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Yutaka Hino

dblp:126/2719 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1997
—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 · 87% Motion planning and robot control · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping › multifingered grasping
enveloping grasp
0.011997
On three phases for achieving enveloping grasps-inspired by human grasping · ICRA 1997
Robotics › Robot manipulation
grasping
0.011997
On three phases for achieving enveloping grasps-inspired by human grasping · ICRA 1997
Robotics › Motion planning and robot control › robot control › contact control › contact task control › robot force control
contact force control
0.011997
On three phases for achieving enveloping grasps-inspired by human grasping · ICRA 1997

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

torque control · 0.0natural computation mode · 0.0
YearPublicationVenuePosition
1997 On three phases for achieving enveloping grasps-inspired by human grasping
abstract
A practical procedure for achieving an, enveloping grasp is presented especially for cylindrical objects. It is composed of three phases, the approach phase, the lifting phase and the grasping phase. For the grasping phase, we introduce the natural computation mode in which a preset torque is commanded to each joint, so that both the equilibrium position and the contact forces may be determined automatically. A sufficient condition for achieving the enveloping grasps is shown for the given procedure. Experimental results are also shown to verify the effectiveness of the proposed grasping procedure.
Makoto Kaneko, Yutaka Hino, Toshio Tsuji
ICRA2