Biologically inspired design framework for Robot in Dynamic Environments using Framsticks

TL;DR

This paper introduces a biologically inspired framework for designing robots capable of adapting to dynamic environments, utilizing co-evolution, virtual ecology, and lifelong learning within a Framsticks simulation.

Contribution

It presents a novel design approach based on biological principles and demonstrates its application through a virtual Khepera robot in Framsticks, analyzing behavior and failure modes.

Findings

Successful simulation of robot behaviors in various environments

Identification of parameters affecting hardware and software reliability

Demonstration of adaptive control program generation

Abstract

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.