28 Open source projects that are alternatives of or similar to RPN

Cornell House Agent Learning Environment

Multi-robot control simulation environmrnt build on top on Mobile Robotics Simulation Toolbox, implemented 1)some algorithm for formation control 2)mapping, localization and SLAM based on Kalman filter..

A simulation framework for Robotic Mobile Fulfillment Systems

No description or website provided.

A warehouse environment for robotics simulation in Unity.

General purpose math library for robot applications.

Abstract physics interface designed to support simulation and rapid development of robot applications.

Tutorials for gazebo

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Mujoco Model for UR5-Ridgeback-Robotiq Robot

Simulation and visualization of articulated rigid body systems in Julia

URDF importer

Provides numerous sensor models designed to generate realistic data from simulation environments.

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

Webots projects (PROTO files, controllers, simulation worlds, etc.) contributed by the community.

OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

C++ library designed to provide an abstraction for different rendering engines. It offers unified APIs for creating 3D graphics applications.

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Infrastructure for PyBullet research

Line follower robot simulator environment for Open AI Gym.

Robotic fabrication package for the COMPAS Framework.

Reinforcement Learning Experiments using PyBullet

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

A neuromechanical model of adult Drosophila melanogaster.

A bridge between ROS and PyBullet

No description or website provided.

Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

Online Replanning in Belief Space for Partially Observable Task and Motion Problems