IMPROVED INTELLIGENT BASE TECHNIQUE FOR PATH AND SOLUTION IN ROBOTIC USING PREWILL EDGE DETECTION PARADIGM

The major contribution in this research paper is concerned with the development of a humanoid robot using edge detection technique which selects features of the principal parts of the object and eliminates parts that are not necessary. The developed prototype of the motorized robot shows that robots in real life exhibit some level of intelligence. In the design process, the model of a humanoid robot was developed first using the simulink library tools in Matlab/Simulink environment. This research paper has improved autonomous path finding robots by incorporating very powerful and well-structured program/codes that gives the robot the ability to predict and make smart decision lending to efficient execution of desired assignment (picking of dirt in the surrounding).Result shows that the developed robot has simplified the way No robot interacts with object thereby saving cost and energy. A motorized autonomous path finding robot was designed and constructed to demonstrate the working principle of robot. The motorized robot and the humanoid robot have the capability to detect obstacle along its part at 30cm away from the obstacle. When the robot is switched on, it initializes after which forward movement until it gets 30cm closer to an obstacle it then stops, reverse backwards and then change direction. When it moves 30cm close to another obstacle, it stops reverse backwards, then turns left or right to another direction, and will continue to behave that way until the power button is switched off