Today there is a great need of antiterrorism as today’s world is surrounded by various terrorisms. Many robots have been built for this purpose using different methodologies among which daisy chain is prominent in most of the cases. Phase adjusted by a coupled oscillator model has also been used to provide walking of humanoid robot. We are exploiting the application EV3 Mind storm to implement the grid based locomotion of robot in a guided way in terms of input coordinates to provide one way to feasibly realize an armed soldier robot.
The resulting model is tested for each coordinate in which our robot is required to make decision on basis of signs of abscissa i.e. x coordinate and ordinate i.e. y coordinate to go along required course of axes to reach the specific location prescribed by input coordinates. Our robot on reaching the destination location search the target, locate its gun and fire until it completes its task. After this our robot will move back along the axes to reach its source location.
Testing and calibration depends upon center of gravity of robot. Depending upon the load of the end effecter & the manipulator, the center of gravity changes. Thus this needs calibration, provided that load of end effecter is constant, the calibration will work satisfactorily.
This work can be extended further by visual realization so that autonomous implementation of input coordinates can be done to provide localization of targets. Also by using sophisticated sensors the robot decision making tendency can be further enhanced to differentiate between the target, civilian, and, army forces.
Dr: Imtiaz Hussain Kalwar
Dr: Tayyab din Memon
Department Of Electronics Engineering
MEHRAN UNIVERSITY OF ENGINEERING & TECHNOLOGY
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