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Grasp planning pre-computation by considering center of gravity of objects and its evaluation using OpenRAVE

Authors: Kosuke Tsuchiya; Satoshi Kagami; Wataru Yoshizaki; Hiroshi Mizoguchi;

Grasp planning pre-computation by considering center of gravity of objects and its evaluation using OpenRAVE

Abstract

This paper presents a grasp planning method that takes into account center of gravity of objects in a pre-computation phase, thereby improving an existing method for grasp planning in complex scenes[1]. In the pre-computation phase, the system additionally calculates the distance from fingertips to the center of gravity of an object to use in ranking different proposed grasps, in order to achieve stable grasping with less force. Then we implement the proposed system in the OpenRAVE[2] environment that provides the original method[1]. Evaluation experiments were conducted with the Kawada Nextage[3] robot fitted with our original hand. Results show that the proposed method always grasps target objects closer to their center of gravity.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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