Training a humanoid robot for locomotion using Reinforcement Learning
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Updated
May 3, 2024 - Python
Training a humanoid robot for locomotion using Reinforcement Learning
A humanoid bipedal walking control repo using NMPC and WBC, and simulation with mujoco. Contact: xuejl2001@mail.ustc.edu.cn
Humanoid walking controller with various baseline methods
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
SEROW Framework for N Legged Robot Walking Estimation
Collection of centroidal control for legged robots
This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to co…
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".
Humanoid footstep planner based on baseline methods with graph search
BipedalWalker - AI teaching itself to walk
Scripts and configuration files to launch when bringing up REEM-C.
Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Preview Control
Hybrid Walking Pattern Generator for bipedal robots, merging the Virtual Constraints and the Preview Control theories
Control of a bipedal walker
Walking Pattern Generator based on linear inverted pendulum model
Locomotion tasks for bipedal robots in IsaacLab
Preview Control for Walking
Python sample codes for robotics algorithms.
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