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rbe550-motion-planning's Introduction

RBE550-Motion-planning

Assignment: Flatland

Planning algorithms - Breadth first search, Depth first search, Dijkstra’s, and A* have been implemented on a grid world environment of configurable obstacle density.

Breadth First Search:

Breadth First Search

Depth First Search:

Depth First Search

Dijkstra's (diagonal steps allowed):

Dijkstra's

A*:

A*

Steps to run the code

  1. Add to your .bashrc

    export PYTHONPATH=/home/<user>/RBE550-Motion-planning/

  2. Create virtual env. and source it

    python3.9-venv -m venv venv

    source venv/bin/activate

  3. Install requirements:

    pip install -r requirements.txt

  4. Run path_planner.py

    python hw1/path_planner.py

rbe550-motion-planning's People

Contributors

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Watchers

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rbe550-motion-planning's Issues

feat: Visualise obstacle grid creation

Problem statement:

At present the obstacle grid creation doesn't have a visualisation element to it. On grid creation an image gets saved locally. It would be nice to see dynamic updates on the grid as and when it gets populated. This eliminates the need to save images to disk. Saving can be retained but made optional via arguments.

Solution

Explore matplotlib/pygame to introduce visualisation with dynamic updates.

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