Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-05T16:52:04.990Z Has data issue: false hasContentIssue false

Optimal topological transformation of underwater modular self-reconfigurable robots

Published online by Cambridge University Press:  23 August 2005

X. S. Xu
Affiliation:
Underwater Engineering Institute, Shanghai Jiao Tong University, Shanghai, 200030 (P. R. China)
T. Ge
Affiliation:
Underwater Engineering Institute, Shanghai Jiao Tong University, Shanghai, 200030 (P. R. China)
J. M. Zhu
Affiliation:
Underwater Engineering Institute, Shanghai Jiao Tong University, Shanghai, 200030 (P. R. China)

Abstract

Underwater Modular Self-Reconfigurable (UMSR) robots, made up of many identical modules, can adjust their configurations to multiple underwater environments or tasks. They can be used in many complex underwater occasions where the ROVs/AUVs can't work well. However, their reconfiguration is difficult because this has to involve many connection adding and removing operations which are difficult to be executed in the underwater environment. To reduce the times of these operations, we propose the theory of Topological Transformation (TT), which includes some definitions in TT, the basic approach to TT, and the Genetic Algorithm (GA) based solution for the optimal TT.

Type
Research Article
Copyright
© 2005 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)