Towards enhancing the understanding of human motor learning

Jorge Solis, Atsuo Takanishi

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

3 Citations (Scopus)

Abstract

The research on human-robot interaction (HRI) has been an emerging topic of interest for both basic research and customer application. The studies specially focus on behavioral and cognitive aspects of the interaction and the social contexts surrounding it. HRI issues have long been a part of robotics research because the goal of fully autonomous capability has not been met yet. One of the most challenging problems is giving the robots an understanding of how to interact with human beings at the same logical level so that they may function not as passive tools, but rather as active agents that can drive the human interaction, instead of merely reproducing a sequence of movements. Hence, these robots must have higher level cognitive functions that include knowing how to reason, when to perceive and what to look for, how to integrate perception and action under changing conditions, etc. These functions will enable robots to perform more complex tasks which require tight human interaction; consequently, the robots can perform high level interactions such as teaching motor skills to unskilled people. In this paper, the development of active training systems for medical training purposes designed to provide quantitative information as well as to provide feedback to medical students are detailed.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Automation Science and Engineering, CASE 2009
Pages591-596
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 12
Event2009 IEEE International Conference on Automation Science and Engineering, CASE 2009 - Bangalore, India
Duration: 2009 Aug 222009 Aug 25

Publication series

Name2009 IEEE International Conference on Automation Science and Engineering, CASE 2009

Conference

Conference2009 IEEE International Conference on Automation Science and Engineering, CASE 2009
CountryIndia
CityBangalore
Period09/8/2209/8/25

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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  • Cite this

    Solis, J., & Takanishi, A. (2009). Towards enhancing the understanding of human motor learning. In 2009 IEEE International Conference on Automation Science and Engineering, CASE 2009 (pp. 591-596). [5234174] (2009 IEEE International Conference on Automation Science and Engineering, CASE 2009). https://doi.org/10.1109/COASE.2009.5234174