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Kenichi Takeuchi

dblp:84/2782 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.011998
Optimization of Robot Hand Power Grasps · ICRA 1998
Robotics › Robot manipulation › grasping
grasp optimization
0.011998
Optimization of Robot Hand Power Grasps · ICRA 1998

Methods — techniques the papers use, named apart from their topics

force space analysis · 0.0feasible joint torque region · 0.0
YearPublicationVenuePosition
1998 Optimization of Robot Hand Power Grasps
abstract
When an object is grasped by a multifingered hand with power grasp, there are an infinite number of possible power grasp forms, provided by combinations of the hand shape, the contact positions between fingers and the object, and the joint torques of the hand. To plan a power grasp, it is necessary to know, by some prior evaluation which form is most suitable among these forms. This paper proposes a technique for automatically obtaining optimal power grasp. By analyzing the degree of freedom of the force space caused by frictional contacts between fingers and object, the conditions and mechanical properties of power grasp are described. Also, the region of feasible joint torques for power grasp is derived. Then, an optimal power grasp form is defined and its determination procedure is established.
Yong Yu 0003, Kenichi Takeuchi, Tsuneo Yoshikawa
ICRA2