Improved human-robot team performance using chaski, a human-inspired plan execution system

  • Authors:
  • Julie Shah;James Wiken;Brian Williams;Cynthia Breazeal

  • Affiliations:
  • Massachusettes Institute of Technology, Cambridge, MA, USA;Massachusettes Institute of Technology, Cambridge, MA, USA;Massachusettes Institute of Technology, Cambridge, MA, USA;Massachusettes Institute of Technology, Cambridge, MA, USA

  • Venue:
  • Proceedings of the 6th international conference on Human-robot interaction
  • Year:
  • 2011

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Abstract

We describe the design and evaluation of Chaski, a robot plan execution system that uses insights from human-human teaming to make human-robot teaming more natural and fluid. Chaski is a task-level executive that enables a robot to collaboratively execute a shared plan with a person. The system chooses and schedules the robot's actions, adapts to the human partner, and acts to minimize the human's idle time. We evaluate Chaski in human subject experiments in which a person works with a mobile and dexterous robot to collaboratively assemble structures using building blocks. We measure team performance outcomes for robots controlled by Chaski compared to robots that are verbally commanded, step-by-step by the human teammate. We show that Chaski reduces the human's idle time by 85%, a statistically significant difference. This result supports the hypothesis that human-robot team performance is improved when a robot emulates the effective coordination behaviors observed in human teams.