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Symmetric caging formation for convex polygonal object transportation by multiple mobile robots based on fuzzy sliding mode control

Title
Symmetric caging formation for convex polygonal object transportation by multiple mobile robots based on fuzzy sliding mode control
Author(s)
Dai, YanyanKim, YoonGuWee, SungGilLee, DongHaLee, SukGyu
Issued Date
2016-01
Citation
ISA Transactions, v.60, pp.321 - 332
Type
Article
Keywords
Artificial Potential Field MethodCollision AvoidanceConvex Polygonal Object TransportationFuzzy Sliding-Mode Control MethodsFuzzy Sliding Mode ControlFuzzy SystemsMachine DesignMinimizing The Number ofMobile RobotsMultiple Mobile RobotNon-Holonomic Mobile RobotsObstacle AvoidancePolygonal ObjectsRobotsSliding Mode ControlSTRATEGYSymmetric Caging FormationSYSTemS
ISSN
0019-0578
Abstract
In this paper, the problem of object caging and transporting is considered for multiple mobile robots. With the consideration of minimizing the number of robots and decreasing the rotation of the object, the proper points are calculated and assigned to the multiple mobile robots to allow them to form a symmetric caging formation. The caging formation guarantees that all of the Euclidean distances between any two adjacent robots are smaller than the minimal width of the polygonal object so that the object cannot escape. In order to avoid collision among robots, the parameter of the robots radius is utilized to design the caging formation, and the A∗ algorithm is used so that mobile robots can move to the proper points. In order to avoid obstacles, the robots and the object are regarded as a rigid body to apply artificial potential field method. The fuzzy sliding mode control method is applied for tracking control of the nonholonomic mobile robots. Finally, the simulation and experimental results show that multiple mobile robots are able to cage and transport the polygonal object to the goal position, avoiding obstacles. © 2015 ISA. Published by Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/20.500.11750/5130
DOI
10.1016/j.isatra.2015.11.017
Publisher
Elsevier
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Appears in Collections:
Division of Intelligent Robotics 1. Journal Articles
Convergence Research Center for Wellness 1. Journal Articles

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