Automatic Configuration Recognition Methods in Modular Robots

Recognizing useful modular robot configurations composed of hundreds of modules is a significant challenge. Matching a new modular robot configuration to a library of known configurations is essential in identifying and applying control schemes. We present three different algorithms to address the problem of (a) matching and (b) mapping new robot configurations onto a library of known configurations. The first method solves the problem using graph isomorphisms and can identify configurations that share the same underlying graph structure, but have different port connections amongst the modules. The second approach compares graph spectra of configuration matrices to find a permutation matrix that maps a given configuration to a known one. The third algorithm exploits the unique structure of the problem for the particular robots used in our research to achieve impressive gains in performance and speed over existing techniques, especially for larger configurations. With these three algori...

• Type: Journal
• Year: 2008
• Where: IJRR
• Authors: Michael Park, Sachin Chitta, Alex Teichman, Mark Yim
• Keywords: Algorithms, IJRR 2008, Modular Robot Configuration, Robot Configurations