Collection of quadrupedal robots configured to work in CHAMP development framework
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Updated
Aug 19, 2024 - C
Collection of quadrupedal robots configured to work in CHAMP development framework
A simulation environment made in Gazebo to estimate lidar odometry performances under different lidar specifications
A legged locomotion project
Personal Website of Marko Bjelonic
GPU-parallel RL training workspace for NVIDIA Isaac Lab: ANYmal locomotion + Franka reach with RSL-RL PPO, scripts, and 8GB-VRAM defaults.
Mujoco simulation of ANYmal C with the purpose to validate and evaluate the haptiquad library, capable of estimating ground reaction forces and base rench
Waypoint-based trajectory tracking for quadruped robots using Quadruped-PyMPC
Deep-RL hierarchical controller enabling an ANYmal B quadruped to self-right from any fall and resume walking (TRPO, MuJoCo). MVA Robotics project.
Rosbag interface with the purpose to validate and evaluate the haptiquad library, capable of estimating ground reaction forces
A PyTorch implementation of the TD3 (Twin Delayed Deep Deterministic Policy Gradient) algorithm applied to quadruped robot locomotion control. Trained on two environments of increasing complexity: the MuJoCo Ant (8 degrees of freedom) and ANYbotics' ANYmal (12 degrees of freedom) in the Gym Jiminy physics simulation.
PPO ANYmal C with variable impedance control across 6 terrains in Isaac Sim
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