16-05-2013, 01:48 PM
Bio-inspired Robotics
Bio-inspired.doc (Size: 1.83 MB / Downloads: 26)
Introduction:
Our approach is characterized with a strong inclination for biological inspiration in which examples in nature — social insects in particular — are used as a way of designing strategies for controlling mobile robots. This approach has been successfully applied to the study of task, namely, Ant’s algorithms used in computer networks for routing data between Routers.
This phenomenon found in ants to derive the necessary behaviors for accomplishing this task. We study a species of ant known to possess this capability.
“bio-Computing” is a way “to understand how the relation of brain, body and environment produce behavior, to clarify the essential problems posed, and to devise and test hypotheses under realistic conditions” social insects were capable of successfully navigating and acting in the face of uncertain and unpredictable environments. It was reasoned that if a single robot required complex systems and techniques in order to perform in a reliable manner, then perhaps intelligent systems could be designed with many “simpler” robots using a minimalist approach to sensing and actuation; where group behavior is an emergent property and control is decentralized. Could system reliability be achieved by trading complexity for redundancy coupled with ”randomness” used to explore possible solution paths, which are often traits found in social insect colonies? May be, biology can teach us a thing or two about engineering swarms of simple interacting robots, and the theoretical foundations developed to model and explain these behaviors found in insect colonies can be used to underpin a more rigorous approach to collective robot design. Nature has already demonstrated the feasibility of this approach by way of the social insects.
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.
Our design:
Bio inspiration from a cockroach:
We designed the robot by observing the insect behavior of cockroach; the basic function of cockroach is scavenger duty in kitchen at night. Our designed robot works on the intelligence of cockroach.
The robot performs its cleaning tasks when we go to bed at night and it cleans its environment randomly like a cockroach searches for its food and if we switch ON any light it follows back to its home just by identifying the wall nearest to it and follow the wall till it reaches a hole, similarly intelligence is applied in our robot. The robot does not use any HI-FI systems, complex algorithm and internal navigation system but the bio inspired intelligence of cockroach and the task is completed at minimum cost.