ML Anthology

An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams

Muhammad Usman Arif
AAAI 2017 pp. 5032-5033
doi:10.1609/AAAI.V31I1.10527 /aaai/2017/arif2017aaai-evolutionary/

Abstract

Multi-Robot Task Allocation (MRTA) has no formal framework which could provide solutions covering different domains within the MRTA taxonomy without changing the optimization scheme. This research aims to develop a novel framework using evolutionary computing. The study proposes a modular approach towards developing this framework in which individual problem types of the MRTA taxonomy are solved one at a time. The performance of the framework will be evaluated against the popular approaches suggested for each problem type.

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Cite

Text

Arif. "An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.10527

Markdown

[Arif. "An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/arif2017aaai-evolutionary/) doi:10.1609/AAAI.V31I1.10527

BibTeX

@inproceedings{arif2017aaai-evolutionary,
  title     = {{An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams}},
  author    = {Arif, Muhammad Usman},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {5032-5033},
  doi       = {10.1609/AAAI.V31I1.10527},
  url       = {https://mlanthology.org/aaai/2017/arif2017aaai-evolutionary/}
}