Motion recognition and generation by combining reference-point-dependent probabilistic models

Komei Sugiura, Naoto Iwahashi

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

10 Citations (Scopus)

Abstract

This paper presents a method to recognize and generate sequential motions for object manipulation such as placing one object on another or rotating it. Motions are learned using reference-point-dependent probabilistic models, which are then transformed to the same coordinate system and combined for motion recognition/generation. We conducted physical experiments in which a user demonstrated the manipulation of puppets and toys, and obtained a recognition accuracy of 63% for the sequential motions. Furthermore, the results of motion generation experiments performed with a robot arm are presented.

Original languageEnglish
Title of host publication2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Pages852-857
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS - Nice, France
Duration: 2008 Sep 222008 Sep 26

Publication series

Name2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Other

Other2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
CountryFrance
CityNice
Period08/9/2208/9/26

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Motion recognition and generation by combining reference-point-dependent probabilistic models'. Together they form a unique fingerprint.

  • Cite this

    Sugiura, K., & Iwahashi, N. (2008). Motion recognition and generation by combining reference-point-dependent probabilistic models. In 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (pp. 852-857). [4651169] (2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS). https://doi.org/10.1109/IROS.2008.4651169