Auction Mechanism Design for Multi-Robot Coordination

Abstract

The design of cooperative multi-robot systems is a highly active research area in robotics. Two lines of research in particular have generated inter- est: the solution of large, weakly coupled MDPs, and the design and im- plementation of market architectures. We propose a new algorithm which joins together these two lines of research. For a class of coupled MDPs, our algorithm automatically designs a market architecture which causes a decentralized multi-robot system to converge to a consistent policy. We can show that this policy is the same as the one which would be produced by a particular centralized planning algorithm. We demonstrate the new algorithm on three simulation examples: multi-robot towing, multi-robot path planning with a limited fuel resource, and coordinating behaviors in a game of paint ball.

Cite

Text

Bererton et al. "Auction Mechanism Design for Multi-Robot Coordination." Neural Information Processing Systems, 2003.

Markdown

[Bererton et al. "Auction Mechanism Design for Multi-Robot Coordination." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/bererton2003neurips-auction/)

BibTeX

@inproceedings{bererton2003neurips-auction,
  title     = {{Auction Mechanism Design for Multi-Robot Coordination}},
  author    = {Bererton, Curt and Gordon, Geoffrey J. and Thrun, Sebastian},
  booktitle = {Neural Information Processing Systems},
  year      = {2003},
  pages     = {879-886},
  url       = {https://mlanthology.org/neurips/2003/bererton2003neurips-auction/}
}