Mobile human-robot teaming with environmental tolerance

  • Authors:

  • Matthew M. Loper;Nathan P. Koenig;Sonia H. Chernova;Chris V. Jones;Odest C. Jenkins

  • Affiliations:

  • Brown University, Providence, RI, USA;University of Southern California, Los Angeles, CA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;iRobot Corporation, Bedford, MA, USA;Brown University, Providence, RI, USA

  • Venue:
  • Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
  • Year:
  • 2009

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Abstract

We demonstrate that structured light-based depth sensing with standard perception algorithms can enable mobile peer-to-peer interaction between humans and robots. We posit that the use of recent emerging devices for depth-based imaging can enable robot perception of non-verbal cues in human movement in the face of lighting and minor terrain variations. Toward this end, we have developed an integrated robotic system capable of person following and responding to verbal and non-verbal commands under varying lighting conditions and uneven terrain. The feasibility of our system for peer-to-peer HRI is demonstrated through two trials in indoor and outdoor environments.