A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1184-1191.
Abstract
We consider a setting where a team of humans oversee the coordination of multiple Unmanned Aerial Vehicles (UAVs) to perform a number of search tasks in dynamic environments that may cause the UAVs to drop out. Hence, we develop a set of multi-UAV supervisory control interfaces and a multi-agent coordination algorithm to support human decision making in this setting. To elucidate the resulting interactional issues, we compare manual and mixed-initiative task allocation in both static and dynamic environments in lab studies with 40 participants and observe that our mixed-initiative system results in lower workloads and better performance in re-planning tasks than one which only involves manual task allocation. Our analysis points to new insights into the way humans appropriate flexible autonomy.
@inproceedings{ijcai2015p171,
title = {A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments},
author = {Ramchurn, Sarvapali D. and Fischer, Joel E. and Ikuno, Yuki and Wu, Feng and Flann, Jack and Waldock, Antony},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {1184--1191},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/171},
}
TY - CPAPER TI - A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments AU - Ramchurn, Sarvapali D. AU - Fischer, Joel E. AU - Ikuno, Yuki AU - Wu, Feng AU - Flann, Jack AU - Waldock, Antony T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 1184 EP - 1191 UR - https://ijcai.org/proceedings/2015/171 ER -Copied
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