Biologically Inspired Intelligent Robots

Robotics is a combination of electronics, mechanical, computers and instrumentation.Artificial intelligence is one of the most complicated tasks in robotics. Without considering the facts of electronics, mechanical, and instrumentation people are trying to make use of the optimal solutions from AI.

But unfortunately the solutions may not be the optimal in implementation in real time due to lack of co-ordination and leaving behind the nature’s make.

Traditional Artificial Intelligence:

 The traditional artificial intelligence which is followed by the world today is not producing 100% fruit full results and it is narrowing the thinking methodology of developing the artificial intelligence for a given particular task in real time environment. 

The traditional artificial intelligences calculates the position and controls a mobile robot by giving the directions using 2D calculations it will decided by taking feed back from electronic systems like COMPASS MODULE, GPRS, GPS, GIROSCOPE etc. which makes it more complex and costly. By using all such devices it makes the product much costlier.

How useful is biological inspiration

Colonies of social insects share many system-level characteristics we desire from collective robot systems: simple agents, decentralized control, robustness through mass effect, redundancy, flexibility and autonomy. The many rich examples of colony level collective behavior provided by biologists provide a wealth of data with which to inspire and to provide an underpinning for initial robotic designs. Although useful as a starting point in MRS design, biological inspiration has its limits and engineering models can and should be improved from their biomimetic beginnings.

By

B.s.Satya kanth, V.Sidhartha,Dipin Sharma