@inproceedings{bc53bd54605d4fbda00de93d7fde4d72,
title = "Multi-robot scheduling and path-planning for non-overlapping operator attention",
abstract = "There is a growing need for robots to perform complex tasks autonomously. However, there remain certain tasks that cannot - or should not - be completely automated. While these tasks may require one or several operators, we can oftentimes schedule when an operator should assist. We build on our previous work to present a methodology for allocating operator attention across multiple robots while attempting to minimize the execution time of the robots involved. In this paper, we: 1) Analyze of the complexity of this problem, 2) Provide a scalable methodology for designing robot policies so that few operators can oversee many robots, 3) Describe a methodology for designing both policies and robot trajectories to permit operators to assist many robots, and 4) Present simulation and hardware experiments demonstrating our methodologies.",
keywords = "Coordination, Robotics, Scheduling, Shared control, Teleoperation",
author = "Sebasti{\'a}n Zanlongo and Franklin Abodo and Philip Long and Taskin Padir and Leonardo Bobadilla",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd IEEE International Conference on Robotic Computing, IRC 2018 ; Conference date: 31-01-2018 Through 02-02-2018",
year = "2018",
month = apr,
day = "2",
doi = "10.1109/IRC.2018.00021",
language = "English",
series = "Proceedings - 2nd IEEE International Conference on Robotic Computing, IRC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "87--94",
booktitle = "Proceedings - 2nd IEEE International Conference on Robotic Computing, IRC 2018",
}