Observation of human trajectory in response to haptic feedback from mobile robot

Hee Seung Moon, Woohyun Kim, Seungjae Han, Jiwon Seo

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

2 Citations (Scopus)

Abstract

The coupled movement of humans and robots is an integral aspect of human–robot cooperation. However, while extensive research has been conducted on robot movement, research on human movement in collaboration with robot movement is relatively rare. In this study, we performed an experiment to analyze the walking trajectory of a blindfolded participant receiving haptic feedback from a mobile robot. For this experiment, we employed a mobile robot system equipped with a haptic device. In order to observe the effects of haptic feedback on human and robot movements, we generated appropriate haptic feedback that can guide humans to the desired path. The experiment was performed in a laboratory environment equipped with a motion capture system in order to analyze the participant’s walking trajectory when the appropriate haptic feedback was provided. We also compared the effects of haptic feedback on the human trajectory at large and small turning angles. The findings of this research indicate that human movement can be controlled though provision of appropriate haptic instruction by mobile robots.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages1530-1534
Number of pages5
ISBN (Electronic)9788993215151
Publication statusPublished - 2018 Dec 10
Event18th International Conference on Control, Automation and Systems, ICCAS 2018 - PyeongChang, Korea, Republic of
Duration: 2018 Oct 172018 Oct 20

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2018-October
ISSN (Print)1598-7833

Other

Other18th International Conference on Control, Automation and Systems, ICCAS 2018
CountryKorea, Republic of
CityPyeongChang
Period18/10/1718/10/20

Bibliographical note

Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2018R1D1A1B07043580). This research was also supported by the Ministry of Science and ICT (MSIT), Korea, under the “ICT Consilience Creative Program” (IITP-2018-2017-0-01015) supervised by the Institute for Information & Communications Technology Promotion (IITP).

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Observation of human trajectory in response to haptic feedback from mobile robot'. Together they form a unique fingerprint.

Cite this