Publication detail

Navigation and Task Planning of a Mobile Robot under ROS Environment: A Case Study Using AutoRace Challenge

SHEN, D. CHIN, H. TU, C. CHIH, J. VENGLÁŘ, V. CHEN, K. KREJSA, J. VECHET, S.

Original Title

Navigation and Task Planning of a Mobile Robot under ROS Environment: A Case Study Using AutoRace Challenge

Type

conference paper

Language

English

Original Abstract

With the development in artificial intelligence, autonmous vehicle or mobile robot has gradually shown their potentials in various applications. therefore, various contest platforms, such as DockieTown and AutoRace, have been developed for learning related techniques. This paper summarizes and demonstrates our efforts on developing various navigation and task planning missions for the AutoRace challenge, in which mobile robots must recognize a designated track, to reach the destination with minimum time and numbers of faults.

Keywords

Artificial Intelligence; Deep learning; Mobile robots; Navigation; ROS

Authors

SHEN, D.; CHIN, H.; TU, C.; CHIH, J.; VENGLÁŘ, V.; CHEN, K.; KREJSA, J.; VECHET, S.

Released

10. 9. 2021

Publisher

Institute of Electrical and Electronics Engineers Inc.

Location

Japan

ISBN

9784907764739

Book

2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan

Pages from

612

Pages to

617

Pages count

6

URL

https://www.scopus.com

BibTex

@inproceedings{BUT182465,
  author="SHEN, D. and CHIN, H. and TU, C. and CHIH, J. and VENGLÁŘ, V. and CHEN, K. and KREJSA, J. and VECHET, S.",
  title="Navigation and Task Planning of a Mobile Robot under ROS Environment: A Case Study Using AutoRace Challenge",
  booktitle="2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan",
  year="2021",
  pages="612--617",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="Japan",
  isbn="9784907764739",
  url="https://www.scopus.com"
}