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The existing stereotypical robots are machines programmed to follow a set of definite orders and unfit to encounter anything that is not straight forward.

A prototype for an intelligent robot has been designed by Abhishek Roy, who recently earned his degree in Electronics and Instrumentation from VIT University. His mentor and guide, Dr Mathew Mithra Noel, introduced him to the concept of Artificial Neural Networks towards the end of his pre-final year, the application of which resulted in the design of a line-following robot that has notched up robotic research a new level hitherto unprecedented in the country.

With the help of only four neurons, this improvised robot was designed to learn tasks from a human trainer unlike the older versions. The complexity of the design was simplified by applying a hybrid strategy of neural networks and expert systems to aid in control decision making. Another novel feature the design includes is a sensory matrix which facilitates detection of curves along the path, thereby enabling it to follow curved paths. According to the team, the intelligent robot can learn to be a personal assistant and perform tasks like fetching grocery and pick/drop actions. It can double up as security by tracking intruders when fixed with a surveillance camera.

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Source: Cool Age

Author: Jyothsna Ganesh

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