Tien Kung-Lab: Direct IsaacLab Workflow for Legged Robots
-
Updated
Jul 15, 2026 - Python
#
sim2sim
Here are 20 public repositories matching this topic...
Sort: Most stars
Sort options
Codebase for Kinova Gen3 training in Isaac Lab, sim2real transfer and ROS deployment.
reinforcement-learning robotics ros ros2 kinova ppo sim2real isaac-sim kinova-robotics kinova-simulation sim2sim isaac-lab
-
Updated
Jul 28, 2025 - Python
IsaacLab to Mujoco GO2 deploy, IsaacLab to Real world GO2 deploy
deployment deploy parkour sim2real mujoco-environments locomotion-control sim2sim mujoco-python unitree-go2
-
Updated
Sep 9, 2025 - Python
Deploying a quadruped robot policy(DreamWaQ, walk-these-ways, HIMLoco) trained in Isaacgym to ROS2 Gazebo for Sim-to-Sim
-
Updated
Nov 20, 2025 - Python
Automatic Domain Randomization (ADR) proposed in "Solving Rubik's Cube with a Robot Hand"
reinforcement-learning robotics simulation sim2real domain-randomization reality-gap sim2sim automatic-domain-randomization
-
Updated
May 18, 2023 - Python
Deep Reinforcement Learning and Imitation Learning with sim2sim exploration and behavior cloning
deep-reinforcement-learning behavioral-cloning imitation-learning gymnasium proximal-policy-optimization ppo policy-network sim2sim hopper-v4 ant-v4
-
Updated
Nov 24, 2023 - Python
DDC (Deployable Dynamic-CoM): a unified policy and method-agnostic sim2sim benchmark for humanoid single-leg stance; deploys on a real Unitree G1. arXiv:2608.00500
reinforcement-learning humanoid-robot humanoid legged-robots mujoco sim2sim unitree-g1 humanoidbench single-leg-balance
-
Updated
Aug 20, 2026 - Python
Repository created using https://github.com/google-deepmind/mujoco_playground as base in order to add the Go2 walking and handstand policies. It contains the code to train and simulate the policy.
-
Updated
Jan 30, 2026 - Jupyter Notebook
Velocity tracking and sim-to-sim transfer for Unitree H1 humanoid locomotion using reinforcement learning.
reinforcement-learning-algorithms locomotion mujoco humanoid-robotics sim2sim isaac-lab velocity-tracking unitree-h1
-
Updated
Jul 5, 2026 - Python
Lightweight repo for getting started with learning to control the Unitree G1 humanoid robot with sim2sim (mujoco & isaac lab) and sim2real policy validation.
-
Updated
May 13, 2026 - Python
Navegación autónoma basada en Redes Neuronales
machine-learning neural-network robotics matlab poo agents obstacle-avoidance artificial-inteligence sim2sim
-
Updated
Jun 7, 2026 - MATLAB
Policy-driven robotics simulation experiments with measurable task execution, physics validation, and simulator-to-simulator testing.
-
Updated
Aug 17, 2026 - Python
The code & files for the article "Metrics for Assessing Generalization of Deep Reinforcement Learning in Parameterized Environments".
-
Updated
Dec 27, 2023 - Jupyter Notebook
Unitree Go2 Tier-1 RoboPay profile — 9 priced embodied skills (wave, sit, stand, stop, bow, nod, turn_to_face, hold, navigate_obstacle) on MuJoCo + PyBullet sim-to-sim (measured ≤0.02 cm) + Webots R2025a harness, x402 payment gate, durable replay, and live Base Sepolia EIP-3009 settlement proof.
-
Updated
Aug 16, 2026 - Python
DM-Dog-RL is a reinforcement-learning locomotion project for a Damiao-motor quadruped robot. It contains both the training stack and the real-robot ROS deployment workspace.
reinforcement-learning robotics deep-reinforcement-learning pytorch mujoco sim2real robot-simulation onnxruntime quadruped-robot ros-noetic robot-dog sim2sim legged-locomotion isaac-lab
-
Updated
Jul 1, 2026 - Python
GEAR-SONIC adaptation for the 23-DoF Galaxea Kengo; restricted robot assets are pinned through a private submodule.
-
Updated
Sep 3, 2026 - Python
Modify Tien Nghich Mobile game values and gameplay parameters using this Android script utility.
mysql android game python readme ios django deep-learning dotnet flutter management-system humanoid-robot report-template pipenv github-config isaacsim sim2sim accounting-reports tienkung
-
Updated
Sep 5, 2026 - HTML
Add this topic to your repo
To associate your repository with the sim2sim topic, visit your repo's landing page and select "manage topics."