AUTOMATED GUIDED ROBOT (AGR)

This project concerns the design and fabrication of the Automated Guided Robot
(AGR) prototype, utilizing artificial intelligence (AI) and genetic algorithm (GA) as a
mainframe in helping the robot to generate a self-understanding of the area of work
and mobilization to a destination desired by the user. The main objective of this
project is to create and develop a Path Planning Mobile Robot able to avoid obstacles
in its path and reach a target designated position from its starting point utilizing 3
wheel-based rover body, sensors, linear motors and microcontrollers. Compared to
manual mobile robots, AGRs require sensors and control systems that generate
feedback for the re-evaluation of an unexpected situation and to detect obstacles in
the path the AGR is required to follow. The paper describes the network algorithms
developed and used in the design process of the AGR including simulations and
circuit designs done for the prototype. A general robotics circuit construction of the
mainframe target board for central processing, a controller board for the sensor
feedbacks and a small base tri-wheeled structure has been fabricated by the author
and continual troubleshooting and enhancement has been done for these components
of the AGR. Algorithm conversion to C code programming has been done throughout
the project for the obstacle avoidance and path planning algorithms based upon the
GA platform ofAI.