2020
DOI: 10.1186/s40648-020-00187-w
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Dynamic manipulation of unknown string by robot arm: realizing momentary string shapes

Abstract: We propose a method to realize the dynamic manipulation of a string with unknown characteristics via a high-speed robot arm. We use a mass-spring-damper model for the string and repeat three steps: motion generation, real manipulation, and parameter estimation. Robot motion is given by the joint angular velocities expressed by the Bezier curves. Their control points are randomly positioned to generate various robot motion for dynamic string manipulation. The generated motion is performed by a wire-driven robot… Show more

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Cited by 7 publications
(2 citation statements)
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“…The authors have realized several motion objectives for strings with unknown properties by repeating motion generation, actual manipulation, and parameter estimation [22] [23] [24]. Specifically, our proposed method differs from previous research as it does not acquire training samples by manipulating the robot in the real world in advance, as in previous studies.…”
Section: Contribution Of This Papermentioning
confidence: 99%
See 1 more Smart Citation
“…The authors have realized several motion objectives for strings with unknown properties by repeating motion generation, actual manipulation, and parameter estimation [22] [23] [24]. Specifically, our proposed method differs from previous research as it does not acquire training samples by manipulating the robot in the real world in advance, as in previous studies.…”
Section: Contribution Of This Papermentioning
confidence: 99%
“…The reason for adopting this approach is that the proposed method utilizes parameters derived from the actual manipulation of the robot arm, thus the parameters are estimated to the specific motion of the string. Therefore, if the direction of the force applied to the string differs significantly, the estimated parameters may not be valid, as demonstrated in [22].…”
Section: B Motion Generation Of the Second And Subsequent Manipulationmentioning
confidence: 99%