Evolving CAM-Brain to control a mobile robot

Sung Bae Cho, Geum Beom Song

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


CAM-Brain is the model to create neural networks based on cellular automata, and finally aims at developing an artificial brain. In particular, this model can rapidly evolve the neural networks composed of several thousand modules with special purpose computers such as CAM-8 at MIT and CBM at ATR. This paper attempts to evolve a module of CAM-Brain for the problem to control a mobile robot, especially Khepera, which might show the feasibility of evolutionary engineering to develop an artificial brain. The original model has been modified to solve a couple of problems which are caused by evolving CAM-Brain to control a mobile robot. Some preliminary experiments show the potential of CAM-Brain at the problem of control.

Original languageEnglish
Pages (from-to)147-162
Number of pages16
JournalApplied Mathematics and Computation
Issue number2
Publication statusPublished - 2000 May 15

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Applied Mathematics


Dive into the research topics of 'Evolving CAM-Brain to control a mobile robot'. Together they form a unique fingerprint.

Cite this