The impact of human-automation collaboration in decentralized multiple unmanned vehicle control

Published

Conference Paper

For future systems that require one or a small team of operators to supervise a network of automated agents, automated planners are critical since they are faster than humans for path planning and resource allocation in multivariate, dynamic, time-pressured environments. However, such planners can be brittle and unable to respond to emergent events. Human operators can aid such systems by bringing their knowledge-based reasoning and experience to bear. Given a decentralized task planner and a goal-based operator interface for a network of unmanned vehicles in a search, track, and neutralize mission, we demonstrate with a human-on-the-loop experiment that humans guiding these decentralized planners improved system performance by up to 50%. However, those tasks that required precise and rapid calculations were not significantly improved with human aid. Thus, there is a shared space in such complex missions for human-automation collaboration. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • Cummings, ML; How, JP; Whitten, A; Toupet, O

Published Date

  • March 1, 2012

Published In

Volume / Issue

  • 100 / 3

Start / End Page

  • 660 - 671

International Standard Serial Number (ISSN)

  • 0018-9219

Digital Object Identifier (DOI)

  • 10.1109/JPROC.2011.2174104

Citation Source

  • Scopus