A developer used the motion of a RealMan ECO65 robotic arm as a calibration target to align a wrist-mounted iPhone with an external iToF sensor, and imported RGB color depth point clouds and joint motion data into an office digital twin.
The Xbotics Embodied Intelligence Lab has released Part 2 of Lecture 6 in its "Twenty-One Lectures" series, explaining how to generate grasp candidates from object poses and complete the coordinate transformation from the camera frame to the robot base frame. The article breaks down five elements: grasp point, approach direction, opening width, safety offset, and orientation matching. It compares the Eye-in-Hand and Eye-to-Hand hand-eye calibration topologies and provides procedures for reachability checks, degradation under observation failure, and troubleshooting perception failures.
A project video for the DIY bipedal robot CBR-II reviews the complete process of training walking policies with reinforcement learning and deploying them from simulation to the real robot, and shows the final results on the hardware. The robot can now walk and stand on one leg.
The v1 lecture notes "Optimization, Optimal Control, and Reinforcement Learning for Robotics," compiled and edited by Yonghyeon Lee, have been released on arXiv, emphasizing the mathematical connections and practical applications among the three. The notes were written through human-AI collaboration and are a compilation of existing material rather than new research results; they are currently a preliminary version with no figures or graphs, and revisions and expansion are planned.
Without modifying the AGV PLC program, the Kollmorgen NDC scheduling system uses configurations such as TS, Cluster, Blocking, Weight, and SSIO in System manager/System manager NG to implement three traffic management solutions for oncoming traffic on narrow paths.
A developer set up a robot lab in an office Gaussian splat reconstruction scene, having a borrowed RealMan ECO65 perform a J1 joint +5° round-trip motion at 5% speed; after switching to Wi-Fi client mode, it lost connection and no Ethernet cable was available.
Deep Blue AI published an article outlining the division of labor among VLA, WAM, and Harness in embodied systems: VLA turns observations and goals into actions, WAM uses future-state prediction to aid action learning, and Harness organizes subtasks, capability invocation, and execution feedback.
Wouf, the quadruped robot in the open-source Cubic Doggo project, has completed its first walk. The author traced the earlier low-speed problem to latency in reading position, speed, and torque from the ST3215 servos (about 3–5 ms per read across three servos) and has now disabled feedback reading on Wouf. After switching to the ST3215, Wouf's walking speed exceeded expectations, but the turning algorithm still has issues. The author believes the approach can be used for walking robots, and whether feedback reading (an input required for reinforcement learning) can be restored depends on how difficult it is to develop synchronized-read firmware.
A user bought an old Beam+ telepresence robot from FB Marketplace; its battery was dead, and after powering it with a desktop power supply it booted successfully, but authentication could not be completed because the software points to a server that has been taken offline. They asked Awabot about a software update or system image, and also found papers and GitHub repositories referencing the old ROS project and added sensors, as well as a video showing commands sent manually to drive the robot and capture its video stream.
A developer is building a robot consisting of a Raspberry Pi 5, an ESP32, and 2 RS390 6V motors, powered by a 3S4P pack of 12 18650 cells (2,200mAh each), a 40A BMS, nominal 11.1V (12.6V fully charged). The core question is how to provide the Pi 5 with a 5.1V supply that has sufficient current under load: whether to choose a high-current step-down converter or whether there is a better solution, and the developer hopes for specific module recommendations.
A developer is converting a cardboard/wood prototype into a metal chassis for a 3 kg–5 kg class competitive mobile robot, planning to first use a single base plate to mount 300 RPM Johnson motors and BTS7960 drivers. Their core questions are: how a small 300 mm×300 mm-class metal robot can achieve a compact body and low center of gravity to hold off heavier opponents, and whether a 100% invertible robot should use a base plate + standoffs + top plate sandwich structure or a bent sheet-metal shell. They also want prototyping methods for converting the cardboard model into aluminum plate cutting and drilling dimensions to avoid mistakes on the first machining attempt.
Lingxin Qiaoshou and Xbotics have opened registration for the third dexterous hand online training camp, which starts on November 1 and runs for 8 weeks with 6–8 hours of commitment per week. The hands-on project is to recreate continuous in-hand ball rotation with the O20 in MuJoCo simulation, with O30 ball rotation as an extended example.
NVIDIA released an illustrated tutorial that uses a fictional startup building a warehouse humanoid robot as an example, connecting tools including Isaac Sim, Isaac Lab, GR00T, Cosmos, and Omniverse, and covering virtual environment setup, demonstration teaching, policy training and testing, handling the Sim2Real gap, and deploying AI to real hardware. The tutorial also explains the steps between an AI model deciding to move an arm and the motor actually executing it, and the author hopes to exchange with developers who have actually used these tools about how real workflows differ from the examples.
A poster asks how to calculate the torque (in kg.cm) for each joint of a robotic arm using J=mgr in order to choose the most suitable servos, and gives the conversion 1 N·m ≈ 10.1 kg·cm. The post only lists the theoretical formula, without giving a specific robotic arm model, number of joints, or measured data, and hopes someone can guide how to apply the formula to a project or recommend a YouTube video explaining the basic concepts.
Stewy Ving has launched a free interactive robotics resource featuring 3D teardowns, component explanations, and comparisons of more than 40 humanoid robots, along with an in-depth breakdown of the robotics supply chain from raw materials to finished products. The resource is aimed at people looking to enter the robotics field and also includes supply chain content of value to experienced professionals.
This practical guide to ROS2 diagnostics and health management focuses on linking diagnostics with lifecycle management, explaining how to combine diagnostic status with node lifecycle management. Aimed at robotics developers, it is a hands-on technical tutorial; the original text does not provide a specific robot model, version number, or experimental metrics.
A practical walkthrough of bridging ROS2 and Gazebo Sim, covering how to use the ros_gz and gz_ros2_control components. It focuses on how the two are configured and work together in a simulation environment, aimed at robotics developers who need to build a ROS2 simulation pipeline.
The article systematically explains how to write and choose between the three ROS2 inter-node communication methods—topics, services, and actions—and provides example code in C++ and Python for publishers, subscribers, service servers, and action servers. It focuses on three QoS parameters: depth, reliability, and history policy, and points out that when publisher and subscriber reliability settings are incompatible, QoS silently degrades, dropping data without reporting an error. Finally, it lists common problems such as topic type mismatches, request queuing caused by time-consuming service callbacks, and unfilled message timestamps, along with troubleshooting commands.
JD.com plans to create 100,000 robot repair technician jobs over the next 5 years, promoting the transition of frontline personnel such as couriers, and has reached after-sales maintenance cooperation with nearly 100 robotics companies including AgiBot, DEEP Robotics, and EngineAI, while launching the JoyRobocare brand for the European market.
Huaner Technology's three ROS2 mobile robots, MentorPi, JetAuto, and ROSOrin, all natively support ROS2 Humble/Iron and come with examples for SLAM, 3D vision, and multimodal AI interaction.
The article notes that automation has not reduced warehouse risks; AGVs, AMRs, and forklifts sharing the same aisles have instead raised the requirements for high-visibility workwear. Provisional HSE data for 2025/26 show that 24 workers were killed after being struck by moving vehicles. UK high-visibility clothing is governed by EN ISO 20471, which has three performance classes; it should be matched to role and zone rather than habit, and the reflective layer must be worn as the outermost layer. Beyond high-visibility clothing, safety footwear, gloves, and head and hearing protection must be configured by task, and branded and color-coded workwear helps distinguish personnel roles quickly.
Daniela Shchegelskaya, an electronics and robotics engineer at Elimpus, shares two years of experience using Boston Dynamics' Spot for hazard-zone inspections in live power substations. She argues that robots should take on tasks such as carrying instruments into hazardous locations and providing more detailed viewpoints, keeping people away from danger while preserving key judgment.
The article interprets a simulator comparison report released by Manda Robotics in early October, running about ten sets of experiments with the same Franka 7-axis robotic arm and the same control program on four physics engines: PhysX, MuJoCo, MuJoCo Warp, and Genesis.
Why it matters: The article uses controlled comparison experiments under uniform conditions to show that simulator divergence is concentrated in contact forces rather than success or failure, and provides transferable troubleshooting and verification methods.
The article explains the CAN bus and CANopen protocol commonly used in industrial settings, covering frame formats, arbitration mechanisms, the object dictionary, SDO/PDO transmission, and heartbeat network management. It includes transmit and receive code for STM32F407 with a TJA1050 transceiver, a Linux SocketCAN integration example, and engineering experience and troubleshooting methods such as 500 kbps baud rate configuration, 120-ohm termination resistors, and CAN FD at up to 8 Mbps.
Hunan Viewtrix Robot exhibited its dual-machine collaborative welding workstation, humanoid welding robot, residual material intelligent scanning system, intelligent grinding workstation, and Kunwu industrial simulation platform at the 2026 China Ocean Economy Expo. The dual-machine collaborative welding workstation is equipped with SpeedWeld intelligent welding control software and has been adapted to more than 20 mainstream robot brands, including FANUC, KUKA, YASKAWA, and ABB. It supports both with-drawing and without-drawing modes, can reliably recognize highly reflective workpieces such as 0.5mm thin plates, and shortens the changeover cycle for new workpieces by 90%.
Reddit user /u/Regular_Trouble_5841 has open-sourced their complete workflow for building a four-wheel Mecanum omnidirectional robot in simulation. The repository is at https://github.com/Shass27/eternal_bot_26 (MIT license).
The authors' team successfully ran headless Isaac Lab training on H100 GPUs for humanoid robot reinforcement learning, validating it by training a walking policy for the Unitree G1.
ASPIRE (Agentic Skill Programming through Iterative Robot Exploration) is a continual learning system that autonomously writes and refines robot control programs under a code-as-policy paradigm, distilling experience into a reusable skill library.
ExtremControl proposes a low-latency whole-body control framework for humanoid robots that reduces end-to-end teleoperation latency from about 200ms to as low as 50ms. Its core is adding scaled velocity feedforward in low-level control, which cuts tracking delay by about 70ms, and operating directly on the SE(3) poses of selected rigid links to avoid joint-space retargeting; the paper also derives a closed-form Cartesian-space mapping that needs only a single anthropomorphic calibration to adapt to operators of different body proportions.
PCLA-Bridge is a deployable tool that lets unmodified CARLA Leaderboard agents run from any sensor source to any control destination without an active CARLA server.
An actuator-constraint-aware master-slave teleoperation method that jointly models master-side gravity compensation, master-slave joint mapping, and slave-side differential wrist control, addressing the problem that independent motor saturation in differential wrists disrupts pitch-roll coordination and that fixed mappings struggle with abrupt tracking changes caused by gravitational loads and actuator constraints.
This study proposes a coupled visual-motor remapping method that pairs panoramic azimuth warping with its inverse upper-limb yaw transformation for first-person teleoperation of humanoid robots, to extend the operator's reach to side and rear targets. The prototype implements two mapping modes: Global Zoom (GZ) and Focus+Context (F+C).
Reddit user /u/Double-Horse-1344 shared a differential-drive mobile robot (DDMR) obstacle avoidance project that combines Hamilton-Jacobi-Bellman (HJB) with Borenstein & Koren's virtual force field (VFF) method and Fast Marching Square.
A Reddit user built a home RGB + iToF depth setup using a 320×240 epc660-class iToF engineering sample, a fixed Pi camera, and Ouster reference scans. After raising exposure from 500 to 2,000 µs, filtered jitter dropped from 65 to 6 mm and raw jitter from 85 to 28 mm, but straight walls still bow 12–14 cm, and three modulation frequencies report 4.14, 3.92, and 3.97 m for the same wall.
Inspection of automated storage and retrieval systems (ASRS), high-bay racking, shuttle and mobile racking has become more difficult. Failure modes have shifted from forklift impacts to rail misalignment, wear on shuttle and stacker crane rails, and fatigue at points of repeated loading. Continuous monitoring, machine vision and drone imagery can provide early warning, but they cannot replace a SEMA-approved qualified inspector (SARI) making structural safety judgments under the green/amber/red three-level risk system.
A Reddit user designed a cookie pick-and-place line made up of 12 KUKA delta robots that place cookies into trays, and is currently running into problems with failed picks, crumbs and grease, and cycle times that are too slow. Some cookies cannot be picked up because of insufficient airflow, and the user is considering increasing the cylinder diameter of the gripping system; when the suction cups pick up cookies, they bring up crumbs and grease, but switching to a hand-like gripper would crush adjacent cookies on the conveyor. The line's programmer says the tray conveyor and robot speeds need to be increased in sync to shorten the waiting time for placing, but the user believes this approach cannot solve the existing problems.
The Shenzhen Robotics Association reposted news from EngineAI that EngineAI has open-sourced a full end-to-end reinforcement learning (RL) autonomous navigation pipeline that lets PM01 find its own way. The original body text contains only an association introduction and source attribution; it does not provide specific technical details, a code address, or performance data for the pipeline.
This tutorial explains how to build a robot simulation environment with ROS2 and Gazebo, covering URDF modeling, lidar and differential drive plugin configuration, SDF world editing, and sensor noise injection. It highlights common pitfalls such as use_sim_time, the TF tree, and physical parameter calibration, and presents advanced directions including multi-robot simulation, hardware-in-the-loop, and CI automated testing, helping developers validate algorithms such as Nav2 and SLAM in simulation before migrating to real hardware.
The paper proposes a flow control method for VLA models that steers robot actions in real time through generic inputs such as a keyboard, without retraining or fine-tuning the VLA. The method writes user input into the initial condition of the VLA's flow matching action expert; because the flow is deterministic, the generated actions both reflect user intent and stay close to the VLA's own unsteered actions.
A robot's power architecture determines the reliability of sensors, compute modules, and the whole machine under real operating conditions, yet most teams treat the power supply as a solved standard part and overlook it. The article gives four key metrics for reading a regulator datasheet (load transient response, dropout voltage, thermal derating curve, and switching-frequency ripple), plus an engineering order for part selection and troubleshooting. The author recommends first plotting the current curve over a complete duty cycle, separating noisy from sensitive loads and running limit-condition tests, and prioritizing investigation of two fault classes: shared rails and thermal derating.