Fractal gene regulatory networks for robust locomotion control of modular robots

Payam Zahadat, David Johan Christensen, Ulrik Pagh Schultz, Serajeddin Katebi, Kasper Støy

Research output: Contribution to conference - NOT published in proceeding or journalPaperResearch


Designing controllers for modular robots is difficult due to the distributed and dynamic nature of the robots. In this paper fractal gene regulatory networks are evolved to control modular robots in a distributed way. Experiments with different morphologies of modular robot are performed and the results show good performance compared to previous results achieved using learning methods. Furthermore, some experiments are performed to investigate evolvability of the achieved solutions in the case of module failure and it is shown that the system is capable of come up with new effective solutions.
Original languageUndefined/Unknown
Publication date2010
Number of pages11
Publication statusPublished - 2010
Externally publishedYes

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