Path learning algorithm for fully indigenous multimedia and guide robot

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Abstract

A fully indigenous guide and multimedia robot, is designed to welcome guests and visitors and guide them for campus-tour with appropriate multimedia information. Path leaning algorithm is developed for the robot to make it follow a defined route in the University campus. It can interact with visitors and play multimedia on screen. ZIGBEE nodes are placed at few predefined locations and when robot reaches in its range, it starts playing the information regarding that location. To reach the predefined location robot uses obstacle avoidance using bubble rebound algorithm. It also uses training data set I for the calculation of distance and time with respect to routeand training data set II to get the heading in degree from magnetic compass as machine learning. A robotic Arm is connected to welcome guest by positioning ‘NAMASKAR’. Obstacle avoiding algorithm is applied to avoid collision in the way. Design of robot and verification of results has been performed and result shows no error in the path learning. Paper covers the complete technical specifications and steps to design the robot.

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APA

Singh, R., Anita, Khilrani, J., Sah, A., Parmar, M., & Kumar, S. (2019). Path learning algorithm for fully indigenous multimedia and guide robot. International Journal of Mechatronics and Applied Mechanics, 1(6), 7–16. https://doi.org/10.17683/ijomam/issue6.1

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