doi:10.3850/978-981-08-7723-1_P226


Optimizing Ping-pong Player Robot Arm Path based on PSO Algorithm with New Initializing Method


H. Khoshravana and A. Naebib

Electrical and Computer Faculty, Qazvin Islamic Azad University, Qazvin, Iran.

ah.khoshravan@qiau.ac.ir
ba.naebi@qazviniau.ac.ir

ABSTRACT

Designing of robot controllers is the most commonly used in the engineering field. In this matter, intelligent designing of controller with minimum human intervention in a major challenge. We chose ping-pong player robot for to run a controller training algorithm on it. Our Algorithm has 2 main sections. 1st we produce a pattern of the best racket path for each ball path. In the 2nd section we use this pattern to train a Nero-Fuzzy inference system. In this article we study 1st section as a multi-objective optimization problem which is solved by PSO algorithm.

Keywords: Particle swarm optimization, NNT, Event base, Ping-pong robot.


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