Application of game-theoretic learning to gray-box modeling of McKibben pneumatic artificial muscle systems

Kiminao Kogiso, Ryo Naito, Kenji Sugimoto. Application of game-theoretic learning to gray-box modeling of McKibben pneumatic artificial muscle systems. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, November 3-7, 2013. pages 5795-5802, IEEE, 2013. [doi]

Abstract

Abstract is missing.