A Study on Fuzzy Control of Humanoid Soccer Robot EFuRIO for Vision Control System and Walking Movement
Indra Adji Sulistijono*, Son Kuswadi*, One Setiaji*,
Inzar Salfikar**, and Naoyuki Kubota***
*Electronics Engineering Polytechnic Institute of Surabaya (EEPIS), PENS Campus, Jalan Raya ITS Sukolilo, Surabaya 60111, Indonesia
**Politeknik Aceh, Jalan Tanggul, Pango Raya, Banda Aceh 23119, Indonesia
***Faculty of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan
Instability is one of the major defects in humanoid robots. Recently, various methods on the stability and reliability of humanoid robots have been studied actively. We propose a new fuzzy-logic control scheme for vision systems that would enable a robot to search for and to kick a ball towards an opponent goal. In this paper, a stabilization algorithm is proposed using the balance condition of the robot, which is measured using accelerometer sensors during standing and walking, and turning movement are estimated from these data. From this information the robot selects the appropriate motion pattern effectively. In order to generate the appropriate reaction in various body of robot situations, a fuzzy algorithm is applied in finding the appropriate angle of the joint from the vision system. The performance of the proposed algorithm is verified by searching for a ball, walking, turning tap and ball kicking movement experiments using an 18-DOF humanoid robot, called EFuRIO.
Inzar Salfikar, and Naoyuki Kubota, “A Study on Fuzzy Control of Humanoid Soccer Robot EFuRIO for Vision Control System and Walking Movement,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.3, pp. 444-452, 2012.
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