Reverse Dependencies of pybullet

The following projects have a declared dependency on pybullet:

• autonomous-learning-library — A library for building reinforcement learning agents in Pytorch
• baconian — model-based reinforcement learning toolbox
• bullet-gym — A OpenAI Gym Env for pandas
• bullet-ur-gym-test — An OpenAI Gym Env for UR
• causal-world — CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
• coltra — Coltra is a simple moddable RL algorithm implementation
• coltra-rl — Coltra-RL is a simple moddable RL algorithm implementation
• compas-fab — Robotic fabrication package for the COMPAS Framework
• condynsate — Simulates and visualizes articulated systems in real time
• delta_robot_trampoline — no summary
• dsrl — Datasets for Offline Safe Reinforcement Learning
• eagerx-pybullet — This repository contains the eagerx_pybllet package, which allows to simulate systems with EAGERx using pybullet.
• easysim — A library for creating Gym environments with unified API to various physics simulators
• elegantrl — Lightweight, Efficient and Stable DRL Implementation Using PyTorch
• fast-safe-rl — A Fast and Modularized Implementation of Safe Reinforcement Learning Algorithms in PyTorch
• gibson2 — no summary
• gripx — Grip is a prototyping toolbox for manipulation research.
• GXYUR-env — An OpenAI Gym Env for dual UR5
• gym-attitudecontrol — no summary
• gym-delta-robot-trampoline — An OpenAI Gym Env for Delta Robot
• gym-envs — Gym environments for RL reaching tasks
• gym-gwen — A OpenAI Gym Env for gwen
• gym-iOTA — A Open AI Gym Env for a Multiagent systems with our bot 'iOTA'
• gym-line-follower — Line follower simulator environment.
• gym-panda — An OpenAI Gym Env for Panda
• gym-panda-shengyin — An OpenAI Gym Env for Panda
• gym-robotorydownscale — A OpenAI Gym Env for Robotory downscale manipulator
• GymBullet-DiffBotEnv — A OpenAI Gym Environment for Pybullet DiffBot Package
• haibot-rosgymbullet — DiffBot Ros-Gym-Bullet Environment ( For PYTHON 2.7 )
• hex-gym — A OpenAi Gym Environment for a hexapod
• jaxex — A tool for creating science experiments in jax, torch, brax, etc
• joyrl — A Library for Deep Reinforcement Learning
• lanro-gym — Gymnasium multi-goal environments for goal-conditioned and language-conditioned deep reinforcement learning build with PyBullet
• LaRoboLiga24 — A OpenAI Gym Env for the event LaRoboLiga
• libsg — libSG: Scene Generation Library
• ManipulaPy — A package for robotic serial manipulator operations
• metagym — MetaGym: environments for benchmarking Reinforcement Learning and Meta Reinforcement Learning
• mohou — Visuomotor imitation learning framework
• motion-planning-scenes — Generic motion planning scenes, including goals and obstacles.
• mushroom-rl — A Python toolkit for Reinforcement Learning experiments.
• nappo — Disributed RL implementations with ray and pytorch.
• neura-roboticstoolbox — roboticstoolbox-python with Maira7M
• nevergrad — A Python toolbox for performing gradient-free optimization
• ntn-torch — ntn_torch is a library to build n-tuple neural network models using the framework of pytorch
• nuro-arm — NURO Arm: Accessible Robotics Educational Platform
• onshape-to-robot — Converting OnShape assembly to robot definition (SDF or URDF) through OnShape API
• pallet-sim — Pallet simulation library developed at THWS
• panda-gym — Set of robotic environments based on PyBullet physics engine and gymnasium.
• panda-robot-server — Web Server to control the Franka Emika Panda robot.
• pyaocs — Satellite Digital Twin to test control strategies.
• pyb-utils — Basic utilities for PyBullet, including collision detection, ghost (i.e. visual-only) objects, and cameras.
• pybullet-envs-gymnasium — Gymnasium port of pybullet envs
• pybullet-industrial — Pybullet_industrial is a process-aware robot simulation framework for pybullet.
• pybullet-planning — a suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.
• pybullet-planning-eaa — a suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.
• pybullet-rendering — External rendering plugin for PyBullet
• pybullet-suite — Pybullet wrapper for easy use
• pybulletX — A Pythonic wrapper for pybullet
• PyFlyt — UAV Flight Simulator Gymnasium Environments for Reinforcement Learning Research.
• pyg-multiagent — Python Package for Multi-Agent Learning
• pyoptas — An optimization-based task specification library for task and motion planning (TAMP), trajectory optimization, and model predictive control.
• pyrobolearn — A Python framework for roboticists and machine learning practitioners
• pytorch-kinematics — Robot kinematics implemented in pytorch
• pytorch-volumetric — Volumetric structures such as voxels and SDFs implemented in pytorch
• qibullet — Bullet-based simulation for SoftBank Robotics' robots
• rainy — Algorithm and utilities for deep reinforcement learning
• ravens — Ravens is a collection of simulated tasks in PyBullet for learning vision-based robotic manipulation.
• rerun-robotics — Robotics visualization using Rerun
• rl-algo-impls — Implementations of reinforcement learning algorithms
• rl-toolkit — RL-Toolkit: A Research Framework for Robotics
• rlagent — rlagent: Reinforcement learning framework in tensorflow, compatible with OpenAI Gym like environments.
• rlschool — RLSchool: Excellent environments for reinforcement Learning benchmarking
• robolearn-gym-envs — A python package that contains some OpenAIGym-like robot environments.
• robotic-manipulator-rloa — Framework for training Robotic Manipulators on the Obstacle Avoidance task through Reinforcement Learning.
• roboticstoolbox-python — A Python library for robotics education and research
• robovat — RoboVat: A unified toolkit for simulated and real-world robotic task environments.
• rover-arm — A OpenAI Gym Env for Rover with Arm
• rvc3python — Support for book: Robotics, Vision & Control 3 in Python
• scikit-robot — A Flexible Framework for Robot Control in Python
• silverbullet — shallow but powerful wrapper around pybullet
• smarts — no summary
• spatialgeometry — A Shape and Geometry Description Package
• sphere-base — Library for applications were information should be displayed on the surface of a sphere. It allows for creating spheres with nodes and edges that can be dragged on its surface.
• subm-ql — no summary
• submql — no summary
• TACTO — Simulator for vision-based tactile sensors.
• tf-agents — TF-Agents: A Reinforcement Learning Library for TensorFlow
• tf-agents-nightly — TF-Agents: A Reinforcement Learning Library for TensorFlow
• tf-rbdl — Rigid Body Dynamics Library using Tensorflow.
• tianshou — A Library for Deep Reinforcement Learning
• trifinger-simulation — TriFinger Robot Simulation
• twodlearn — Easy development of machine learning models
• urdfenvs — Simple simulation environment for robots, based on the urdf files.
• urgxy-env — An OpenAI Gym Env for dual UR5
• urgxy-env1 — An OpenAI Gym Env for Panda
• usa-net — USA net project
• view-animator — Animate the camera view for a variety of environments
• widowx-env — Gym environments for RL reaching tasks
• zhengyang-env-2 — A OpenAI Gym Env for foo
• zhengyang-env-3 — A OpenAI Gym Env for foo