Alternatives and similar repositories for robohive:

Users that are interested in robohive are comparing it to the libraries listed below

• carlosferrazza / humanoid-bench
  ☆479Updated 5 months ago
• ARISE-Initiative / robomimic
  robomimic: A Modular Framework for Robot Learning from Demonstration
  ☆749Updated last month
• aravindr93 / hand_dapg
  Repository to accompany RSS 2018 paper on dexterous hand manipulation
  ☆248Updated last year
• rail-berkeley / serl
  SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
  ☆465Updated 2 months ago
• PKU-MARL / DexterousHands
  This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
  ☆716Updated last week
• nicklashansen / tdmpc2
  Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"
  ☆458Updated this week
• rohanpsingh / mujoco-python-viewer
  Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.
  ☆216Updated last year
• google-research / ibc
  Official implementation of Implicit Behavioral Cloning, as described in our CoRL 2021 paper, see more at https://implicitbc.github.io/
  ☆337Updated last year
• irom-princeton / dppo
  Official implementation of Diffusion Policy Policy Optimization, arxiv 2024
  ☆346Updated 3 weeks ago
• facebookresearch / r3m
  Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data
  ☆316Updated last year
• peract / peract
  Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
  ☆387Updated 9 months ago
• robfiras / loco-mujoco
  Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
  ☆630Updated last week
• google-research / ravens
  Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
  ☆590Updated 7 months ago
• PaulDanielML / MuJoCo_RL_UR5
  A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction …
  ☆492Updated 2 years ago
• real-stanford / scalingup
  [CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down
  ☆372Updated 6 months ago
• Farama-Foundation / Gymnasium-Robotics
  A collection of robotics simulation environments for reinforcement learning
  ☆632Updated last month
• google-deepmind / mujoco_playground
  An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
  ☆741Updated last week
• qgallouedec / panda-gym
  Set of robotic environments based on PyBullet physics engine and gymnasium.
  ☆612Updated 7 months ago
• ikostrikov / rlpd
  ☆260Updated 2 years ago
• danijar / daydreamer
  DayDreamer: World Models for Physical Robot Learning
  ☆299Updated 2 years ago
• google-research / rlds
  ☆337Updated 5 months ago
• aravindr93 / mjrl
  Reinforcement learning algorithms for MuJoCo tasks
  ☆387Updated 8 months ago
• Xingyu-Lin / softgym
  SoftGym is a set of benchmark environments for deformable object manipulation.
  ☆286Updated 2 years ago
• kevinzakka / obj2mjcf
  A CLI for processing composite Wavefront OBJ files for use in MuJoCo.
  ☆219Updated 4 months ago
• Healthcare-Robotics / assistive-gym
  Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
  ☆335Updated last year
• UT-Austin-RPL / deoxys_control
  A modular, real-time controller library for Franka Emika Panda robots
  ☆194Updated 9 months ago
• nicklashansen / tdmpc
  Code for "Temporal Difference Learning for Model Predictive Control"
  ☆400Updated last year
• Toni-SM / skrl
  Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
  ☆664Updated this week
• robotlearning123 / awesome-isaac-gym
  A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
  ☆840Updated last week
• Skylark0924 / Rofunc
  🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
  ☆560Updated 2 months ago