https://github.com/zhm-real/PathPlanning Python Common used path planning algorithms with animations.
Overview
This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algorithms. We designed animation for each algorithm to display the running process.
Directory Structure
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└── Search-based Planning
├── Breadth-First Searching (BFS)
├── Depth-First Searching (DFS)
├── Best-First Searching
├── Dijkstra's
├── A*
├── Bidirectional A*
├── Anytime Repairing A*
├── Learning Real-time A* (LRTA*)
├── Real-time Adaptive A* (RTAA*)
├── Lifelong Planning A* (LPA*)
├── Dynamic A* (D*)
├── D* Lite
├── Anytime D*
└── Potential Field
└── Sampling-based Planning
├── RRT
├── RRT-Connect
├── Extended-RRT
├── Dynamic-RRT
├── RRT*
├── Informed RRT*
├── RRT* Smart
├── Anytime RRT*
├── Closed-Loop RRT*
├── Spline-RRT*
├── LQR-RRT*
├── Fast Marching Trees (FMT*)
└── Batch Informed Trees (BIT*)
Animations - Search-Based
Best-First & Dijkstra
A* and A* Variants
Animation - Sampling-Based
RRT & Variants
Papers
Search-base Planning
Sampling-based Planning
RRT: Rapidly-Exploring Random Trees: A New Tool for Path Planning
RRT-Connect: RRT-Connect: An Efficient Approach to Single-Query Path Planning
Extended-RRT: Real-Time Randomized Path Planning for Robot Navigation
Dynamic-RRT: Replanning with RRTs
RRT*: Sampling-based algorithms for optimal motion planning
Anytime-RRT*: Anytime Motion Planning using the RRT*
Closed-loop RRT* (CL-RRT*): Real-time Motion Planning with Applications to Autonomous Urban Driving
Spline-RRT*: Optimal path planning based on spline-RRT* for fixed-wing UAVs operating in three-dimensional environments
LQR-RRT*: Optimal Sampling-Based Motion Planning with Automatically Derived Extension Heuristics
RRT#: Use of Relaxation Methods in Sampling-Based Algorithms for Optimal Motion Planning
RRT*-Smart: Rapid convergence implementation of RRT* towards optimal solution
Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal heuristic
Fast Marching Trees (FMT*): a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions
Motion Planning using Lower Bounds (MPLB): Asymptotically-optimal Motion Planning using lower bounds on cost
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs
Advanced Batch Informed Trees (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques ((ICRA) 2020)
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics ((ICRA) 2020)