Biologically inspired design framework for Robot in Dynamic Environments using Framsticks

Computer Science – Neural and Evolutionary Computing

Scientific paper

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presented in the conference DPPR2011 at MS University, Tirunelveli, India; International Journal on Bioinformatics & Bioscienc

Scientific paper

Robot design complexity is increasing day by day especially in automated industries. In this paper we propose biologically inspired design framework for robots in dynamic world on the basis of Co-Evolution, Virtual Ecology, Life time learning which are derived from biological creatures. We have created a virtual khepera robot in Framsticks and tested its operational credibility in terms hardware and software components by applying the above suggested techniques. Monitoring complex and non complex behaviors in different environments and obtaining the parameters that influence software and hardware design of the robot that influence anticipated and unanticipated failures, control programs of robot generation are the major concerns of our techniques.

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