All Algorithms implemented in Python

Python sample codes 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

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

Algorithm for user tracking and following (turtle bot control)

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.