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Personal Space Invaders: Exploring Robot-initated Touch-based Gestures for Collaborative Robotics

Published:02 March 2015Publication History

ABSTRACT

Robots have been physically interacting with people for many years, but almost exclusively people initiate physical contact. Robots able to initiate touch will enable a large new category of human interaction, for example collaboration in noisy environments; and can help bridge cultural and language barriers. In this paper, we outline a research plan with the goal of developing a framework for robot-initiated physical communication, towards enabling robots to work and collaborate safely with people in close proximity. Physical touch-based interaction that is acceptable and understandable to all people is a challenging goal. Instead, we aim to develop robots that start with a repertoire of general touch behaviours which are adapted to individual people's preferences as each person interacts with the robot.

References

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            • Published in

              cover image ACM Conferences
              HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts
              March 2015
              336 pages
              ISBN:9781450333184
              DOI:10.1145/2701973

              Copyright © 2015 Owner/Author

              Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 2 March 2015

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              Acceptance Rates

              HRI'15 Extended Abstracts Paper Acceptance Rate92of102submissions,90%Overall Acceptance Rate192of519submissions,37%

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