Title :
Time optimized digital image processing of ball and plate system using artificial neural network
Author :
Yasaman Parandian;Hannaneh Z. Arabshahi;Ali Nasr;S. Ali A. Moosavian
Author_Institution :
Center of Excellence in Robotics and Control, Advanced Robotics and Automated Systems (ARAS) Lab., Department of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran
Abstract :
Regarding robot interaction with moving objects and the necessity for robot controller to react in a timely manner having the objects current position, finding an efficient positioning method has always been a challenge. As ball and plate system is considered to be a standard experimental system in control laboratories. The system is consisted of the following pieces: a horizontal plate which gets tilted along each horizontal axes. The ball, which is located on the plate; is controlled by the system in a way to be placed in any point on the plate. In fact, the ball and plate system is an extension of the classical ball on beam experiment that is often used to study various types of control and stability problems.
Keywords :
"Kinematics","Arrays","Parallel robots","Artificial neural networks","Manipulators"
Conference_Titel :
Robotics and Mechatronics (ICROM), 2015 3rd RSI International Conference on
DOI :
10.1109/ICRoM.2015.7367775