Toward practical semi-autonomous teleoperation: Do what i intend, not what i do

Jonathan Bohren, Kelleher Guerin, Tian Xia, Gregory D. Hager, Peter Kazanzides, Louis L. Whitcomb

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

3 Scopus citations

Abstract

The discussed research trajectory could begin improving the capabilities and robustness of teleoperation immediately. Initial work related to the RRM project described in Section I-A is beginning to incorporate explicit task models that can be used to bootstrap more sophisticated approaches like those used in the Language of Surgery project. The inclusion of task and skill modeling into robotic automation, and in general the movement to more seamless human-robotic task collaboration, will have long term effects in both the technical aspects of robotics, as well as industrial and societal acceptance of robotics. One of the significant limitations to the continuing adoption of robotics has been a lack of trust. This lack of trust often manifests itself in a technical form; for instance, engineers in industry will often double check by hand the calculations or task execution plans generated by an autonomous system before allowing an action to be performed. This gives us greater confidence that the robot is performing as we would, given the situation.

Original languageEnglish (US)
Title of host publication2011 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2011 - Conference Proceedings
Pages20-23
Number of pages4
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2011 - Half Moon Bay, CA, United States
Duration: Oct 2 2011Oct 4 2011

Publication series

NameProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
ISSN (Print)2162-7568
ISSN (Electronic)2162-7576

Other

Other2011 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2011
Country/TerritoryUnited States
CityHalf Moon Bay, CA
Period10/2/1110/4/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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