Modelling and evaluating failures in human-robot teaming using simulation

Lanssie M. Ma, Martijn Ijtsma, Karen M. Feigh, Abhinay Paladugu, Amy R. Pritchett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

As robotic capabilities improve and robots become more capable as team members, a better understanding of effective human-robot teaming is needed. In this paper, we investigate failures by robots in various team configurations in space EVA operations. This paper describes the methodology of extending and the application of Work Models that Compute (WMC), a computational simulation framework, to model robot failures, interruptions, and the resolutions they require. Using these models, we investigate how different team configurations respond to a robot's failure to correctly complete the task and overall mission. We also identify key factors that impact the teamwork metrics for team designers to keep in mind while assembling teams and assigning taskwork to the agents. We highlight different metrics that these failures impact on team performance through varying components of teaming and interaction that occur. Finally, we discuss the future implications of this work and the future work to be done to investigate function allocation in human-robot teams.

Original languageEnglish (US)
Title of host publication2018 IEEE Aerospace Conference, AERO 2018
PublisherIEEE Computer Society
Pages1-16
Number of pages16
ISBN (Electronic)9781538620144
DOIs
StatePublished - Jun 25 2018
Event2018 IEEE Aerospace Conference, AERO 2018 - Big Sky, United States
Duration: Mar 3 2018Mar 10 2018

Publication series

NameIEEE Aerospace Conference Proceedings
Volume2018-March
ISSN (Print)1095-323X

Other

Other2018 IEEE Aerospace Conference, AERO 2018
CountryUnited States
CityBig Sky
Period3/3/183/10/18

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Modelling and evaluating failures in human-robot teaming using simulation'. Together they form a unique fingerprint.

Cite this