Improved follow the gap method for obstacle avoidance

Mustafa Demir, Volkan Sezer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Citations (Scopus)

Abstract

Follow the Gap Method (FGM) is a safety-focused geometric obstacle avoidance algorithm for local navigation. In this method, the largest gap around the robot is selected and the robot moves towards a goal point considering the largest gap and minimum distance to obstacle. One of the drawbacks of the method is the extension of the path which sometimes happens unnecessarily. Another drawback comes from small differences between the gap sizes. This sometimes makes the robot to change the selected gaps instantly which causes zigzag trajectories. In this paper, Improved Follow the Gap Method (FGM-I) is presented to eliminate these two drawbacks. In FGM-I, the gaps are selected according to a new utility function and unnecessary gap changes are penalized. A differential drive powerchair is used in simulations. The simulation results show that the FGM-I reduces the effects of the mentioned problems seriously.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1435-1440
Number of pages6
ISBN (Electronic)9781509059980
DOIs
Publication statusPublished - 21 Aug 2017
Event2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Germany
Duration: 3 Jul 20177 Jul 2017

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Conference

Conference2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Country/TerritoryGermany
CityMunich
Period3/07/177/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Fingerprint

Dive into the research topics of 'Improved follow the gap method for obstacle avoidance'. Together they form a unique fingerprint.

Cite this