Efficient wall-corner collision avoidance using D-images

Guohe Fu, Xinyu Zhang

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

Abstract

When an autonomous mobile robot exploring in an unstructured environment, it may often enter a wall-corner, but be stuck there. We present a wall-corner collision detection and avoidance algorithm using depth images. We first determine if a mobile robot is trapped in a wall-corner using historic alternate turnings. Then we propose a geometric approach to let the robot escape a corner. We demonstrate the efficiency of our algorithm using simulations and experimental tests. Using our algorithm, a robot can quickly detect and escape wall-corners. Moreover, we extend our algorithm to handle a very challenging scenario, Z-shaped Zigzag paths.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1048-1053
Number of pages6
ISBN (Electronic)9781509023943
DOIs
StatePublished - 1 Sep 2016
Event13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 - Harbin, Heilongjiang, China
Duration: 7 Aug 201610 Aug 2016

Publication series

Name2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016

Conference

Conference13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
Country/TerritoryChina
CityHarbin, Heilongjiang
Period7/08/1610/08/16

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