Dynamically formed human-robot team performing coordinated tasks
Abstract
As we progress towards a world where robots play an integral role in society, a critical problem that remains to be solved is the Pickup Team challenge; that is, dynamically formed het- erogeneous robot teams executing coordinated tasks where little information is known a-priori about the tasks, the robots, and the environments in which they will operate. Successful solutions to forming pickup teams will enable researchers to experiment with larger numbers of robots and enable industry to efficiently and cost-effectively integrate new robot technol- ogy with existing legacy teams. In this paper, we define the challenge of pickup teams and propose the treasure hunt do- main for evaluating the performance of pickup teams. Addi- tionally, we describe a basic implementation of a pickup team that can search and discover treasure in a previously unknown environment. We build on prior approaches in market-based task allocation and Plays for synchronized task execution, to allocate roles amongst robots in the pickup team, and to ex- ecute synchronized team actions to accomplish the treasure hunt task.
BibTeX
@conference{Dias-2006-17024,author = {M. Bernardine Dias and Thomas K. Harris and Brett Browning and Edward Jones and Brenna Argall and Manuela Veloso and Anthony (Tony) Stentz and Alexander Rudnicky},
title = {Dynamically formed human-robot team performing coordinated tasks},
booktitle = {Proceedings of AAAI '06 Spring Symposium: "To boldly go where no Human-Robot Team has gone before"},
year = {2006},
month = {March},
keywords = {dynamically formed teams, human-robot interaction, HRI, human-robot teams, multirobot},
}