* [ pacmod ](https://github.com/astuff/pacmod) \- Designed to allow the user to control a vehicle with the PACMod drive-by-wire system. 
  * [ mpcc ](https://github.com/alexliniger/MPCC) \- Model Predictive Contouring Controller for Autonomous Racing. 
  * [ rrt ](https://github.com/RoboJackets/rrt) \- C++ RRT (Rapidly-exploring Random Tree) implementation. 
  * [ HypridAStarTrailer ](https://github.com/AtsushiSakai/HybridAStarTrailer) \- A path planning algorithm based on Hybrid A* for trailer truck. 
  * [ path_planner ](https://github.com/karlkurzer/path_planner) \- Hybrid A* Path Planner for the KTH Research Concept Vehicle. 
  * [ open_street_map ](https://github.com/ros-geographic-info/open_street_map) \- ROS packages for working with Open Street Map geographic information. 
  * [ Open Source Car Control ](https://github.com/PolySync/oscc) \- An assemblage of software and hardware designs that enable computer control of modern cars in order to facilitate the development of autonomous vehicle technology. 
  * [ fastrack ](https://github.com/HJReachability/fastrack) \- A ROS implementation of Fast and Safe Tracking (FaSTrack). 
  * [ commonroad ](https://commonroad.in.tum.de/) \- Composable benchmarks for motion planning on roads. 
  * [ traffic-editor ](https://github.com/osrf/traffic-editor) \- A graphical editor for robot traffic flows. 
  * [ steering_functions ](https://github.com/hbanzhaf/steering_functions) \- Contains a C++ library that implements steering functions for car-like robots with limited turning radius. 
  * [ moveit ](https://moveit.ros.org/) \- Easy-to-use robotics manipulation platform for developing applications, evaluating designs, and building integrated products. 
  * [ flexible-collision-library ](https://github.com/flexible-collision-library/fcl) \- A library for performing three types of proximity queries on a pair of geometric models composed of triangles. 
  * [ aikido ](https://github.com/personalrobotics/aikido) \- Artificial Intelligence for Kinematics, Dynamics, and Optimization. 
  * [ casADi ](https://github.com/casadi/casadi) \- A symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. 
  * [ ACADO Toolkit ](https://github.com/acado/acado) \- A software environment and algorithm collection for automatic control and dynamic optimization. 
  * [ control-toolbox ](https://github.com/ethz-adrl/control-toolbox) \- An efficient C++ library for control, estimation, optimization and motion planning in robotics. 
  * [ CrowdNav ](https://github.com/vita-epfl/CrowdNav) \- Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning. 
  * [ ompl ](https://github.com/ompl/ompl) \- Consists of many state-of-the-art sampling-based motion planning algorithms. 
  * [ openrave ](https://github.com/rdiankov/openrave) \- Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms. 
  * [ teb_local_planner ](https://github.com/rst-tu-dortmund/teb_local_planner) \- An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands. 
  * [ pinocchio ](https://github.com/stack-of-tasks/pinocchio) \- A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives. 
  * [ rmf_core ](https://github.com/osrf/rmf_core) \- The rmf_core packages provide the centralized functions of the Robotics Middleware Framework (RMF). 
  * [ OpEn ](https://github.com/alphaville/optimization-engine) \- A solver for Fast & Accurate Embedded Optimization for next-generation Robotics and Autonomous Systems. 
  * [ autogenu-jupyter ](https://github.com/mayataka/autogenu-jupyter) \- This project provides the continuation/GMRES method (C/GMRES method) based solvers for nonlinear model predictive control (NMPC) and an automatic code generator for NMPC. 
  * [ global_racetrajectory_optimization ](https://github.com/TUMFTM/global_racetrajectory_optimization) \- This repository contains multiple approaches for generating global racetrajectories. 
  * [ toppra ](https://github.com/hungpham2511/toppra) \- A library for computing the time-optimal path parametrization for robots subject to kinematic and dynamic constraints. 
  * [ tinyspline ](https://github.com/msteinbeck/tinyspline) \- TinySpline is a small, yet powerful library for interpolating, transforming, and querying arbitrary NURBS, B-Splines, and Bézier curves. 
  * [ dual quaternions ros ](https://github.com/Achllle/dual_quaternions_ros) \- ROS python package for dual quaternion SLERP. 
  * [ mb planner ](https://github.com/unr-arl/mbplanner_ros) \- Aerial vehicle planner for tight spaces. Used in DARPA SubT Challenge. 
  * [ ilqr ](https://github.com/anassinator/ilqr) \- Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models. 
  * [ EGO-Planner ](https://github.com/ZJU-FAST-Lab/ego-planner) \- A lightweight gradient-based local planner without ESDF construction, which significantly reduces computation time compared to some state-of-the-art methods. 
  * [ pykep ](https://github.com/esa/pykep) \- A scientific library providing basic tools for research in interplanetary trajectory design. 
  * [ am_traj ](https://github.com/ZJU-FAST-Lab/am_traj) \- Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight. 
  * [ GraphBasedLocalTrajectoryPlanner ](https://github.com/TUMFTM/GraphBasedLocalTrajectoryPlanner) \- Was used on a real race vehicle during the Roborace Season Alpha and achieved speeds above 200km/h. 
  * [ se2_navigation ](https://github.com/leggedrobotics/se2_navigation) \- Pure pursuit controller and Reeds-Shepp sampling based planner for navigation in SE(2) space. 
  * [ Ruckig ](https://ruckig.com) \- Instantaneous Motion Generation. Real-time. Jerk-constrained. Time-optimal.