All Algorithms implemented in Python

Python sample codes and textbook for robotics algorithms.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

A library of reinforcement learning components and agents

Isaac Gym Environments for Legged Robots

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Model predictive control python toolbox

A fast and differentiable model predictive control (MPC) solver for PyTorch.

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Official Repository for "DrEureka: Language Model Guided Sim-To-Real Transfer" (RSS 2024)

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

Awesome Quadrupedal Robots

Optimal Motion Generation-tools: motion planning made easy

Python codes for advanced control

Robotic arm control in Python

Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

Bullet simulation for SoftBank Robotics robots

Face Liveness Detection - A tool to prevent spoofing in face recognition systems.

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Algorithm for user tracking and following (turtle bot control)

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

Experimental prototyping (for now)

Implementing trajectory optimization on bipedal system

Structure from Motion (SfM)

Variational Deep Learning implementations, starting from simple Autoencoders.

A robot developed to deliver small packages in outdoor environment.