid robot into 187 terrain tokens, uses the robot's proprioceptive state as a single query for cross-attention to extract terrain features, and the policy uses these to walk on steps, plum blossom piles, and slopes. The article derives the encoder structure, attention mechanism, and reward design; the full body of the text is not provided in the materials.

  18. Guyuehome58

    Lidar-E2E: End-to-End Obstacle Avoidance Control with Onboard LiDAR for Quadrotors

    Lidar-E2E proposes an end-to-end obstacle avoidance control method for quadrotors using onboard LiDAR. It pools point clouds from a 1944-line LiDAR into a 36×6 range image, concatenates this with a 20-dimensional body state, and directly outputs attitude increments and throttle, which are executed by a low-level PX4 cascaded attitude controller. The article also derives a rotor identification model, the sensing pipeline, and reward shaping, and uses Isaac Sim.

  19. 锐曼REEMAN42

    How REEMAN Rhino autonomous stacker forklifts automate pallet transport at a Shanxi packaging plant

    REEMAN Rhino autonomous stacker forklifts are deployed at a food-service packaging plant in Shanxi, automatically completing pallet transport from the pickup area to the warehouse over a one-way distance of about 280 meters and a round trip of 560 meters, with a payload of about 800 kilograms per trip and roughly 64 tons of cargo moved per day based on an estimated 80 trips per day. The vehicle has a rated load of 1.5 tons and a lift height of 2.5 meters, uses laser SLAM navigation, is priced at about 11,000 USD for reference, supports automatic docking and charging at low battery, and its charging station can be relocated. On-site deployment took about 1 day, and the LiDAR mounting position was raised by 1 meter for future rack-storage planning.

  20. 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.

  21. New Strategy Robotics22

    UAE Ministry of Investment Talent Delegation Visits Lanxin Robot to Explore New Opportunities for International Cooperation in Intelligent Robotics

    A leadership talent delegation led by the UAE Ministry of Investment recently visited Lanxin Robot, where they observed on-site demonstrations of 3D vision sensors, 3DGS technology, and the humanoid robot VB 2 performing supermarket picking tasks. VB 2 demonstrated exploration integrating spatial perception and manipulation, relying on 360° environmental perception and omnidirectional mobility capabilities. The M4-G 3D camera, designed specifically for close-range perception in embodied humanoid robots, has already been deployed at scale in scenarios at leading industrial humanoid robot companies. The visit provided a platform for exchange and created opportunities for Lanxin Robot to expand cooperation in the Middle East market.

  22. Automated Warehouse42

    Kardex launches AI-driven BinInductAI to speed up AutoStore bin induction and improve accuracy

    Kardex has released BinInductAI, which uses AI and computer vision to replace manual pre-checks and barcode scanning in the AutoStore bin induction process, cutting on-site induction time by up to 30%. Operators only need to place the bin at the induction port; the system automatically checks that the bin is present, its walls, the robot gripper holes, and barcode readability, and after barcode verification confirms with the ASRS that the bin is not registered as a duplicate before issuing the insert command. The system can automatically identify damaged or non-standard bins, reducing the risk of downstream interruptions.

  23. HuggingFace Daily Papers55

    QUAN: Quaternion Approximate Networks Improve Image Classification and Oriented Object Detection

    The paper proposes Quaternion Approximate Networks (QUAN), which approximate quaternion convolution through Hamilton product decomposition using real-valued operations, paired with custom CUDA kernels to achieve rotation-equivariant image classification and object detection. The authors also propose Independent Quaternion Batch Normalization (IQBN) to stabilize training and extend quaternion operations to spatial attention mechanisms.

Oct 28Wed
  1. 机器人全球资讯 · 微信公众号58

    CASIVIBOT Industrial Embodied Inspection Robot Debuts Two New Models at CIIF

    CASIVIBOT, the industrial embodied inspection robot from CASIVIBOT, showcased its Z1-Lite motor stator model and Z1-SE hard material model at the 26th China International Industry Fair. The Z1-Lite targets mass-production inspection of micro motors, completing loading and unloading, defect detection, and automatic sorting in one station, with 5-micron inspection precision and 5 seconds per part; the Z1-SE relies on a self-developed few-shot visual inspection engine to identify chipping, scratches, dents, and dirt, with 7-micron inspection precision and 20 to 35 seconds per part.

  2. 机器人全球资讯 · 微信公众号55

    First CMG World Robot Mount Tai Climbing Competition Qualifying Round Kicks Off in Rain

    On October 26, the qualifying round of the first CMG World Robot Mount Tai Climbing Competition started on the trail from Red Gate to Zhongtian Gate in Mount Tai, with multiple domestic teams fielding legged and wheel-legged composite robots. The course is about 3.8 kilometers long with more than 3,100 steps. Rain during the race made the stone steps slippery, testing the robots' balance control, perception and decision-making, and battery life in a real mountain environment. One robot from Dongtai Technology completed the speed race in about 58 minutes with about 80% battery remaining. The event also includes a loaded-carrying race for legged robots, simulating mountain emergency supply delivery scenarios.

  3. 高工咨询 · 微信公众号28

    Huaray Technology Showcases New Machine Vision and AMR Products at Shenzhen Electronics and Semiconductor Exhibition and Machine Vision Exhibition

    Huaray Technology exhibited new machine vision and AMR products and solutions at the Shenzhen Electronics and Semiconductor Exhibition and Machine Vision Exhibition held October 27-29. On the vision side, the exhibits included a 65MP CXP large-area-array camera, a 5MP short-wave infrared camera, a 16K 256-level TDI line-scan camera, and the R5000Pro series AI smart code readers, covering processes such as wafer AOI inspection, scribe-line positioning, and micro-crack detection.