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Wiimote Robot Control Using Human Motion Models
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. (CAS)ORCID iD: 0000-0003-2078-8854
2009 (English)In: 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, NEW YORK: IEEE , 2009, 5509-5515 p.Conference paper (Refereed)
Abstract [en]

As mass-market video game controllers have become more advanced, there has been a recent increase in interest for using these as intuitive and inexpensive control devices. In this paper we examine position control for a robot using a wiimote game controller. We show that human motion models can be used to achieve better precision than traditional tracking approaches, sufficient for simpler tasks. We also present an experiment that shows that very intuitive control an be achieved, as novice subjects can control a robot arm through simple tasks after just a few minutes of practice and minimal instructions.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2009. 5509-5515 p.
Keyword [en]
Accelerometers, Games, Humans, Intelligent robots, Level control, Motion control, Observability, Position control, Robot control, Target tracking
National Category
URN: urn:nbn:se:kth:diva-33486DOI: 10.1109/IROS.2009.5354593ISI: 000285372903064ScopusID: 2-s2.0-76249121340ISBN: 978-1-4244-3803-7OAI: diva2:415643
Available from: 2011-09-26 Created: 2011-05-09 Last updated: 2011-10-05Bibliographically approved

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Smith, ChristianChristensen, Henrik I.
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