Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kensaku Kanada

dblp:92/5018 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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
2 papers
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.122005
Strategy of Picking Up Thin Plate by Robot Hand Using Deformation of Soft Fingertip · ICRA 2005
Dexterous manipulation from pinching to power grasping -strategy selection according to object dimensions and grasping position · ICRA 2003
Robotics › Robot manipulation
dexterous manipulation
0.122005
Dexterous manipulation from pinching to power grasping -strategy selection according to object dimensions and grasping position · ICRA 2003
Strategy of Picking Up Thin Plate by Robot Hand Using Deformation of Soft Fingertip · ICRA 2005
Robotics › Robot manipulation › grasping › soft robotic grasping
soft-fingered grasping
0.112005
Strategy of Picking Up Thin Plate by Robot Hand Using Deformation of Soft Fingertip · ICRA 2005

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

soft finger deformation · 0.1strategy selection · 0.0numerical simulation · 0.0
YearPublicationVenuePosition
2005 Strategy of Picking Up Thin Plate by Robot Hand Using Deformation of Soft Fingertip
abstract
In this paper, grasping strategy using deformation of soft finger is addressed. Soft fingers, which are made of macromolecular and have large elastic deformation, have gotten a lot of attention. Soft fingers have a peculiarity that high friction force, which stabilizes a grasping condition, is generated by expansion of contact area between tip of soft finger and grasping object. However, until now nobody focuses on the fact that deformation of soft finger enables multi-fingered hand to generate force to manipulate a object which has high aspect ratio and restricted by environment. Accordingly, we focus on a task to pick up a thin plate on a floor using deformation of soft finger. The effectiveness of grasping strategy is confirmed by experiments.
Takayuki Matsuno, Kensaku Kanada, Fumihito Arai, Hideo Matsuura, Toshio Fukuda
ICRA2
2003 Dexterous manipulation from pinching to power grasping -strategy selection according to object dimensions and grasping position
abstract
This paper discusses practical strategies for transition from a pinching to a power grasping, where a multi-fingered hand mounted on a robotic arm envelops a cylindrical object on a table. When the manipulation system grasps a cylindrical object like a pen on a desk, a complete enveloping is not impossible in the initial configuration. The system firstly pinches the object only with two or three fingers and then grasps it with fingers and a palm after regrasping. In this pinching-grasping transition maneuver, human unconsciously selects proper strategy according to some conditions including object dimensions and initial pinching positions. In this paper we therefore develop six possible strategies for this pinching-grasping transition and then investigate their performances for some objects with various dimensions and various grasping positions, using numerical simulations. Based on their results, a strategy selection algorithm for these conditions is proposed and some experiment results are shown.
Yasuhisa Hasegawa, Hayato Ioka, Toshio Fukuda, Kensaku Kanada
ICRA4