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.
Someone on Reddit r/robotics asked how to define a "usable" human demonstration clip before collecting data. The author's initial checklist includes: whether the target object is visible at grasp onset, contact, and release; how to define task start and end points; whether the hand stays in frame throughout; and whether to split holdout sets by person or by site rather than by clip. The author also asks people with experience training on demonstration data which item most often causes rework and what they themselves missed.
A mechatronics engineering student plans to build a 9-bit absolute encoder with an Arduino Uno, aiming to cover 360 degrees with one position per degree using Gray code. A 9-bit Gray code yields 512 states; he is unsure how to map these to 360 degrees and is also struggling to find a 3D model of a 9-bit Gray code wheel, so he is asking for help on Reddit r/robotics.
The author's open-source locomotion controller for a self-designed quadruped robot has been updated with a vision-based foothold selection method, currently demonstrated in MuJoCo simulation.
Session 172 of the RLChina Paper Seminar was livestreamed on Bilibili and Tencent Meeting on October 20, 2026, 16:00-17:00 (UTC+8), hosted by Zhao Hanye, a PhD student at Shanghai Jiao Tong University, with Zhang Wenhao and Cao Jiahang each presenting one of the two studies.
The Xbotics Embodied AI Lab has released Lecture 6 of its 21-lecture series, explaining the complete perception pipeline from RGB-D observations to grasp poses, with accompanying code in the GitHub repository Xbotics-Embodied-AI-club/Xbotics-Embodied-AI-Handbook.
A team from Nanyang Technological University used a system combining the AgileX PiPER-X robotic arm and the Zhishen Technology Tongchui M1 quadruped robot to win the championship and the Best Autonomous Capability Award at the IROS 2026 LRC legged robot challenge, with the task scenario being local hazardous chemical label recognition.
Analog Devices, together with EE Times China, has released an October special report, "[Engineer Must-Read] A Guide to Breaking Through the Full-Stack Robotics Technology Barrier," totaling 36 pages. Aimed at developers of AMRs, robotic arms, and humanoid robots, it is available for free download with no registration required.
hb_verifier in the Horizon Journey 6 algorithm toolchain is a model consistency verification tool used to locate errors introduced during model optimization, quantization, or compilation.
Westwood Robotics has released Episode 06 of its BEAR series actuator firmware flashing and calibration tutorial, demonstrating step by step the entire process from connecting the actuator to completing the full calibration procedure. BEAR actuators ship with firmware pre-installed and calibrated, ready to use out of the box; this tutorial is only needed when updating firmware or when recalibration is required. The tutorial includes links to documentation, the STM32 download, the BEAR Calibration Tool, and the online store.
An AI engineer has open-sourced roboreview, a tool for annotating factory videos captured by head-mounted cameras for robot imitation learning, cutting the annotation time for a 5-minute clip from 40-50 minutes to 5 minutes. The workflow first uses a small model to predict each step, then confirms or fine-tunes the start and end points one by one in a review app; the review results are exported as training data and used to retrain the model.
A world-model resource repository lays out an advancement path from conceptual introduction and theoretical foundations to hands-on coding, must-read papers, and open-source projects. It covers introductory tutorials, 14 must-read beginner papers with source code, 101 papers from top conferences in 2026, and 20 papers with source code for each of 5 trending directions: world models + VLA, reinforcement learning, agents, world action models, and video world models.
The Asimov 1 team has released an updated user manual, a step-by-step guide from parts to a robot that stands and walks, with each assembly step accompanied by a rotatable 3D visual. Asimov 1 is built with off-the-shelf components, so users can source the parts themselves and build it from scratch. The manual is at docs.menlo.ai/asimov/1/overview, and the code is in the GitHub repository menloresearch/asimov-1.
Cooling for compact servo drives and controllers must be evaluated at the system level, not by looking at individual components alone. Thermal design should start with a heat budget: for example, with 45 W of heat dissipation, 35°C air temperature, and a 65°C baseplate limit, the allowable thermal resistance is about 0.67°C/W, and the heatsink should be selected accordingly. Once a fan is installed inside an enclosure, airflow resistance increases, creating a tradeoff between fin density and airflow, while natural convection depends more on fin orientation and spacing.
Small differences in part dimensions and shape can cause automated production lines to stop frequently, misjudge good parts, or miss defective ones, because each station sets its path, fixtures, and force limits for a single nominal part. Differences such as stamping burrs, injection-molding flash, and machining dimensional drift accumulate; at Cp 1.00, about 0.27% of parts are out of tolerance, and at Cp 1.33 this falls to about 64 per million.
Issue 170 of the official Raspberry Pi magazine presents a collection of Halloween projects built around the Raspberry Pi Pico, including Pimoroni's Pico Unicorn Pack light strip and the Wireless Plasma Kit (featuring the Plasma 2350 W controller).
A MuJoCo digital-twin simulation demo connects the open-source vision-language navigation model LightNav-0 to a DM-H65 two-wheel differential robot, with the goal of "finding the refrigerator in the room and stopping next to it." It runs entirely locally on a Jetson AGX Orin 32GB (Seeed reComputer Robotics J501), and the closed loop includes 17 model predictions, covering replanning and recovery when the path expires.
On the occasion of Kollmorgen NDC Solutions' 30 years in China, three cases—warehousing and logistics, cold chain, and ceramics—demonstrate mobile robots moving beyond traditional manufacturing scenarios.
Shenlan College will hold a livestream on October 21 titled "Robot Motion Control from Two-Stage to One-Stage," featuring Ye Lei, a PhD student jointly trained by Harbin Institute of Technology and Shanghai Innovation Institute. Centered on three works—KCFRC, PegasusFlow, and PredActor—the session will explain how robot motion control moves from a two-stage approach of planning first and then tracking to a one-stage approach that jointly generates states and actions.
An arXiv paper proposes the Hardware-as-Regularization method, which uses a low-cost passive joint module (an adjustable mechanical clutch plus a 3D-printed spiral spring) to pull each joint toward a user-defined neutral posture, so that the passive restoring force acts as a physical prior for joint-space L2 regularization.
This work proposes a visuomotor imitation learning pipeline for pedicel-targeted strawberry harvesting that unifies perception, motion planning, and contact manipulation: data is collected from human teleoperation demonstrations, an Action Chunking with Transformers (ACT) policy with a ResNet-50 visual backbone is trained, and the policy is deployed autonomously on a Jetson AGX Orin edge platform at 15 Hz.
Reddit user /u/D3rlordXOMAHA is asking for help designing a rover with 2 flippers at the front, focusing on the mechanical design of the trackpads for the drive wheels and flippers. The author has previously done only lower-level mechanical design such as electrical boxes, paint cans, and pen holders, and this is their first time working at this level; they are seeking advice on track clearance design and overall drive system design efficiency.
Reddit user deemco posted asking for help, saying they have no idea how to build a robot from scratch and are currently stuck on hardware connections and system integration, hoping to get all the parts working together. They envision building a flying companion robot and plan to use parts such as motors, a camera, a screen, and a Raspberry Pi, and they hope to get a low-cost parts list.
An online diagnostics toolkit for drones has launched an open-source collaboration on Reddit r/robotics. Tasks are broken into numbered items, and contributors can take one on and submit a PR to participate.
Reddit user /u/lazyenergetic is asking for help designing a mounting bracket for two motors, hoping to find two mounting hole positions on the same plane and only considering a single-hole solution as a last resort. The robot's total weight (excluding motors) needs to stay under 100 pounds, and the poster has metal cutting and welding capabilities.
This article systematically explains how to choose brushless DC (BLDC) motors for robotic arms and mobile robots, emphasizing that selection should start from the mechanical load rather than the controller catalog, and covering torque calculation, commutation methods (six-step, sine, FOC), feedback architecture, communication interfaces, and safety design. The article provides a ten-step selection process, a decision table for control schemes in different application scenarios, as well as debugging verification and an engineer checklist.
An analysis aimed at robot selection points out that wrist geometry (inline wrist, offset wrist, collaborative robot layout) determines the behavioral differences in production among robots with the same payload and the same reach. In an inline wrist, joints 4, 5, and 6 intersect at a single point, supporting analytical inverse kinematics and offline programming; an offset wrist provides a larger orientation envelope for long tools (spray guns, welding guns, grinding heads), but increases the complexity of inverse kinematics and singularity analysis.
A mechatronics graduate posted on Reddit for help: their graduation project involved leading the control system for a 20+ DOF humanoid robot using ROS, Gazebo, RViz, and C++. They want to choose one direction to go deeper in: real-robot control, embedded systems, navigation and SLAM, manipulation, or reinforcement learning. They ask about suitable learning paths, which books, courses, and open-source projects are worth the time and which to skip, hands-on projects that can demonstrate ability, and common skill gaps for people with this background.
The Reddit robotics community discusses servo drive packaging options for compact robotic joints: panel-mount drives are easier to maintain and dissipate heat, but wiring the high-current motor phase lines and encoder lines for 6 joints is complex; some developers are considering abandoning a central control cabinet and instead integrating miniature PCB-mount drives such as Elmo and Synapticon directly onto custom joint carrier boards. The discussion focuses on whether the simplified wiring is worth the cost in heat dissipation and maintainability.
Using the Qinglong configuration as a case study, this work derives the construction methods for the center-of-mass model, zero-moment point constraints, receding-horizon quadratic programming, and task-priority force distribution in humanoid robot motion control. The method was validated in real physics simulation for locomotion performance in walking, speed variation, stair climbing, jumping, and disturbance-rejection scenarios.
RobotMCP is aimed at letting general-purpose large models discover, subscribe to, and call an existing ROS/ROS2 system without modifying the robot's source code. The core conflict it addresses is that, in the past, connecting large models to robots often required changing code on the robot side. The original article breaks down RobotMCP's dependency chain and protocol layers.
RoboTTT targets a structural flaw in robot foundation models: mainstream policies such as VLA struggle to remember things that happened earlier. It proposes using fast weights and context scaling to improve long-horizon memory. The original text is an excerpt from an introduction and does not provide full experimental details.
Niantic Spatial and Flexion have jointly launched a simulation data collection solution based on 3D Gaussian Splatting, aimed at alleviating the contradiction in humanoid robot training: millions of interactions are needed, yet the physical world does not allow repeated trial and error. The solution reconstructs real scenes via 3D Gaussian Splatting, providing a simulation data source that allows repeated trial and error for robot learning.
The article breaks down τ₀-VLA, a hierarchical robot foundation model open-sourced on July 27, 2026 by Luo Jianlan's team at the Shanghai Innovation Institute (SII). The model targets long-horizon mobile manipulation on the order of ten minutes in home scenarios, such as meal prep, folding and storing clothes, and tidying across rooms. Its core idea is to turn "what should the next subtask be" into a reasoning problem that can be scaled with more compute.
The Dense-Armor project has open-sourced the SONAR (SGD-based One-Class Novelty detection with Approximate RBFs) module, which uses random Fourier features (RFF) to approximate an RBF kernel and adds strongly convex regularization, allowing the one-class boundary to be updated per sample via online SGD to detect whether robot joint residuals deviate from a healthy state.
Starting from the instability mechanism of a rolling inverted pendulum, the article explains why two-wheeled-legged robots must rely on wheel rolling to maintain balance, and presents the complete mathematical formulation of proximal policy optimization (PPO). Using a real training experiment of three million steps, the author shows the policy's progression from random jitter to standing in place and moving toward a target.
Based on the MJX parallel reinforcement learning stack in MuJoCo Playground, the four-fingered dexterous in-hand reorientation task was reproduced, using official ONNX weights to deploy the C engine and complete eight rounds of real inference along with failure boundary analysis.
A complete reproduction of the Action Chunking Transformer (ACT), implemented with LeRobot, on the MuJoCo dual-arm block handover task, covering the CVAE and action-chunking derivations, frame-by-frame comparison against the dataset to validate the inference pipeline, and a 20-episode deterministic closed-loop evaluation with a comparison of execution modes.
The SONIC method performs deterministic closed-loop runs in MuJoCo simulation on released checkpoints for the G1 humanoid robot, reproducing general control with whole-body motion tracking as the base task. The method unifies motion representation, adopts a tokenized conditional policy and Gaussian kernel rewards, and presents real footage and error metrics for multiple skill entries.