DocumentCode :
2395156
Title :
Empirical Study on the Effects of Synthetic Social Structures on Teams of Autonomous Vehicles
Author :
Campbell, Adam ; Wu, Annie S. ; Garfield, Keith ; Shumaker, Randall ; Luke, Sean ; De Jong, Kenneth A.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL
fYear :
0
fDate :
0-0 0
Firstpage :
440
Lastpage :
445
Abstract :
The goal of this research is to explore the effects of social interactions between individual autonomous vehicles (AVs) in various problem scenarios. We take a look at one way to construct the social relationships and generate data from computer simulations to compare the behaviors of each. A difference can be noticed when synthetic social structures (SSS) are used to control the interactions between neighboring AVs. Our experiments show that SSSs can be used to improve team performance on a problem in which a team of AVs must maneuver through a narrow corridor to reach a goal
Keywords :
mobile robots; multi-robot systems; path planning; vehicles; autonomous vehicle teams; computer simulations; empirical study; interaction control; social interactions; social relationships; synthetic social structures; team performance; Ant colony optimization; Autonomous agents; Computer science; Computer simulation; Information resources; Insects; Intelligent vehicles; Mobile robots; Remotely operated vehicles; Robot kinematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
1-4244-0065-1
Type :
conf
DOI :
10.1109/ICNSC.2006.1673186
Filename :
1673186
Link To Document :
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