https://github.com/caomuqing/multi_robot_sweep_coverage

Multi robot sweep coverage: Matlab codes for the paper accepted in IEEE T-SMC.
https://github.com/caomuqing/multi_robot_sweep_coverage

coverage multirobot planning robotics

Last synced: 25 days ago
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Multi robot sweep coverage: Matlab codes for the paper accepted in IEEE T-SMC.

• Host: GitHub
• URL: https://github.com/caomuqing/multi_robot_sweep_coverage
• Owner: caomuqing
• Created: 2023-06-14T11:56:39.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-07T03:30:03.000Z (almost 2 years ago)
• Last Synced: 2024-01-28T02:07:06.100Z (over 1 year ago)
• Topics: coverage, multirobot, planning, robotics
• Language: MATLAB
• Homepage:
• Size: 1.41 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# multi robot sweep coverage

Matlab codes for the paper accepted in IEEE T-SMC.

[![MRSC](demo.gif)](https://youtu.be/nBXupDJ9x94)

## Basic Usage

[sweep.m](https://github.com/caomuqing/multi_robot_sweep_coverage/blob/main/sweep.m) runs the main algorithms.

After running the main algorithms, [sweep_visualization_workload.m](https://github.com/caomuqing/multi_robot_sweep_coverage/blob/main/sweep_visualization_workload.m) and [sweep_visualization_workload2.m](https://github.com/caomuqing/multi_robot_sweep_coverage/blob/main/sweep_visualization_workload2.m) plots the workload distribution progress.

Using the data from the main algorithm, [sweep_animation2.m](https://github.com/caomuqing/multi_robot_sweep_coverage/blob/main/sweep_animation2.m) shows an animation of the robot sweep coverage.

## Citation

If you find this work useful, please cite ([paper](https://ieeexplore.ieee.org/document/10168201), [video](https://youtu.be/nBXupDJ9x94)):

```bibtex

  @ARTICLE{cao2023sweep,

  author={Cao, Muqing and Cao, Kun and Li, Xiuxian and Xie, Lihua},

  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, 

  title={Distributed Control of Multirobot Sweep Coverage Over a Region With Unknown Workload Distribution}, 

  year={2023},

  volume={},

  number={},

  pages={1-13},

  doi={10.1109/TSMC.2023.3285264}}

```