Training a humanoid robot for locomotion using Reinforcement Learning
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Updated
Mar 24, 2025 - Python
Training a humanoid robot for locomotion using Reinforcement Learning
two wheel legged robot for IsaacLab - reinforcement learning
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
Locomotion tasks for bipedal robots in IsaacLab
Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.
The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".
Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Preview Control
Scripts and configuration files to launch when bringing up REEM-C.
Python sample codes for robotics algorithms.
Designed and built a wheeled bipedal robot using 3D printing, programmed with ROS2.
A repo for a bipedal robot leg design optimization
IsaacLab extension to simulate buoyancy assisted robots. The goal is to make the next generation of BALLU robots achieve efficient and dynamic locomotion.
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