Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help

In this paper, we investigate physical human–robot interaction (PHRI) as an important extension of traditional HRI research. The aim of this research is to develop a motor learning system that uses physical help from a human helper. We first propose a new control system that takes advantage of inher...

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Main Authors: Shuhei Ikemoto, Takashi Minato, Hiroshi Ishiguro
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.1080/11762320902808143
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author Shuhei Ikemoto
Takashi Minato
Hiroshi Ishiguro
author_facet Shuhei Ikemoto
Takashi Minato
Hiroshi Ishiguro
author_sort Shuhei Ikemoto
collection DOAJ
description In this paper, we investigate physical human–robot interaction (PHRI) as an important extension of traditional HRI research. The aim of this research is to develop a motor learning system that uses physical help from a human helper. We first propose a new control system that takes advantage of inherent joint flexibility. This control system is applied on a new humanoid robot called CB2. In order to clarify the difference between successful and unsuccessful interaction, we conduct an experiment where a human subject has to help the CB2 robot in its rising-up motion. We then develop a new measure that demonstrates the difference between smooth and non-smooth physical interactions. An analysis of the experiment’s data, based on the introduced measure, shows significant differences between experts and beginners in human–robot interaction.
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institution Kabale University
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series Applied Bionics and Biomechanics
spelling doaj-art-7e2cb7ab88d045d5943bd4cfa8b7e36e2025-02-03T01:26:38ZengWileyApplied Bionics and Biomechanics1176-23221754-21032008-01-015421322310.1080/11762320902808143Analysis of Physical Human–Robot Interaction for Motor Learning with Physical HelpShuhei Ikemoto0Takashi Minato1Hiroshi Ishiguro2Adaptive Machine System, Osaka University, Osaka, JapanJapan Science and Technology Agency, ERATO, Asada Synergistic Intelligence Project, Saitama, JapanAdaptive Machine System, Osaka University, Osaka, JapanIn this paper, we investigate physical human–robot interaction (PHRI) as an important extension of traditional HRI research. The aim of this research is to develop a motor learning system that uses physical help from a human helper. We first propose a new control system that takes advantage of inherent joint flexibility. This control system is applied on a new humanoid robot called CB2. In order to clarify the difference between successful and unsuccessful interaction, we conduct an experiment where a human subject has to help the CB2 robot in its rising-up motion. We then develop a new measure that demonstrates the difference between smooth and non-smooth physical interactions. An analysis of the experiment’s data, based on the introduced measure, shows significant differences between experts and beginners in human–robot interaction.http://dx.doi.org/10.1080/11762320902808143
spellingShingle Shuhei Ikemoto
Takashi Minato
Hiroshi Ishiguro
Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help
Applied Bionics and Biomechanics
title Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help
title_full Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help
title_fullStr Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help
title_full_unstemmed Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help
title_short Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help
title_sort analysis of physical human robot interaction for motor learning with physical help
url http://dx.doi.org/10.1080/11762320902808143
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AT takashiminato analysisofphysicalhumanrobotinteractionformotorlearningwithphysicalhelp
AT hiroshiishiguro analysisofphysicalhumanrobotinteractionformotorlearningwithphysicalhelp