robotics
Hybrid Robotic Grasping with a Soft Multimodal Gripper and a Deep Multistage Learning Scheme
Train kuka robot reach a point with deep rl.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Isaac Gym Reinforcement Learning Environments
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Python sample codes and textbook for robotics algorithms.
Reinforcement Learning Experiments using PyBullet
This is the official implementation of our paper: "A Novel Robotic Grasp Detection Framework Using Low-Cost RGB-D Camera for Industrial Bin Picking."
Set of robot URDFs for benchmarking and developed examples.
Official Repo for ManiSkill-ViTac Challenge 2024
SapienIPC experimental release. This release is temporary and will not be maintained. We will release a stable version soon.
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
RLAfford: End-to-End Affordance Learning for Robotic Manipulation, ICRA 2023
[ECCV2024] 🐙Octopus, an embodied vision-language model trained with RLEF, emerging superior in embodied visual planning and programming.
A universal time series representation learning framework
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly bas…
A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.
This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding …
Public repository of the RL environment for robotic hands and a simulated model of the Faive Hand (and also somewhat easily extendable to other robotic hands).
GBRL-based Actor-Critic algorithms implemented in stable-baselines3