Title

Increasing Robot Autonomy Effectively Using The Science Of Teams

Keywords

Human-robot interaction; situation awareness; system design

Abstract

Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in their decision making and sensing. A critical issue, then, is designing future robots so that humans can work with them collaboratively, thereby creating effective human-robot teams. Operators of robot systems can mitigate the problems of robot uncertainty by maintaining awareness of the relevant elements within the mission and their interrelationships, a cognitive state known as situation awareness (SA). However, as evidenced in other complex systems, such as aircraft, this is a difficult task for humans. In this paper, we consider how application of the science of human teaming, specifically task design and task interdependence in human teams, can be applied to human-robot teams and how it may improve human-robot interaction by maximizing situation awareness and performance of the human team member. © 2013 Springer-Verlag Berlin Heidelberg.

Publication Date

1-1-2013

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

8021 LNCS

Issue

PART 1

Number of Pages

313-320

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-642-39405-8_35

Socpus ID

84884898721 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84884898721

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