Cherry Autonomous RacecarImplementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
Dreamerv2Mastering Atari with Discrete World Models
Open quadtree mappingThis is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"
Se2lam(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
OpenvslamOpenVSLAM: A Versatile Visual SLAM Framework
FurnitureIKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
PyswipPySwip is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.
BonnetBonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.
DreamerDream to Control: Learning Behaviors by Latent Imagination
Rvo2Optimal Reciprocal Collision Avoidance (C++)
Free gaitAn Architecture for the Versatile Control of Legged Robots
Gym Gazebo2gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Topprarobotic motion planning library
WechatyConversational RPA SDK for Chatbot Makers
CLF reactive planning systemThis package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to co…
streetscape.glVisualization framework for autonomy and robotics data encoded in XVIZ
StuyLibAward-Winning FRC Library by StuyPulse Team 694
AVO2Reciprocal Collision Avoidance with Acceleration-Velocity Obstacles (C++)
fmi adapterIntegrating functional mock-up units (FMUs) in ROS nodes
GalateaProject Galatea lays the foundation for an open-source & open-hardware humanoid robot with an emphasis on assistance and companionship.
RAWSim-OA simulation framework for Robotic Mobile Fulfillment Systems
kinpySimple kinematics calculation toolkit for robotics
erdosDataflow system for building self-driving car and robotics applications.
vrep-api-pythonSimple for use Python binding for Coppelia Robotics V-REP simulator (remote API)
baddy-makers-editionThe place for the BADDY community to: get all you need (dxf plans, code etc.) to make and build your own BADDY share issues... and fixes! create stunning new features
gearCollision Avoidance Path Planning in Rust-lang
nn robustness analysisPython tools for analyzing the robustness properties of neural networks (NNs) from MIT ACL
bio ikMoveIt kinematics_base plugin based on particle optimization & GA
robotic-warehouseMulti-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
EL6483 EmbeddedSystemsAll course materials, build systems, etc. for the graduate Real-Time Embedded Systems Course, Spring 2017
FusionADAn open source autonomous driving stack by San Jose State University Autonomous Driving Team
l2rOpen-source reinforcement learning environment for autonomous racing.
ndt localizerThis robot lcoalisation package for lidar-map based localisation using multi-sensor state estimation.
braccio-ik-unityBraccio robotic arm simulator with IK (inverse kinematics) and controller via Serial in Unity.
DronaDrona is a programming framework for building safe robotics systems
trajoptTrajectory optimization algorithms for robotic control.
grasp multiObjectRobotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.
TORA.jlTrajectory Optimization for Robot Arms
braxMassively parallel rigidbody physics simulation on accelerator hardware.
MeshCatMechanisms.jl3D Visualization of mechanisms and URDFs using MeshCat.jl and RigidBodyDynamics.jl
MuJoCo RL UR5A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.