HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Towards Opportunistic Action Selection in Human-Robot Cooperation

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.
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

Contributor : Alexandra Kirsch Connect in order to contact the contributor
Submitted on : Wednesday, November 30, 2016 - 1:46:10 PM
Last modification on : Thursday, January 6, 2022 - 11:38:04 AM
Long-term archiving on: : Monday, March 27, 2017 - 7:50:15 AM


Files produced by the author(s)



Thibault Kruse, Alexandra Kirsch. Towards Opportunistic Action Selection in Human-Robot Cooperation. 33rd Annual German Conference on Artificial Intelligence (KI 2010), 2010, Karlsruhe, Germany. pp.374 - 381, ⟨10.1007/978-3-642-16111-7_43⟩. ⟨hal-01405761⟩



Record views


Files downloads