Learning Trajectory and Force Control of an Artificial Muscle Arm. - Masazumi Katayama; Mitsuo Kawato (NIPS, 1990)

Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models. - Masazumi Katayama; Mitsuo Kawato (Biol. Cybern., 1993)

A system structure with trajectory planning and control for robotic dynamic manipulation. - Xin-Zhi Zheng; Kazuya Ono; Masaki Yamakita; Masazumi Katayama; Koji Ito (Adv. Robotics, 1996)

An extension of passive velocity field control to cooperative multiple manipulator systems. - Masaki Yamakita; Koji Suzuki; Xin-Zhi Zheng; Masazumi Katayama; Koji Ito (IROS, 1997)

Object Recognition and Formation of Hand Shape in Human Grasping Movements. - Hiroshi Fukuda; Naohiro Fukumura; Masazumi Katayama; Yoji Uno (ICONIP, 1998)

Relation between object recognition and formation of hand shape: A computational approach to human grasping movements. - Hiroshi Fukuda; Naohiro Fukumura; Masazumi Katayama; Yoji Uno (Syst. Comput. Jpn., 2000)

A Neural Control Model Using Predictive Adjustment Mechanism of Viscoelastic Property of the Human Arm. - Masazumi Katayama (ICANN, 2001)

Independence of Perception and Action for Grasping Positions. - Takahiro Fujita; Yoshinobu Maeda; Masazumi Katayama (ICONIP (1), 2007)

Coordinated Control of Reaching and Grasping During Prehension Movement. - Masazumi Katayama; Hirokazu Katayama (ICONIP (1), 2007)

An Internal Model of the Human Hand Affects Recognition of Graspable Tools. - Masazumi Katayama; Yusuke Akimaru (ICONIP (4), 2016)

Computational model to reproduce fingertip trajectories and arm postures during human three-joint arm movements: minimum muscle-stress-change model. - Masazumi Katayama (Biol. Cybern., 2025)