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Volume 1 (1983)
- Issue 4 Pages 243-
- Issue 3 Pages 163-
- Issue 2 Pages 3-
- Issue 1 Pages 4-
Volume 1, Issue 3
Displaying 1-10 of 10 articles from this issue
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[in Japanese]1983 Volume 1 Issue 3 Pages 163
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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Ichiro KATO1983 Volume 1 Issue 3 Pages 164-166
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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Suguru ARIMOTO, Fumio MIYAZAKI1983 Volume 1 Issue 3 Pages 167-175
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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Hirofumi MIURA, Isao SHIMOYAMA1983 Volume 1 Issue 3 Pages 176-181
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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—A Low Order Model and a Hierarchial Control Strategy—Junji FURUSHO1983 Volume 1 Issue 3 Pages 182-190
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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Masami ITO, Tatsuo NARIKIYO1983 Volume 1 Issue 3 Pages 191-195
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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Atsuo TAKANISHI1983 Volume 1 Issue 3 Pages 196-203
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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1983 Volume 1 Issue 3 Pages 204-212
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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—An Approach to Kinematics and Dynamics on the basis of Vector Notation—[in Japanese]1983 Volume 1 Issue 3 Pages 217-223
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
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Masatoshi OKUTOMI, Masahiro MORI1983 Volume 1 Issue 3 Pages 226-232
Published: October 30, 1983
Released on J-STAGE: August 25, 2010
JOURNAL FREE ACCESSIn this paper a method of deciding robot's movement by means of potential field is proposed and simple simulations using it are shown. Especially two concepts, “State space for robots” and “Oval potential”, are unique.
A robot which utilizes the proposed method has a potential field as what keeps informations about its surrounding situation. The field is formed in a space that represents the robot's state (state space) . And the robot's state that is a point in the space moves according to the potential distribution.
The principal characteristics of this method are following.
•As a robot's state is represented by a point, the decision of movement can be made simply.
•And the oval potential is used for potential distribution, the robot's state moves successfully, the object is memorized by a little information and the calculation for the potential is easy.View full abstractDownload PDF (2644K)
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