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A Minimal Example of Isaac Gym with DQN and PPO.
IsaacGym envs for a two wheeled inverted pendulum robot (TWIP) and a flywheel inverted pendulum robot
The robot model of this repository is based on HighTorque’s 12-degree-of-freedom robot. The two degrees of freedom of the ankle joint are bound together in urdf, and the robot's degree of freedom b…
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Bipedal locomotion software for the humanoid robot platform iCub.
Programming Humanoid Robot In Python
Matlab code for a Springer book "Introduction to Humanoid Robotics"
Simulation Software (ROS/MATLAB) for HECTOR Humanoid Robot Locomotion Control/Bipedal Locomotion Control/Force-and-moment-based MPC
Motion planning algorithm implementation
Modern Robotics: Mechanics, Planning, and Control C++ Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code …
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Task Allocation Strategy to distribute goals in a fleet considering, goals makespan, goals position, robot capabilities and redundancy in the sensory system.
The code for task allocation and the simulation system based on ROS and Gazebo for task allocation are included
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Minimal and Clean Reinforcement Learning Examples
Python Implementation of Reinforcement Learning: An Introduction
Hybrid A* Path Planner for the KTH Research Concept Vehicle
Hybrid A* Motion Planner for a Car using kinematic & Reeds-Shepp Model
Python sample codes for robotics algorithms.
A simulation system based on ROS and Gazebo which is specially built for multi-robot task allocation (exploration and destruction problem)
手写实现李航《统计学习方法》书中全部算法
Drag & drop UI to build your customized LLM flow