DocumentCode
1633785
Title
A foundation for kilorobotic exploration
Author
Singh, Surya P N ; Thayer, Scott M. ; Thayer, Wesley P.
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1033
Lastpage
1038
Abstract
A new concept for coordinating large-scale autonomous robot exploration teams having populations in the thousands is introduced along with several illustrative scenarios. Inspired by constructs found within the human immune system, the Immunology-derived Distributed Autonomous Robotics Architecture (IDARA) was developed so that exploratory actions are refined and followed by specific and mediated responses. The foundations of the IDARA model are derived from the immune network model; in particular, interactions derived from the innate immune system are integrated to yield a stronger first-order, all-purpose search strategy. Using this architecture as a foundation, the work develops methods for kilorobotic exploration in dynamic environments. As characterized via computer simulations with robot populations of up to 1,500 robots, IDARA-based exploration proved to be a robust and compact method for largescale multirobot coordination that combines reflexive and deliberative control methods in an opportunistic fashion, mimicking the human immune system
Keywords
digital simulation; multi-robot systems; Immunology-derived Distributed Autonomous Robotics Architecture; computer simulations; deliberative control methods; dynamic environments; exploratory actions; first-order all-purpose search strategy; human immune system; immune network model; kilorobotic exploration; large-scale autonomous robot exploration team coordination; large-scale multirobot coordination; mediated responses; reflexive control methods; Communication system control; Computer architecture; Control systems; Humans; Immune system; Large-scale systems; Robot kinematics; Robotics and automation; Robust control; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004385
Filename
1004385
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