Stars
Environments in isaaclab for vision language action models
A simple joints calibration routine for facilitating sim-to-real transfer from isaaclab to real robots
Vision based RL agent to control a UR5 arm in Human-Robot collaborative environments
One-Step Integration of AMP into IsaacLab
Isaaclab-based grasp learning test bench
This is Unitree Go2 simulation in NVIDIA IsaacLab/Isaac-Sim using ROS2 for Navigation and other tasks
本项目是 ROBOCON2026 IsaacacSim 仿真环境，基于 Isaac Lab 开发，集成了重庆邮电大学 HXC 战队在 rcbbs 分享的 3D 模型，用于机器人算法开发与测试。
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
Very simple MuJoCo Pick and Place task using Panda
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.
These tutorials cover a variety of common robotics tasks and controllers, providing a comprehensive introduction to using Mujoco for robotics simulation. Each tutorial is designed to be self-contai…
Sim-to-Real Transfer for Vision-Based Pick-and-Place
Code for DreamControl: Human-inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion
一个基于✨HOOK机制的微信机器人，支持🌱安全新闻定时推送【FreeBuf，先知，安全客，奇安信攻防社区】，👯Kfc文案，⚡备案查询，⚡手机号归属地查询，⚡WHOIS信息查询，🎉星座查询，⚡天气查询，🌱摸鱼日历，⚡微步威胁情报查询， 🐛美女视频，⚡美女图片，👯帮助菜单。📫 支持积分功能，⚡支持自动拉人，⚡检测广告，🌱自动群发，👯Ai回复，😄自定义程度丰富，小白也可轻松上手！
設計一個草莓採摘機器人，能在真實環境採摘成熟草莓，為此，我們在isaac sim 平台建置虛擬環境，訓練與控制機器人學會以yolo影像辨識的方式到達目的地，之後將訓練好的決策模型部屬到草莓採摘機器人上。
Reinforcement Learning and Sim-to-Real transfer for autonomous parking. Physical construction of a mobile robot to test the Sim-to-Real transfer. The goal of this physical robot is to implement a r…
采用松灵机械臂在Mujoco环境下实现Yolo-world+Sam+Graspnet传统抓取方法