path/motion planning
The c++ implementation for Euler spiral (clothoid).
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
Testing optimization for generating optimized paths from waypoints using Bezier curves
[ICRA2021] A unified benchmark for the evaluation of mobile robot local planning approaches
A Hybrid-A* planner with early stopping for efficient path planning and extended motion primitives to account for the motion capabilities of the U-Shift II vehicle. Author: Oliver Schumann
Implementation of SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction - RAL 2022
A motion planning framework for reach-avoid problems with low conservatism
Get started with Reachability-based Trajectory Design for static obstacles
Developed and implemented motion planning algorithms in MATLAB for navigating robots in a 2-D workspace, emphasizing collision avoidance and trajectory optimization. Leveraged configuration space c…
Freespace Reeds-Shepp planner that is an order of magnitude faster than OMPL's implementation with no compromise, no parallelization, and no multi-threading.
Python sample codes and textbook for robotics algorithms.
MicroPather is a path finder and A* solver (astar or a-star) written in platform independent C++ that can be easily integrated into existing code. MicroPather focuses on being a path finding engine…
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
ROS package for D*+ 2D and 3D path planner, using cartographer and octomap as maps respectively.
Voronoi Based Hybrid A* for Tractor-Trailer Systems
Nonlinear MPCC for autonomous driving of F1/10 cars
based on ros navigation stack, using mpc to do path tracking
Hybrid A* Path Planner for the KTH Research Concept Vehicle
存放了混合Astar代码的修改版,解决了内存泄漏问题,包含轨迹优化,SDF图的生成算法等.
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
C++ hybrid-a-star extracted from ROS2 nav2 stack
A C++ hybrid rapidly-exploring random tree motion planner, compatible with OMPL and ROS 2 Humble.
a simple Apollo-based planning and controlling simulation, communicating with ROS
Discriminating kernel algorithm implementation and neural network approximation, as presented in "Safe Motion Planning for Autonomous Drivingusing an Adversarial Road Model"