Towards opportunistic action selection in human-robot cooperation

Authors:
Thibault Kruse;Alexandra Kirsch
Affiliations:
Department of Informatics, Technische Universität München;Department of Informatics, Technische Universität München
Venue:
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Year:
2010

Citing 6
Cited 0

Principles of intention reconsideration

Proceedings of the fifth international conference on Autonomous agents
The Belief-Desire-Intention Model of Agency

ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Planning-based prediction for pedestrians

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Dynamic generation and execution of human aware navigation plans

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A testbed for adaptive human-robot collaboration

KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
A Human Aware Mobile Robot Motion Planner

IEEE Transactions on Robotics

Quantified Score

Hi-index	0.00

Visualization

Abstract

A robot that is to assist humans in everyday activities should not only be efficient, but also choose actions that are understandable for a person. One characteristic of human task achievement is to recognize and exploit opportunities as they appear in dynamically changing environments. In this paper we explore opportunistic behavior for robots in the context of pick and place tasks with human interaction. As a proof of concept we prototypically embed an opportunistic robot control program, showing that the robot exhibits opportunistic behavior using spatial knowledge, and we validated the feasibility of cooperation in a simulator experiment.