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This repo contains the implementation of various Motion Planning algorithms used for Path Planning and Local Navigation.

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Motion planning algorithms

This repository contains some implementations of some path planning algorithms.

Sampling-based Graph Search Algorithms:

1. Depth-First Search (DFS)

2. Uniform Cost Search (UCS)

3. Astar (A*)

4. Probabilistic Roadmap Generation (PRM)

5. Rapidly-exploring Random Trees (RRT)

6. Asymptotically Optimal Rapidly-exploring Random Trees (RRT*)

Force-based Local Navigation:

1. 8 Agent Simulation

2. Crowd Crossing Simulation

Visualizations of sampling-based Graph Search Algorithms:

1. Depth-first search (DFS):

DFS

2. Uniform Cost search (UCS):

UCS

3. A* search:

Astar

4. Probabilistic Roadmap Generation (PRM):

5. Rapidly-exploring Random Trees (RRT):

6. Rapidly-exploring Random Trees* (RRT*): (Asymptotically optimal version of RRT)

Force-based Local Navigation (TTC based approach):

1. 8 Agent Simulation

2. Crowd Crossing Simulation

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This repo contains the implementation of various Motion Planning algorithms used for Path Planning and Local Navigation.

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