<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robotics on Noureddine RAMDI</title><link>https://ramdi.fr/tags/robotics/</link><description>Recent content in Robotics on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/robotics/index.xml" rel="self" type="application/rss+xml"/><item><title>Deep dive into MicroManipulatorStepper: submicron precision from magnetic gearing and closed-loop stepper control</title><link>https://ramdi.fr/github-stars/deep-dive-into-micromanipulatorstepper-submicron-precision-from-magnetic-gearing-and-closed-loop-stepper-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deep-dive-into-micromanipulatorstepper-submicron-precision-from-magnetic-gearing-and-closed-loop-stepper-control/</guid><description>MicroManipulatorStepper achieves 50nm step resolution with low-cost steppers via magnetic gearing and 30kHz closed-loop PWM. Explore its architecture, firmware, and precision tradeoffs.</description></item><item><title>DiT4DiT: Vision-Action Modeling with Video Transformers for Real-Time Humanoid Robot Control</title><link>https://ramdi.fr/github-stars/dit4dit-vision-action-modeling-with-video-transformers-for-real-time-humanoid-robot-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dit4dit-vision-action-modeling-with-video-transformers-for-real-time-humanoid-robot-control/</guid><description>DiT4DiT uses a frozen Cosmos-Predict2.5 video transformer backbone combined with flow-matching action heads to model robot actions as video latent transitions, achieving near-perfect success on LIBERO and real-time humanoid control.</description></item><item><title>Exploring autonomy_stack_go2: A ROS2 and Unity-based autonomous vehicle simulation stack</title><link>https://ramdi.fr/github-stars/exploring-autonomy-stack-go2-a-ros2-and-unity-based-autonomous-vehicle-simulation-stack/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-autonomy-stack-go2-a-ros2-and-unity-based-autonomous-vehicle-simulation-stack/</guid><description>autonomy_stack_go2 is a C++ ROS2 stack integrated with Unity for autonomous vehicle simulation. Supports ROS2 Foxy and Humble with waypoint navigation in RVIZ.</description></item><item><title>Exploring GMR: real-time cross-embodiment human motion retargeting for humanoid robots</title><link>https://ramdi.fr/github-stars/exploring-gmr-real-time-cross-embodiment-human-motion-retargeting-for-humanoid-robots/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-gmr-real-time-cross-embodiment-human-motion-retargeting-for-humanoid-robots/</guid><description>GMR is a Python library that retargets human motion from multiple formats onto 17+ humanoid robots in real time on CPU, tuned for RL tracking policies and whole-body teleoperation.</description></item><item><title>FusionCore: A robust ROS 2 Unscented Kalman Filter for sensor fusion with adaptive GPS outlier rejection</title><link>https://ramdi.fr/github-stars/fusioncore-a-robust-ros-2-unscented-kalman-filter-for-sensor-fusion-with-adaptive-gps-outlier-rejection/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/fusioncore-a-robust-ros-2-unscented-kalman-filter-for-sensor-fusion-with-adaptive-gps-outlier-rejection/</guid><description>FusionCore is a ROS 2 SDK implementing an Unscented Kalman Filter that fuses IMU, wheel encoders, and GPS at 100 Hz with adaptive noise covariance and robust GPS outlier rejection.</description></item><item><title>Genesis-world: a high-throughput unified physics engine for robotics simulation and embodied AI</title><link>https://ramdi.fr/github-stars/genesis-world-a-high-throughput-unified-physics-engine-for-robotics-simulation-and-embodied-ai/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/genesis-world-a-high-throughput-unified-physics-engine-for-robotics-simulation-and-embodied-ai/</guid><description>Genesis-world delivers 43 million FPS on RTX 4090, unifying multiple physics methods with GPU acceleration and a pythonic API. It supports differentiable sim and natural language-driven data generation for robotics.</description></item><item><title>GenZ-ICP: robust LiDAR odometry with adaptive weighting for degenerate geometries</title><link>https://ramdi.fr/github-stars/genz-icp-robust-lidar-odometry-with-adaptive-weighting-for-degenerate-geometries/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/genz-icp-robust-lidar-odometry-with-adaptive-weighting-for-degenerate-geometries/</guid><description>GenZ-ICP enhances LiDAR odometry by introducing an adaptive weighting scheme for ICP registration, improving robustness in challenging environments like tunnels and open fields. It builds on KISS-ICP with Python and ROS integration.</description></item><item><title>GS-Playground: High-throughput photorealistic simulation for vision-based robot learning</title><link>https://ramdi.fr/github-stars/gs-playground-high-throughput-photorealistic-simulation-for-vision-based-robot-learning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gs-playground-high-throughput-photorealistic-simulation-for-vision-based-robot-learning/</guid><description>GS-Playground combines 3D Gaussian Splatting rendering with a velocity-impulse physics engine to enable large-scale visual reinforcement learning at up to 10^4 FPS. Preview release with core simulation API and demos.</description></item><item><title>Inside AlohaMini: a Python-powered open-source mini robotic arm project</title><link>https://ramdi.fr/github-stars/inside-alohamini-a-python-powered-open-source-mini-robotic-arm-project/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-alohamini-a-python-powered-open-source-mini-robotic-arm-project/</guid><description>AlohaMini is an open-source project combining hardware and Python software to build and teleoperate a mini robotic arm. It covers 3D printing, assembly, and control.</description></item><item><title>Inside NavDP: A diffusion policy approach to mapless robot navigation with sim-to-real transfer</title><link>https://ramdi.fr/github-stars/inside-navdp-a-diffusion-policy-approach-to-mapless-robot-navigation-with-sim-to-real-transfer/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-navdp-a-diffusion-policy-approach-to-mapless-robot-navigation-with-sim-to-real-transfer/</guid><description>NavDP uses a diffusion policy architecture with privileged information to achieve mapless robot navigation across simulated and real environments without real-world training data.</description></item><item><title>Inside Poppy Humanoid: an open-source 3D-printed humanoid robot platform with Python control</title><link>https://ramdi.fr/github-stars/inside-poppy-humanoid-an-open-source-3d-printed-humanoid-robot-platform-with-python-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-poppy-humanoid-an-open-source-3d-printed-humanoid-robot-platform-with-python-control/</guid><description>Poppy Humanoid is an open-source 3D-printed humanoid robot controlled via Python and Jupyter Notebooks, designed for research and education in embodied cognition and sensorimotor learning.</description></item><item><title>Learning autonomous mobile robots with ROS 2: a hands-on course companion</title><link>https://ramdi.fr/github-stars/learning-autonomous-mobile-robots-with-ros-2-a-hands-on-course-companion/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/learning-autonomous-mobile-robots-with-ros-2-a-hands-on-course-companion/</guid><description>This repo complements a ROS 2 course with hands-on C++/Python exercises, Gazebo simulation, and real robot control focusing on localization, mapping, and obstacle avoidance.</description></item><item><title>NASA JPL Open Source Rover: A hands-on educational robotics platform</title><link>https://ramdi.fr/github-stars/nasa-jpl-open-source-rover-a-hands-on-educational-robotics-platform/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nasa-jpl-open-source-rover-a-hands-on-educational-robotics-platform/</guid><description>Explore NASA JPL&amp;rsquo;s Open Source Rover, a comprehensive educational robotics platform combining hardware assembly and software control on Raspberry Pi. A practical guide for robotics enthusiasts.</description></item><item><title>4DGen: geometry-consistent multi-view RGB-D video generation for robotic manipulation</title><link>https://ramdi.fr/github-stars/4dgen-geometry-consistent-multi-view-rgb-d-video-generation-for-robotic-manipulation/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/4dgen-geometry-consistent-multi-view-rgb-d-video-generation-for-robotic-manipulation/</guid><description>4DGen extends Stable Video Diffusion to generate geometry-consistent multi-view RGB-D videos from single RGB-D inputs using pointmap latents. Trained on multi-view robotic datasets, it enables robot pose extraction from generated videos.</description></item><item><title>DAAAM: real-time foundation-model-driven 3D dynamic scene graph construction for robot mapping</title><link>https://ramdi.fr/github-stars/daaam-real-time-foundation-model-driven-3d-dynamic-scene-graph-construction-for-robot-mapping/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/daaam-real-time-foundation-model-driven-3d-dynamic-scene-graph-construction-for-robot-mapping/</guid><description>DAAAM builds real-time 3D dynamic scene graphs using foundation models like SAM and VLMs, targeting large-scale robot mapping with semantic and spatio-temporal memory.</description></item><item><title>Deploying RL-trained motion tracking policies on legged robots with motion_tracking_controller</title><link>https://ramdi.fr/github-stars/deploying-rl-trained-motion-tracking-policies-on-legged-robots-with-motion-tracking-controller/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/deploying-rl-trained-motion-tracking-policies-on-legged-robots-with-motion-tracking-controller/</guid><description>motion_tracking_controller is a C++ ROS 2 package deploying RL-trained motion tracking policies on legged robots with ONNX inference and embedded robot control metadata.</description></item><item><title>Inside Genie Envisioner: A two-stage video diffusion platform for robotic manipulation</title><link>https://ramdi.fr/github-stars/inside-genie-envisioner-a-two-stage-video-diffusion-platform-for-robotic-manipulation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-genie-envisioner-a-two-stage-video-diffusion-platform-for-robotic-manipulation/</guid><description>Genie Envisioner offers a two-stage training pipeline using video diffusion for robotic manipulation, separating world model adaptation from action policy learning. Here&amp;rsquo;s how it works and how to get started.</description></item><item><title>Inside Ragtime_Panthera: a C++ 6-DOF robotic arm with plans for 7-DOF dexterity</title><link>https://ramdi.fr/github-stars/inside-ragtime-panthera-a-c-6-dof-robotic-arm-with-plans-for-7-dof-dexterity/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ragtime-panthera-a-c-6-dof-robotic-arm-with-plans-for-7-dof-dexterity/</guid><description>Ragtime_Panthera is an open-source 6-DOF robotic arm with integrated gripper, built in C++ with Python tutorials. Discover its architecture, control stack, and the move to 7-DOF for more dexterity.</description></item><item><title>Inside Spider: physics-based motion retargeting from human videos to diverse robots</title><link>https://ramdi.fr/github-stars/inside-spider-physics-based-motion-retargeting-from-human-videos-to-diverse-robots/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-spider-physics-based-motion-retargeting-from-human-videos-to-diverse-robots/</guid><description>Spider retargets human motion to multiple robots using a modular physics pipeline with inverse kinematics and optimization, supporting 9+ robots and 6+ datasets out of the box.</description></item><item><title>A hands-on guide to classical autonomous vehicle control algorithms in Python</title><link>https://ramdi.fr/github-stars/a-hands-on-guide-to-classical-autonomous-vehicle-control-algorithms-in-python/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-hands-on-guide-to-classical-autonomous-vehicle-control-algorithms-in-python/</guid><description>Explore a Python repo implementing classical autonomous vehicle algorithms as transparent simulations. Covers localization, mapping, planning, and path tracking with visualizations.</description></item><item><title>Inside Asimov v1: an open-source humanoid robot with dual-compute control and MuJoCo simulation</title><link>https://ramdi.fr/github-stars/inside-asimov-v1-an-open-source-humanoid-robot-with-dual-compute-control-and-mujoco-simulation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-asimov-v1-an-open-source-humanoid-robot-with-dual-compute-control-and-mujoco-simulation/</guid><description>Asimov v1 is an open-source 1.2m humanoid robot with dual-compute architecture and MuJoCo simulation. Explore its hardware design, CAN bus system, and simulation model for robotics development.</description></item><item><title>Inside DJI's RoboMaster-SDK: A C Library for Educational Robot Control</title><link>https://ramdi.fr/github-stars/inside-dji-s-robomaster-sdk-a-c-library-for-educational-robot-control/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-dji-s-robomaster-sdk-a-c-library-for-educational-robot-control/</guid><description>DJI&amp;rsquo;s RoboMaster-SDK is a C library providing hardware abstraction for the RoboMaster EP educational robot, enabling motor and sensor control via a minimal API.</description></item><item><title>Inside ToddlerBot: an open-source Python platform for multi-skill humanoid locomotion with depth-based skill classification</title><link>https://ramdi.fr/github-stars/inside-toddlerbot-an-open-source-python-platform-for-multi-skill-humanoid-locomotion-with-depth-based-skill-classification/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-toddlerbot-an-open-source-python-platform-for-multi-skill-humanoid-locomotion-with-depth-based-skill-classification/</guid><description>ToddlerBot offers a full Python stack for training, classifying, and deploying multi-skill humanoid locomotion policies using stereo depth data and reinforcement learning.</description></item><item><title>Kame32: A Minimalist C++ Robotics Project with Room to Grow</title><link>https://ramdi.fr/github-stars/kame32-a-minimalist-c-robotics-project-with-room-to-grow/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/kame32-a-minimalist-c-robotics-project-with-room-to-grow/</guid><description>Kame32 is a C++ robotics repo targeting embedded real-time control on 32-bit microcontrollers. Its sparse docs highlight a common open-source gap in embedded robotics: solid code, limited onboarding.</description></item><item><title>MR.ScaleMaster: heterogeneous multi-robot monocular SLAM fusion via Sim(3) optimization</title><link>https://ramdi.fr/github-stars/mr-scalemaster-heterogeneous-multi-robot-monocular-slam-fusion-via-sim-3-optimization/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mr-scalemaster-heterogeneous-multi-robot-monocular-slam-fusion-via-sim-3-optimization/</guid><description>MR.ScaleMaster fuses scale-ambiguous monocular SLAM trajectories from multiple robots using Sim(3) graph optimization, enabling heterogeneous SLAM frontends and consistent global maps.</description></item><item><title>Super-LIO: A structured mapping LiDAR-Inertial Odometry system for faster real-time navigation</title><link>https://ramdi.fr/github-stars/super-lio-a-structured-mapping-lidar-inertial-odometry-system-for-faster-real-time-navigation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/super-lio-a-structured-mapping-lidar-inertial-odometry-system-for-faster-real-time-navigation/</guid><description>Super-LIO improves LiDAR-Inertial Odometry with a compact mapping strategy that speeds up correspondence search by 1.2-4x. It supports ROS1/2 and targets Livox Mid-360 sensors.</description></item></channel></rss>