Whole-body motion planning for Unitree G1 humanoid in MuJoCo - ZMP preview control, A* footstep planning, MPC balance (49% energy reduction), RL locomotion, and Jacobian IK manipulation
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Updated
Apr 20, 2026 - Python
Whole-body motion planning for Unitree G1 humanoid in MuJoCo - ZMP preview control, A* footstep planning, MPC balance (49% energy reduction), RL locomotion, and Jacobian IK manipulation
Terrain-aware locomotion pipeline for quadruped robots - 95% navigation success, 50% fall reduction using depth camera perception, ML terrain classification, and adaptive footstep planning with MoveIt2
This repository is the TensorFlow implementation of my paper titled "Footstep planning of humanoid robot in ROS environment using Generative Adversarial Networks (GANs) deep learning"
VIO + Footstep Planner for GPS-denied quadruped navigation - 98% success rate, 60% drift reduction, real-time autonomous navigation with loop closure
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