DocumentCode
1054146
Title
Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots
Author
Shen, Wei-Min ; Salemi, Behnam ; Will, Peter
Author_Institution
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA
Volume
18
Issue
5
fYear
2002
fDate
10/1/2002 12:00:00 AM
Firstpage
700
Lastpage
712
Abstract
Presents a biologically inspired approach to two basic problems in modular self-reconfigurable robots: adaptive communication in self-reconfigurable and dynamic networks, and distributed collaboration between the physically coupled modules to accomplish global effects such as locomotion and reconfiguration. Inspired by the biological concept of hormone, the paper develops the adaptive communication (AC) protocol that enables modules continuously to discover changes in their local topology, and the adaptive distributed control (ADC) protocol that allows modules to use hormone-like messages in collaborating their actions to accomplish locomotion and self-reconfiguration. These protocols are implemented and evaluated, and experiments in the CONRO self-reconfigurable robot and in a Newtonian simulation environment have shown that the protocols are robust and scaleable when configurations change dynamically and unexpectedly, and they can support online reconfiguration, module-level behavior shifting, and locomotion. The paper also discusses the implication of the hormone-inspired approach for distributed multiple robots and self-reconfigurable systems in general.
Keywords
distributed control; mobile robots; multi-robot systems; self-adjusting systems; CONRO self-reconfigurable robots; Newtonian simulation environment; distributed collaboration; distributed control; dynamic networks; hormone-inspired adaptive communication; hormone-like messages; locomotion; physically coupled modules; reconfiguration; Adaptive control; Communication system control; Distributed control; International collaboration; Network topology; Programmable control; Protocols; Robot kinematics; Robot sensing systems; Robotics and automation;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/TRA.2002.804502
Filename
1067992
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