Study of Intelligent Impedance Control Using a Fuzzy Neural Network
Keywords:adaptive force control, fuzzy neural network, Intelligent impedance control
This paper presents study of adaptive force control that takes into account object characteristics using a fuzzy neural network. This study applies fuzzy theory to position control and force control, similar to those actually implemented by industrial robots, to enable automatic establishment of optimum parameters for different environments and autonomous, flexible motion.
How to Cite
Sato, Y. (2014). Study of Intelligent Impedance Control Using a Fuzzy Neural Network. Proceedings of the 57th Annual Meeting of the ISSS - 2013 HaiPhong, Vietnam, 1(1). Retrieved from https://journals.isss.org/index.php/proceedings57th/article/view/2046