Toshio Ogiso
Hitachi
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Publication
Featured researches published by Toshio Ogiso.
international symposium on neural networks | 1991
Christopher Kozakiewicz; Toshio Ogiso; Norihisa Miyake
A parallel neural network architecture called a partitioned network is proposed for applications which demand high learning accuracy. The partitioned neural network is composed of a preprocessing layer and partition modules containing dedicated neurons. The learning equations used are those of the backpropagation algorithm. The network has been applied to learning of the inverse kinematic solution of a six-degree-of-freedom robot manipulator. After training, the partitioned network was able to predict robot joint angles not included in the training data set with average errors of 0.9 degrees , 3.6 degrees , 2.1 degrees , 6.9 degrees , 6.5 degrees , and 8.5 degrees for the first, second, third, fourth, fifth, and sixth joints, respectively.<<ETX>>
intelligent robots and systems | 1990
Christopher Kozakiewicz; Toshio Ogiso; Norihisa Miyake
A software-based calibration method is developed to decrease the positioning errors of a SCARA assembly robot caused by static deflection of the robot arm under force and moment load. A robot stiffness model is constructed and used to calculate differential joint angle corrections which are then applied to the inverse kinematic solution of the ideal robot model to compensate for the static deflection errors. Least squares polynomial approximation and a neural network are used for storing the joint correction values and for interpolation. A computer simulation of the calibration method demonstrated a decrease in the average positioning error from 0.43 mm to 0.03 mm and in the range of error from +or-0.35 mm to +or-0.10 mm in the calibrated area.<<ETX>>
intelligent robots and systems | 1991
Toshio Ogiso; Fujio Tajima; Akinobu Takemoto; Nobumoto Kezuka; Masaru Kobayashi
In order to achieve fast robotic movement, a control system with a fast response time achieved by using a velocity control unit with high proportional control gain is needed. However, low-frequency mechanical resonance is a limitation. Installation of dynamic vibration absorbers is an effective method for decreasing the resonance peak and increasing the proportional gain. This paper proposes an optimal design method for dynamic vibration absorbers installed in multijoint mechanisms. The absorbers are driven by several motors and have dynamic coupling axes. Results of an experiment using a mechanisms with and without absorbers, are described and the validity of the proposed design method is confirmed.<<ETX>>
Archive | 1990
Nobumoto Kezuka; Masaru Kobayashi; Toshio Ogiso; Fujio Tajima; Akinobu Takemoto
Archive | 1999
Akira Mori; Yukio Yamamoto; Kazumi Takahashi; Shogo Matsumoto; Junichi Matsuno; Taisaku Seino; Toshio Ogiso; Yasushi Kinoshita; Keiji Kamio; Kazutaka Sato
Archive | 2003
Toshio Ogiso; Masaru Nakano; Hiromitsu Fukuda; Shigeru Obata; Toru Hanashima; Kazushige Oonishi; Chikara Hiraoka; Toru Ohashi; Akira Shimizu; Kazuo Kikuchi; Shogo Matsumoto; Shoji Ukei; Katsuyoshi Onose; Tsuyoshi Koyama
Archive | 1991
Kazuo Honma; Masami Iizuka; Takenori Jinriki; Nobumoto Kezuka; Toshio Ogiso; Fusaaki Ozawa; 敏夫 小木曽; 房明 小沢; 和男 本間; 伸元 毛塚; 健則 神力; 正美 飯塚
Archive | 2004
Shunichi Oohara; Tetsuji Takegoshi; Toshio Ogiso; Shigeru Obata; Kenji Asuwa
Archive | 2008
Tsutomu Hiraoka; Hiroyoshi Matsumoto; Toshio Ogiso; Akira Shimada; 敏夫 小木曽; 島田 昭; 平岡 力; 博好 松本
Jsme International Journal Series C-mechanical Systems Machine Elements and Manufacturing | 2000
Masamichi Tomita; Toshio Ogiso; Yasuhiro Nemoto; Masakatsu G. Fujie