Multiple Agents from the Bottom up: The Interaction Lab's Robot Competition Effort
Abstract
Our goal is to exploit the benefits of multi-agent sys-tems so as to gain a super-linear increase in perfor-mance relative to that of a single robot. By this we mean that a team of n robots either performs a task more than n times “better ” (depending on the task, faster, more thoroughly, more reliably) than a single robot could perform the task, or performs a task that a single robot simply cannot. We strive to build these systems from the bottom up using behavior-based prin-ciples of system organization such as subsumption and activation (Brooks 85). We are preparing entries for three events- Find Life on Mars, Vacuuming, and Hors-d’oeuvres serving- where the responsiveness and flexibility of this approach will enable our robots to organize themselves into efficient, effective, and enter-taining teams.
Cite
Text
Werger et al. "Multiple Agents from the Bottom up: The Interaction Lab's Robot Competition Effort." AAAI Conference on Artificial Intelligence, 1997.Markdown
[Werger et al. "Multiple Agents from the Bottom up: The Interaction Lab's Robot Competition Effort." AAAI Conference on Artificial Intelligence, 1997.](https://mlanthology.org/aaai/1997/werger1997aaai-multiple/)BibTeX
@inproceedings{werger1997aaai-multiple,
title = {{Multiple Agents from the Bottom up: The Interaction Lab's Robot Competition Effort}},
author = {Werger, Barry Brian and Schneider-Fontán, Miguel and Goldberg, Dani and Hornby, Gregory and Mataric, Maja J. and Song, Sen},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1997},
pages = {802-803},
url = {https://mlanthology.org/aaai/1997/werger1997aaai-multiple/}
}