Simulation of a human following robot with object avoidance function

Nattawat Pinrath, Nobuto Matsuhira

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

Abstract

This study aims to propose an object avoidance algorithm for use in a human-following robot. The algorithm is tested in a well-known robot simulator called virtual robot experiment platform (V-REP), which includes built-in models for realistic sensors and robot platforms. This paper describes a basic path-planning algorithm for following a human target and then describes algorithms for obstacle avoidance and target reacquisition. Simulations are run for each situation that the human-following robot could encounter. Simulation results show that the algorithm is ready to be implemented in a physical robot prototype.

Original languageEnglish
Title of host publicationProceedings - 12th SEATUC Symposium, SEATUC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538650943
DOIs
Publication statusPublished - 2018 Mar 1
Event12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018 - Yogyakarta, Indonesia
Duration: 2018 Mar 122018 Mar 13

Publication series

NameProceedings - 12th SEATUC Symposium, SEATUC 2018

Conference

Conference12th South East Asian Technical University Consortium Sysmposium, SEATUC 2018
CountryIndonesia
CityYogyakarta
Period18/3/1218/3/13

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Keywords

  • Human-following robot
  • Obstacle avoidance
  • Path planning

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization

Cite this

Pinrath, N., & Matsuhira, N. (2018). Simulation of a human following robot with object avoidance function. In Proceedings - 12th SEATUC Symposium, SEATUC 2018 [8788864] (Proceedings - 12th SEATUC Symposium, SEATUC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEATUC.2018.8788864