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IJAT Vol.15 No.6 pp. 774-783
doi: 10.20965/ijat.2021.p0774
(2021)

Paper:

Realization of Swing Manipulation by 3-DOF Robot Arm for Unknown String via Parameter Estimation and Motion Generation

Kenta Tabata, Hiroaki Seki, Tokuo Tsuji, and Tatsuhiro Hiramitsu

Graduate School of Natural Science and Technology, Kanazawa University
Kakuma-machi, Kanazawa, Ishikawa 920-1192, Japan

Corresponding author

Received:
March 25, 2021
Accepted:
June 15, 2021
Published:
November 5, 2021
Keywords:
dynamic manipulation, unknown characteristics, periodic manipulation, string, swing
Abstract

Dynamically manipulating flexible objects using robots is difficult. Some studies have been conducted that only considered one type of object with known properties or that needed an identification test for string properties in advance. We propose a method to realize the dynamic manipulation of a string with unknown characteristics. We use a mass-spring-damper model for the string and repeat three steps: motion generation, real manipulation, and parameter estimation. The proposed method estimates the string properties to realize the motion objective via the real manipulation of the string. An identification test in advance was not necessary. In this study, we focus on swing manipulation. This can increase the motion energy of a string without a high-power actuator. After making a large swing, the robot can throw strings to a more distant target, such as a hammer throw. This motion is useful for explanation robots, rescue robots, and so on. We modified the proposed method to generate a swing manipulation. Then, we investigate whether swing manipulation can be performed by the proposed method and demonstrate its effectiveness via experiments with various strings with unknown characteristics.

Cite this article as:
Kenta Tabata, Hiroaki Seki, Tokuo Tsuji, and Tatsuhiro Hiramitsu, “Realization of Swing Manipulation by 3-DOF Robot Arm for Unknown String via Parameter Estimation and Motion Generation,” Int. J. Automation Technol., Vol.15, No.6, pp. 774-783, 2021.
Data files:
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Last updated on Nov. 30, 2021