TY - GEN
T1 - Planning with resource conflicts in human-robot cohabitation
AU - Chakraborti, Tathagata
AU - Zhang, Yu
AU - Smith, David E.
AU - Kambhampati, Subbarao
N1 - Funding Information:
This research is supported in part by the ONR grants N00014-13-1-0176, N00014-13-1-0519 and N00014-15-1-2027, and the ARO grant W911NF-13-1-0023.
Publisher Copyright:
Copyright © 2016, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - In order to be acceptable members of future human-robot ecosystems, it is necessary for autonomous agents to be respectful of the intentions of humans cohabiting a workspace and account for conflicts on shared resources in the environment. In this paper we build an integrated system that demonstrates how maintaining predictive models of its human colleagues can inform the planning process of the robotic agent. We propose an Integer Programming based planner as a general formulation of this flavor of "humanaware" planning and show how the proposed formulation can be used to produce different behaviors of the robotic agent, showcasing compromise, opportunism or negotiation. Finally, we investigate how the proposed approach scales with the different parameters involved, and provide empirical evaluations to illustrate the pros and cons associated with the proposed style of planning.
AB - In order to be acceptable members of future human-robot ecosystems, it is necessary for autonomous agents to be respectful of the intentions of humans cohabiting a workspace and account for conflicts on shared resources in the environment. In this paper we build an integrated system that demonstrates how maintaining predictive models of its human colleagues can inform the planning process of the robotic agent. We propose an Integer Programming based planner as a general formulation of this flavor of "humanaware" planning and show how the proposed formulation can be used to produce different behaviors of the robotic agent, showcasing compromise, opportunism or negotiation. Finally, we investigate how the proposed approach scales with the different parameters involved, and provide empirical evaluations to illustrate the pros and cons associated with the proposed style of planning.
UR - http://www.scopus.com/inward/record.url?scp=85014135449&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014135449&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85014135449
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 1069
EP - 1077
BT - AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
Y2 - 9 May 2016 through 13 May 2016
ER -