Louis LE LAY

A ROS2 controller for a UR arm leveraging IsaacLab's trained policy for sim-to-real reaching tasks.

Codebase for Kinova Gen3 training in Isaac Lab, sim2real transfer and ROS deployment.

Simulate a mobile robot equipped with a 3D LiDAR sensor in Gazebo Classic, using ROS2 for integration.

A fast and simple implementation of RL algorithms, designed to run fully on GPU.

https://louislelay.github.io/

SMPL-X

[arXiv 2025] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.

Repository for the USD Description file of the BD-X robot from Disney

PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers

PACE: A systematic approach for sim-to-real transfer of legged robots, identifying actuator and joint dynamics with standard joint encoders.

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.

LiDAR detection package for ROS2

ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.

Unified framework for robot learning built on NVIDIA Isaac Sim

Designed and built a wheeled bipedal robot using 3D printing, programmed with ROS2.

A curated list of awesome robot descriptions (URDF, MJCF)

A Best-of-list of Robot Simulators, re-generated weekly on Wednesdays

Provides a ROS 2 control hardware interface for the MuJoCo physics simulator, including plugins for various sensors, RGB-D cameras, and lidar.

ros2_control hardware interface for Feetech Servos

ROS Wrapper for Intel(R) RealSense(TM) Cameras

No description provided.

A Docker setup for ROS (Robot Operating System) Kinetic, Melodic and Noetic with a full desktop environment, providing a ready-to-use development and simulation environment for robotic applications.

CAD, URDF & USD Files for the BDX-R Robot

Isaaclab Reinforcement Learning for the BDX-R Robot

Train a Unitree G1 humanoid to perform a double spin kick using mjlab

C++ programming, using OpenCV, to process and analyze a video sequence of road traffic.

This project aims to enhance the robot's ability to associate its surroundings with objects, thereby imbuing them with meaning, and subsequently applying SLAM (Simultaneous Localization and Mapping) techniques.

The goal is to create a robotic assistive system designed to aid individuals in standing up from a soft chair.

The CAD on SOLIDWORKS of a robot inspired by Jansen's designs

Enabled recognition and tracking of a specific person's face amidst a group using a pan-tilt camera.