Python sample codes for robotics algorithms.
-
Updated
Jun 1, 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.
Geometric Computer Vision Library for Spatial AI
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Python package for the evaluation of odometry and SLAM
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Robotics Toolbox for Python
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.
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
Deep Hough Voting for 3D Object Detection in Point Clouds
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
A library for differentiable nonlinear optimization
Frustum PointNets for 3D Object Detection from RGB-D Data
A LiDAR odometry pipeline that just works
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
gradslam is an open source differentiable dense SLAM library for PyTorch
A library for differentiable robotics.
Python tools for working with KITTI data.