A hybrid obstacle avoidance method: follow the gap with dynamic window approach

Aykut Ozdemir, Volkan Sezer

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

32 Citations (Scopus)

Abstract

Follow the Gap Method (FGM) is an obstacle avoidance method which uses gap arrays. This method recursively directs robot to the goal state while avoiding the obstacles through the safest gap. Since FGM is a geometric method, it does not consider the robot dynamics. For this reason, oscillations or collisions due to robot dynamics is possible. On the other hand, FGM calculates a desired heading angle but it does not give linear and angular velocity reference. Dynamic Window Approach (DWA) is one of the most popular obstacle avoidance algorithm which does take robot dynamics into consideration. It calculates best angular and linear velocity pair which is chosen by an objective function. In this paper, a FGM-DW approach which uses the strongest elements of FGM and DWA methods to achieve safe, smooth and fast navigation is proposed. The FGM-DW approach provides these concerns and meets the low level angular and rotational velocity requirement of FGM.

Original languageEnglish
Title of host publicationProceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-262
Number of pages6
ISBN (Electronic)9781509067237
DOIs
Publication statusPublished - 11 May 2017
Event1st IEEE International Conference on Robotic Computing, IRC 2017 - Taichung, Taiwan, Province of China
Duration: 10 Apr 201712 Apr 2017

Publication series

NameProceedings - 2017 1st IEEE International Conference on Robotic Computing, IRC 2017

Conference

Conference1st IEEE International Conference on Robotic Computing, IRC 2017
Country/TerritoryTaiwan, Province of China
CityTaichung
Period10/04/1712/04/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Dynamic Window Approach
  • Follow the Gap Method
  • Obstacle Avoidance
  • Robot Operating System

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