Object trajectory information for robotic service in intelligent space

Weerachai Skulkittiyut, Toru Yamaguchi, Makoto Mizukawa

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

Abstract

Implementation of robotic service is needed extremely enormous of information including environment, place, user and object knowledge. It is extremely difficult for a robot to do tasks ordered by a human without having some basic knowledge or information. This paper proposes a method to create object knowledge focusing on an object and object's place relationship for the robotic service namely tidy-up service, in which a robot is asked to take objects such as books, cups, dishes on a table to appropriate places automatically. In details, as the first phase, we conduct a questionnaire to collect the trajectories in term of places of individual object from the participants. Based on the collected object trajectory information, we are able to build Markov chain model of the object which the states are possible places and transition probabilities are the probability that the object moved from one place to other places. In final, we are able to use the transition probability including the Markov chain model to predict and provide the next appropriate place. The result showed that the proposed approach is efficient in creating object trajectory as knowledge, hence, helping the robots to and to provide intuitive service.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
Pages1172-1176
Number of pages5
Volume490-491
DOIs
Publication statusPublished - 2014
Event2013 2nd International Conference on Mechanical Design and Power Engineering, ICMDPE 2013 - Beijing
Duration: 2013 Nov 292013 Nov 30

Publication series

NameApplied Mechanics and Materials
Volume490-491
ISSN (Print)16609336
ISSN (Electronic)16627482

Other

Other2013 2nd International Conference on Mechanical Design and Power Engineering, ICMDPE 2013
CityBeijing
Period13/11/2913/11/30

Fingerprint

Robotics
Trajectories
Robots
Markov processes

Keywords

  • Intelligent space
  • Markov chain model
  • Object trajectory information
  • Robotic service

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Skulkittiyut, W., Yamaguchi, T., & Mizukawa, M. (2014). Object trajectory information for robotic service in intelligent space. In Applied Mechanics and Materials (Vol. 490-491, pp. 1172-1176). (Applied Mechanics and Materials; Vol. 490-491). https://doi.org/10.4028/www.scientific.net/AMM.490-491.1172

Object trajectory information for robotic service in intelligent space. / Skulkittiyut, Weerachai; Yamaguchi, Toru; Mizukawa, Makoto.

Applied Mechanics and Materials. Vol. 490-491 2014. p. 1172-1176 (Applied Mechanics and Materials; Vol. 490-491).

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

Skulkittiyut, W, Yamaguchi, T & Mizukawa, M 2014, Object trajectory information for robotic service in intelligent space. in Applied Mechanics and Materials. vol. 490-491, Applied Mechanics and Materials, vol. 490-491, pp. 1172-1176, 2013 2nd International Conference on Mechanical Design and Power Engineering, ICMDPE 2013, Beijing, 13/11/29. https://doi.org/10.4028/www.scientific.net/AMM.490-491.1172
Skulkittiyut W, Yamaguchi T, Mizukawa M. Object trajectory information for robotic service in intelligent space. In Applied Mechanics and Materials. Vol. 490-491. 2014. p. 1172-1176. (Applied Mechanics and Materials). https://doi.org/10.4028/www.scientific.net/AMM.490-491.1172
Skulkittiyut, Weerachai ; Yamaguchi, Toru ; Mizukawa, Makoto. / Object trajectory information for robotic service in intelligent space. Applied Mechanics and Materials. Vol. 490-491 2014. pp. 1172-1176 (Applied Mechanics and Materials).
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