Path planning of the autonomous mobile robot by using real-time rolling risk estimation with fuzzy inference

Mutsumi Iwasa, Yuichiro Toda, Azhar Aulia Saputra, Naoyuki Kubota

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

1 Citation (Scopus)

Abstract

Along with the advancement of research on intelligent robotics, the situation where the robot moves independently and performs work in real environment is expanding. In such situation, it is one of the highest priority for the autonomous mobile robot to reach the destination point without failure. Therefore, we consider the transfer of the mobile robot on pre-planned paths to a partially observed environment. When the mobile robot encounters danger in the observing environment and determines to take a detour, it is necessary to re-plan safe routes in a short time. In this study, we focused on the rollover risk of mobile robot. And we simulate the autonomous rerouting of the mobile robot for finding a more secure route such that it can safely arrive at the destination point, whenever it senses high possibility of rollover. By using fuzzy inference to judge rollover risk, the mobile robot judges the necessity of route change according to the magnitude of risk. We also aimed to quickly perform rerouting by using the D∗ Lite algorithm in real-time for robot movement. We propose a method to realize route planning modification based on evaluation and judgment of rollover risk by combining fuzzy inference and D∗ Lite algorithm. As a result, we confirm that the autonomous mobile robot can reach the destination point by real-time evaluation of the risk and taking detour action as necessary. Experiments are conducted through computer simulation using a virtual mobile robot and a 3D path based on graph theory. Finally, we discuss about the result of the simulation.

Original languageEnglish
Title of host publication2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781538627259
DOIs
Publication statusPublished - Feb 2 2018
Externally publishedYes
Event2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Honolulu, United States
Duration: Nov 27 2017Dec 1 2017

Other

Other2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
CountryUnited States
CityHonolulu
Period11/27/1712/1/17

Fingerprint

Autonomous Mobile Robot
Fuzzy Inference
Fuzzy inference
Path Planning
Motion planning
Mobile Robot
Mobile robots
Real-time
Robot
Route Planning
Path
Necessary
Evaluation
Robots
Graph theory
Robotics
Computer Simulation
Planning
Experiment
Computer simulation

Keywords

  • Autonomous mobile robot
  • D∗ Lite algorithm
  • Fuzzy inference
  • Path planning
  • Risk simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization

Cite this

Iwasa, M., Toda, Y., Saputra, A. A., & Kubota, N. (2018). Path planning of the autonomous mobile robot by using real-time rolling risk estimation with fuzzy inference. In 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings (Vol. 2018-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2017.8285367

Path planning of the autonomous mobile robot by using real-time rolling risk estimation with fuzzy inference. / Iwasa, Mutsumi; Toda, Yuichiro; Saputra, Azhar Aulia; Kubota, Naoyuki.

2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

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

Iwasa, M, Toda, Y, Saputra, AA & Kubota, N 2018, Path planning of the autonomous mobile robot by using real-time rolling risk estimation with fuzzy inference. in 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, United States, 11/27/17. https://doi.org/10.1109/SSCI.2017.8285367
Iwasa M, Toda Y, Saputra AA, Kubota N. Path planning of the autonomous mobile robot by using real-time rolling risk estimation with fuzzy inference. In 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/SSCI.2017.8285367
Iwasa, Mutsumi ; Toda, Yuichiro ; Saputra, Azhar Aulia ; Kubota, Naoyuki. / Path planning of the autonomous mobile robot by using real-time rolling risk estimation with fuzzy inference. 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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