DocumentCode :
123344
Title :
Autonomous and cooperative multirobot system for multi-object transportation
Author :
Maghsoud, Pegah ; De Silva, Clarence W. ; Khan, Mohammad Taha
Author_Institution :
Ind. Autom. Lab., Univ. of British Columbia, Vancouver, BC, Canada
fYear :
2014
fDate :
22-24 Aug. 2014
Firstpage :
211
Lastpage :
217
Abstract :
This paper presents a multi-robot cooperation algorithm for object transportation, and is inspired by artificial immune system (AIS). The robotic team comprises multiple heterogeneous robots each with a unique set of capabilities. The developed multi-robot system (MRS) is autonomous and fully distributed. The task allocation algorithm allows for concurrent execution of multiple tasks in the system. Tasks in the developed MRS are heterogeneous objects that are randomly introduced to the system. The transportation of an object may only need a single robot or may require multiple cooperative robots. Essentially the developed MRS runs in an unknown, unstructured and dynamic environment. An experimental implementation and test results are used to demonstrate the effectiveness of the developed MRS.
Keywords :
artificial immune systems; goods distribution; multi-robot systems; transportation; AIS; artificial immune system; heterogeneous robots; multiobject transportation; multirobot cooperation algorithm; multirobot system; robotic team; task allocation algorithm; Artificial intelligence; Collision avoidance; Computers; Immune system; Robot kinematics; Transportation; Multi-robot system; artificial immune system; autonomous and distributed robotic systems; cooperative object transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
Type :
conf
DOI :
10.1109/ICCSE.2014.6926456
Filename :
6926456
Link To Document :
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