reso1 / mcfs

code with the ICAPS'24 paper - "Multi-Robot Connected Fermat Spiral Coverage"

MCFS

This repository is the implementation of the unified version of Connected Fermat Spiral and the Multi-Robot Connected Fermat Spiral with its two optimizations from the following paper:

Jingtao Tang and Hang Ma. "Multi-Robot Connected Fermat Spiral Coverage." ICAPS 2024 (to appear). [paper], [simulation], [project]

Please cite this paper if you use this code for the multi-robot coverage path planning problem.

Installation

pip install -r requirements.txt

Usage

python main.py [-h] [--aug AUG] [--ref REF] [--read_mmrtc_sol READ_MMRTC_SOL] [--write_sol WRITE_SOL] [--draw DRAW] istc

• Required:
  • istc: the instance name stored in directory 'data/instances'.
• Optional:
  • --aug AUG: Is using optimization of isograph augmentation (default=True)
  • --ref REF: Is using optimization of MMRTC solution refinement (default=True)
  • --read_mmrtc_sol READ_MMRTC_SOL: Is reading prerun MMRTC solution (default=True)
  • --write_sol WRITE_SOL: Is writing the MMRTC and MCPP solutions (default=False)
  • --draw DRAW: Is drawing the MCPP solution (default=False)

File Structure

• main.py: main function
• exp_ablation_study.ipynb: code for ablation study
• exp_case_study.ipynb: code for case study
• exp_comparison.ipynb: code for performance evaluation with two other baseline methods
• MIP-MCPP: repo of the work "Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning With Efficient Heuristics"
• MCFS/
  • isograph.py: the isograph class representing the set of contouring isolines
  • isolines.py: two classes of the individual isoline and set of layered contouring isolines
  • MMRTC.py: wrappers of Gurobi and SCIP solvers for MMRTC models
  • planning.py: the unified version of CFS and a simple A* pathfinder
  • selector.py: the class of stitching tuple selectors for the unified version of CFS
  • solution_refinement.py: the second optimization of MMRTC solution refinement, including the main algorithm and the two subroutines of add_improving_repetition and pairwise_isovertices_splitting
  • stitching_tuple.py: the class of individual stitching tuple and the set $O$ of stitching tuples
• data/
  • instances: metadata of the MCPP instances
  • polygons: the respective shapely polygon objects of the MCPP instances (for MCFS)
  • rectilinearified: the rectilinearized grid approximations of the MCPP instances (for the two comparing baselines)
  • solutions: MMRTC and MCPP solutions for MCFS w/ two optimizations of isograph augmentation and solution refinement

License

MCFS is released under the GPL version 3. See LICENSE.txt for further details.

mcfs's Issues

关于data中polygons中的图形

   请问polygons文件中的关于多边形的文件，比如A.plg，是怎么得到的呢？拜读了这篇代码但仍然找不到答案，希望作者百忙之中能回答我的问题，将感激不尽！