IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

A Study on Co Evolutionary Robotics


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International Journal for Innovative Research in Science & Technology
Volume 4 Issue - 5
Year of Publication : 2017
Authors : K.Sentamilselvi

BibTeX:

@article{IJIRSTV4I5002,
     title={A Study on Co Evolutionary Robotics},
     author={K.Sentamilselvi},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={5},
     pages={8--13},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I5002.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

In this paper we have provided the fundamental issue of fully mechanical design and building of economical robots and their controller. Rather than seek an bright general purpose robot — the humanoid robot, everywhere in today’s research as the long term goal — we are increasing the information skill that can design and manufacture special-purpose mechanism and controllers to achieve specific short-term objectives. These robots will be constructed from reusable sensors, effectors, and computers held together with materials custom “written” by rapid prototyping tackle. By releasing the goal of designing software controllers for presented equipment in favor of the mechanical co-design of software and hardware mutually, we will be replicating the principles used by biology in the creation of complex groups of animals adapted to specific environments. Encoding control software has become as hard as more degrees of autonomy and task goals are added to robots, that the most advanced ones do not get past the stage of teleportation or choreographed behavior. In other words, they are puppets, not robots. Our most important suggestion is that the reason current approaches to robotics often fail is because of a dryness of the complexity of the software mean problem.


Keywords:

Robotics, Genetic Algorithm, 2D, Software


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