Tactile Sensing and Simulation; Visual Tactile Manipulation; Open Source.

Design files for the DIGIT tactile sensor

Code for the winning team of the ERF2022 Hackathon Franka.

Re-implementations of SOTA RL algorithms.

Simple converter for deploying Stable-Baselines3 model to TFLite and/or Coral

Motion imitation with deep reinforcement learning.

Resumes generated using the GitHub informations

Web-based 3D visualization + Python

Master programming by recreating your favorite technologies from scratch.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

A curated list of robotic manipulation papers

Curated list for resources related to robot manipulation

Reading List for learning-based multi-step manipulation survey.

Robot bimanual manipulation / dual-arm manipulation

The repository is for safe reinforcement learning baselines.

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

Spot Sim2Real Infrastructure

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

🏭 Collaboratively build, visualize, and design neural nets in browser