Obstacle avoidance with translational and efficient rotational motion control considering movable gaps and footprint for autonomous mobile robot

Ayanori Yorozu, Masaki Takahashi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper presents a sensor-based real-time obstacle avoidance method for an autonomous omnidirectional mobile robot based on simultaneous control of translational and efficient rotational motion considering movable gaps and the footprint. Autonomous mobile service robots that have been developed in recent years have arms that work and execute tasks. Depending on the task using moving parts, the shape of the robot (i.e., the footprint) changes. In this study, to improve the safety and possibility of reaching a goal even through a narrow gap with unknown obstacles, a sensor-based real-time obstacle avoidance method with simultaneous control of translational and efficient rotational motion (without unnecessary rotational motion) based on the evaluation of movable gaps and the footprint is proposed. To take account of the anisotropy footprint of the robot, multiple-circle robot model is proposed. In this paper, a novel control method based on fuzzy set theory is presented. To verify the effectiveness of the proposed method, several simulations and experiments are carried out.

Original languageEnglish
Pages (from-to)1352-1364
Number of pages13
JournalInternational Journal of Control, Automation and Systems
Volume14
Issue number5
DOIs
Publication statusPublished - 2016 Oct 1

Keywords

  • Autonomous mobile robot
  • fuzzy set theory
  • omnidirectional drive system
  • sensor-based real-time obstacle avoidance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Obstacle avoidance with translational and efficient rotational motion control considering movable gaps and footprint for autonomous mobile robot'. Together they form a unique fingerprint.

  • Cite this