Python sample codes for robotics algorithms.
-
Updated
May 26, 2024 - Python
Robotics is a branch of engineering and computer science which works to design, build, program. and operate robots. Robots are used in many environments in which human involvement could be dangerous, including bomb defusal, space repairs, and manufacturing processes. Robots typically work either autonomously or with commands sent by human operators.
Python sample codes for robotics algorithms.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Geometric Computer Vision Library for Spatial AI
Python package for the evaluation of odometry and SLAM
Frustum PointNets for 3D Object Detection from RGB-D Data
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Robotics Toolbox for Python
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Deep Hough Voting for 3D Object Detection in Point Clouds
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
Unified framework for robot learning built on NVIDIA Isaac Sim
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
A LiDAR odometry pipeline that just works