Detail publikace

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.

Anglický název

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

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

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

Vydáno

2021-09-10

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Místo

Japan

ISBN

9784907764739

Kniha

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

Strany od–do

612–617

Počet stran

6

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"
}