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#Guides and practice
Oct 18Sun
  1. Guyuehome51

    TD-MPC2: Model-Predictive Reinforcement Learning Control Practice with Latent World Models

    The author uses official pretrained weights to drive a quadruped canine model through real running inference on a local CPU, reconstructing item by item the mathematical construction of the latent world model, the consistency learning objective, symlog two-hot encoding, and MPPI-style sampling-based planning, and records observed phenomena such as planning distribution contraction and the gap between estimates and realized outcomes.

  2. Guyuehome56

    Simulation Analysis of Dynamic Balancing and Motion Control for the Upkie Wheeled Biped Robot

    This article runs the Upkie wheeled biped robot's control system entirely in simulation, starting from the wheeled inverted pendulum model and constrained predictive control to explain the hierarchical structure of balancing and steering, and covering scenarios such as standing in place, acceleration and deceleration, differential steering, push recovery, and instability boundaries.

  3. Guyuehome48

    RB-Y1: Redundant Whole-Body Control and Compliant Mobile Manipulation for a Wheeled Dual-Arm Robot

    The RB-Y1 wheeled dual-arm robot demonstrates redundant whole-body control based on generalized coordinates and the Jacobian, including null-space utilization for manipulability maximization and joint-limit avoidance. The experiments show push-disturbance recovery under task-space impedance control, as well as mobile manipulation in which base movement expands the workspace.

  11. Guyuehome15

    Zephyr Multicore and SMP in Practice: Dual-Core Scheduling and Inter-Core Communication

    This article explains practical methods for dual-core scheduling and inter-core communication in the Zephyr real-time operating system under multicore and SMP (symmetric multiprocessing) scenarios. Aimed at robotics developers, it covers task allocation and inter-core data exchange mechanisms for Zephyr on multicore processors, helping readers understand how to use multiple cores to improve real-time performance in embedded control.

  17. 3D视觉工坊 · 微信公众号12

    "3D Vision from Beginner to Mastery" Knowledge Planet: Nearly 20 video courses covering industrial 3D vision/SLAM/3DGS/embodied intelligence

    The "3D Vision from Beginner to Mastery" Knowledge Planet has been running for nearly 9 years and now has more than 6,400 3D vision practitioners. It includes nearly 20 core video course tracks, covering industrial 3D vision, SLAM, 3DGS, autonomous driving, drones, embodied intelligence, and other directions.

Oct 17Sat
  1. D-Robotics Developer Community33

    RDK X5 cannot read I2C data

    On an RDK X5 V1.0, reading from both I²C sensors, the VEML7700 (address 0x10) and the VL53L8CX (address 0x29), failed, with address NACK, a timeout of about 1.06 seconds, and a Remote I/O error. The same two modules read successfully on an ESP32-C3 at 100kHz, and the VL53L8CX also output 8×8 distance data at about 2Hz.

  2. 深蓝AI · 微信公众号29

    Principles and Application Differences Between CNN and Transformer in Machine Vision

    In machine vision, CNNs and Transformers divide work according to real-time performance and complexity: CNNs handle lane recognition, close-range obstacle detection, traffic sign classification, and workpiece positioning and defect detection for industrial robots, while Transformers handle bird's-eye-view scene reconstruction, multi-sensor fusion, trajectory prediction, and drivable-area segmentation.

  3. 高工人形机器人 · 微信公众号60

    CASBOT PA perception-to-action model deployed at shoe factory in Putian

    CASBOT PA (Perception-to-Action), a perception-to-action model developed in-house by CASBOT, has been deployed at real workstations in the Putian shoe factory of Fujian Xinbai Sports. At this stage, a robotic arm serves as the execution platform, with the pipeline running from visual perception to motion generation, kinematics processing, and real-machine execution.

  4. Reddit r/robotics38

    2-hour reinforcement learning simulation of a quadruped robot dog in MuJoCo

    In a training platform built on a self-made MuJoCo physics simulator, the developer trained a quadruped robot dog simulation using reinforcement learning with motion imitation (style reference motions). Trained for only 2 hours on a MacBook Air CPU (no GPU), it learned a keyframe trot gait and balance. Joints are limited by a realistic hobby servo model in torque, speed curve, backlash, and latency, making the gait smoother than pure reinforcement learning. The simulation supports WASD-driven multidirectional control.

  5. 3D视觉工坊 · 微信公众号34

    Can't see clearly—can the robot still localize? SLAM begins using "contact" to find its position

    SLAM is beginning to use contact information between the robot and the environment as a basis for localization, supplementing pose estimation with kinematics and foot-ground constraints when vision and LiDAR are limited. KD-RIEKF from IROS 2025 was validated on the Unitree Go2, and under its test conditions, both position and attitude estimation errors decreased when the robot moved at high speed.

Oct 16Fri
  1. Reddit r/robotics61

    New FCC component rules take effect October 13: what robotics teams should self-check before launching in the US

    The FCC's new component restriction rules took effect on October 13, 2026, and the author has compiled a usage guide for robotics teams based on them. The article distinguishes three types of checks: restricted suppliers, restricted components, and restricted complete devices. It notes that the component rules are based on whether the actual producer is a Covered List entity, that already-authorized equipment is not affected by the new ban, but that redesigns or component replacements require separate review. It also recommends collecting component model numbers, producers, FCC records, and intended use for evaluation by testing labs or lawyers.

  2. Reddit r/robotics39

    LLM agent drives an AMR using Husky A300 + ROS2 Nav2 + local Qwen3

    A developer on Reddit demonstrated driving a Husky A300 mobile robot with a local Qwen3 LLM agent through ROS2 Nav2: it uses an asynchronous background task architecture, so chat still responds during navigation, and llama.cpp was compiled with CUDA 12.4 for real-time local inference with no cloud dependency. Spatial coordinates are kept in the conversation context with no external database; it currently runs entirely in simulation, and the same action-client/function-calling architecture can be transferred directly to a physical robot.

  5. Xbotics具身智能实验室 · 微信公众号19

    Xbotics Teams Up with Hangzhou Robotics School for 'Embodied Frontier Half-Day Offline Course': Getting the MicroDuck Robot Duck Moving

    Xbotics and Hangzhou Robotics School jointly present the 'Embodied Frontier Half-Day Offline Course,' held on October 25, 2026, 13:00–17:00 on the 3rd floor of Hangzhou Robotics School, at 400 yuan per person, limited to a small class of 15.

  6. D-Robotics Developer Community39

    Time synchronization solution for RDK X5 without network access: RTC battery and intranet NTP

    If the RDK X5 shows an inaccurate time after rebooting without a network connection, you can connect a 2–3.3V rechargeable battery to the onboard RTC battery connector (connector 2) to keep time. After setting the time with date -s, write it to the RTC with hwclock -w, then add hwclock -s to startup so the system time is automatically written back.

  7. 机器人产业应用 · 微信公众号57

    CASBOT PA perception-to-action model deployed on real production line at Putian shoe factory

    CASBOT PA (Perception-to-Action), a perception-to-action model independently developed by CASBOT, has been deployed at real workstations in Fujian Xinbai Sports' Putian shoe factory. At the current stage, a robotic arm serves as the execution platform, with the pipeline running from visual perception to motion generation, kinematic processing, and real-machine execution.

  9. D-Robotics Developer Community72

    D-Robotics releases consolidated RoboGo × Model Zoo development images: 7 current versions covering vision, OCR, speech, and LeRobot

    The D-Robotics developer community has compiled its previously shared RoboGo × RDK Model Zoo development images into an index: 5 categories and 7 current-version images, plus 3 historical vision versions, covering X5/S series vision v1.1/v1.2, PaddleOCR v3/v6, Paraformer, Depth Anything V2 Small, and LeRobot ACT / π0.

  10. 机器人产业应用 · 微信公众号72

    Open Source Has Become a Business: Embodied Models Flood the Market with Open Models, Weights, and Data—Who Actually Delivered, and Who Only Made Promises?

    The author reviews the surge of embodied model open-source announcements since September and proposes judging open-source usability by five components: code, weights, data, license, and reproduction process. The author also divides the degree of openness into four levels: fully open, code and weights open but data missing, only weights or API open, and promises that remain at Coming soon.

  11. 3D视觉工坊 · 微信公众号62

    Full Workflow for Camera Intrinsic and Camera-LiDAR Extrinsic Calibration on HandBot-S2

    This article details the practical workflow for completing camera intrinsic calibration and camera-LiDAR extrinsic calibration on the HandBot-S2. Intrinsic calibration uses Kalibr with an AprilGrid calibration board, and the article provides the capture requirements and the kalibr_calibrate_cameras run command.

  12. D-Robotics Developer Community29

    RDK X5 repeatedly errors and fails to boot after image flashing; community investigation points to power supply and miniboot

    An RDK X5 user cannot boot after flashing the official image, and community replies note that the log is still stuck at the BOOTROM/BL1/BL2 stage, meaning the SD card image has not yet been read. Troubleshooting suggestions: first disconnect the chassis wiring and peripherals, switch to the official-required 5V/5A adapter for Type-C power, and observe the indicator light; if the bare board still prints logs looping from the start, use XBurn with Serial+USB and xmodem_fastboot to reflash the miniboot firmware in the onboard NAND.

Oct 15Thu
  1. Reddit r/humanoidrobotics26

    Mapping a robot's motors like a motor homunculus: Unitree G1's 43 motors closely resemble the distribution of the cerebral cortex

    An author mapped the distribution of motor counts across a robot's body parts in the manner of a motor homunculus, finding that the proportions for each body part are similar to those in the human motor cortex. The Unitree G1, equipped with dexterous hands, has 43 motors in total, with the fingers alone accounting for 14 (about one-third), comparable to the roughly one-quarter to one-third share the hands occupy in the human motor cortex.

  2. Reddit r/robotics34

    When a vision model encounters something it wasn't trained on: reliability issues in industrial AI inspection

    Cognex product manager Andrew Parrett gives an example: a classification system used to sort chicken breasts and drumsticks, when it encountered a chicken wing, did not flag it as unknown but instead forced it into one of the known categories. This reflects a real problem in industrial inspection and robotic sorting—models still produce predictions for inputs outside their training range. The article describes how manufacturers handle such cases through rejection, reflow, or manual review, and how they train and validate against changes in lighting, materials, and incoming materials.

  4. Robotics & Automation News57

    Cross-Border Shipping Guide for Warehouse Robots: Customs and Logistics Pitfalls Global Automation Teams Often Miss

    Drawing on real cases, the author notes that delays in cross-border warehouse robot deployments stem mostly from customs clearance rather than technology, with three major bottlenecks: incorrect tariff codes, missing UN 38.3 documents for lithium batteries, and no bonded warehouse plan. The article provides a pre-deployment checklist covering component-by-component classification, document preparation, and bonded warehouse confirmation, proposes a Four-Gate Test decision framework, and recommends building last-mile logistics into the deployment timeline.

  6. 高工人形机器人 · 微信公众号62

    9 approaches, none can unify Ego data collection solutions

    The article reviews the approaches of 9 organizations addressing the shortfalls in first-person (Ego) data collection: Sharpa uses an EMG wristband moved forward as an intent entry point to fill visual blind spots, Xspark AI released the HumanTouch tactile multimodal system and a 1,000-hour tactile dataset, Wuji Technology open-sourced MINT and EgoPipeline and released 1,021 hours of first-person annotated data, and Daxiao Robotics open-sourced ACE-Ego-Hand and produced about 5,000 hours of training data.