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Offsetting obstacles of any shape for robot motion planning

Published online by Cambridge University Press:  19 March 2014

Md Nasir Uddin Laskar ,
Hoang Huu Viet ,
Seung Yoon Choi ,
Ishtiaq Ahmed ,
Sungyoung Lee  and
Tae Choong Chung
Md Nasir Uddin Laskar
Affiliation:
Artificial Intelligence Lab., Department of Computer Engineering, Kyung Hee University, Gyeonggi-do 446-701, South Korea
Hoang Huu Viet
Affiliation:
Department of Information Technology, Vinh University, 182-Le Duan, Vinh City, Nghe An, Vietnam
Seung Yoon Choi
Affiliation:
Artificial Intelligence Lab., Department of Computer Engineering, Kyung Hee University, Gyeonggi-do 446-701, South Korea
Ishtiaq Ahmed
Affiliation:
Artificial Intelligence Lab., Department of Computer Engineering, Kyung Hee University, Gyeonggi-do 446-701, South Korea
Sungyoung Lee
Affiliation:
Ubiquitous Computing Lab., Department of Computer Engineering, Kyung Hee University, Gyeonggi-do 446-701, South Korea
Tae Choong Chung*
Affiliation:
Artificial Intelligence Lab., Department of Computer Engineering, Kyung Hee University, Gyeonggi-do 446-701, South Korea
*
*Corresponding author. E-mail: [email protected]
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Summary

We present an algorithm for offsetting the workspace obstacles of a circular robot. Our method has two major steps: It finds the raw offset curve for both lines and circular arcs, and then removes the global invalid loops to find the final offset. To generate the raw offset curve and remove global invalid loops, O(n) and O((n+k)log m) computational times are needed respectively, where n is the number of vertices in the original polygon, k is the number of self-intersections and m is the number of segments in the raw offset curve, where m ≤ n. Any local invalid loops are removed before generating the raw offset curve by invoking a pair-wise intersection detection test (PIDT). In the PIDT, two intersecting entities are checked immediately after they are computed, and if the test is positive, portions of the intersecting segments are removed. Our method works for conventional polygons as well as the polygons that contain circular arcs. Our algorithm is simple and very fast, as each sub-process of the algorithm can be completed in linear time except the last one, which is nearly linear. Therefore, the overall complexity of the algorithm is nearly linear. By applying our simple and efficient approach, offsetting obstacles of any shape make it possible to construct a configuration space that ensures optimized motion planning.

Keywords

Mobile robotObstaclePolygon offsettingMotion planningConfiguration spaceGlobal invalid loop
Type
Articles
Information
Robotica , Volume 33 , Issue 4 , May 2015 , pp. 865 - 883
Copyright
Copyright © Cambridge University Press 2014 

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