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Any-Angle Pathfinding algorithms (2^k A*, Theta, Anya)

Description

A project at St Petersburg University.

We implemented and compared these Any-Angle Pathfinding algorithms:

  • 2^k A*
    • regular 2^k A* with euclidian and $h_{2^k}$ heuristics;
    • canonical 2^k A* with euclidian and $h_{2^k}$ heuristics;
  • Theta
    • Basic Theta
    • Lazy Theta
    • Theta Angle Propagation
  • Anya

Demo

Algorithm comparison

All data is stored in folder analysis. There you can find maps, results and plots.

Description of results

Installation

Clone repository:

git clone https://github.com/machine-solution/heuristic_search_any_angle
cd heuristic_search_any_angle

Install requirements:

python -m pip install -r requirements.txt

Please make sure you have Jupyter Notebook installed (or something else to open .ipynb files).

You can do it with pip:

python -m pip install notebook

And then you can start it like that:

python -m notebook

Getting started

The main entrance point is IPython notebook demo/main_demo.ipynb.

There you can try different maps and get visualization of paths that were found by different algorithms.

API of the algorithms can be found in files any_angle/[algorithm]/api.py, where algorithm can be _2k_astar, theta, anya or full_graph (the last is a brute-force algorithm used for testing).

Abstract API is described in any_angle/common/api.py.

References

[1] Rivera, N., Hernández, C., Hormazábal, N. and Baier, J.A., 2020. The 2^ k Neighborhoods for Grid Path Planning. Journal of Artificial Intelligence Research, 67, pp.81-113.

[2] Daniel, K., Nash, A., Koenig, S. and Felner, A., 2010. Theta*: Any-angle path planning on grids. Journal of Artificial Intelligence Research, 39, pp.533-579.

[3] Harabor, D.D., Grastien, A., Öz, D. and Aksakalli, V., 2016. Optimal any-angle pathfinding in practice. Journal of Artificial Intelligence Research, 56, pp.89-118.

Mentor

Yakovlev Konstantin Sergeevich

Us

  • Andrey Zaytsev
  • Maria Radionova
  • Ekaterina Tochilina

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