Hidehiro Yoshida

dblp:72/4307 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1998
0000-0002-0759-8258ORCID · corroborated

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 3

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
Multi-agent systems · 77% Motion planning and robot control · 23%
Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › multi-robot coordination
cooperative object manipulation
0.011998
Human-Robots Collaboration System for Flexible Object Handling · ICRA 1998
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination
0.011998
Human-Robots Collaboration System for Flexible Object Handling · ICRA 1998
Human-robot interaction › physical human-robot interaction
physical human-robot collaboration
0.011998
Human-Robots Collaboration System for Flexible Object Handling · ICRA 1998
Robotics › Motion planning and robot control › robot control › flexible structure control
deformation control
0.011998
Human-Robots Collaboration System for Flexible Object Handling · ICRA 1998
Robotics › Motion planning and robot control › robot control
motion control
0.011998
Human-Robots Collaboration System for Flexible Object Handling · ICRA 1998

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

internal force control · 0.0force sensor noise reduction · 0.0impedance control · 0.0finite element modeling · 0.0
YearPublicationVenuePosition
1998 Human-Robots Collaboration System for Flexible Object Handling
abstract
A new concept of the human-robots collaboration is introduced in this system; the task is shared among the human and the robots. The robots appropriately deform and support the object, so that the human can easily handle it by only applying his/her intentional force to the object. First, the controller of multiple robots is designed so as to decrease the effect of noises from force sensors. Then deformation control of the flexible object is designed using the internal force applied to the object. The control system is experimentally implemented in a dual manipulator system which consists of two industrial robots. The experimental results illustrate the concept of the system.
Kazuhiro Kosuge, Satoshi Hashimoto, Hidehiro Yoshida
ICRA3
1995 Manipulation of Flexible Object by Dual Manipulators
abstract
Proposes a control algorithm of dual manipulators handling a flexible sheet metal. How to bend a sheet metal and how to manipulate the deformed sheet are discussed in this paper. First the authors derive the relation between the static deformation of the sheet metal and the bending moments exerted on the sheet using Lagrange's equation based on a finite element model of the sheet. The authors then design a control algorithm by which the motion of the manipulated sheet is controlled using the resultant force applied to the sheet and the deformation of the sheet is controlled using the internal force applied to the sheet. Since the rigidity of the deformed sheet is not uniform, that is, the stiffness of the deformed sheet may depend on the direction along which the external force is applied, the authors cannot use the compliance of the flexible sheet for tasks having interactions between the sheet and its environment. The proposed control algorithm is designed so that the apparent impedance of the manipulated sheet metal is specified. The experimental results using industrial robots illustrate the validity of the proposed control system.
Kazuhiro Kosuge, Hidehiro Yoshida, Toshio Fukuda, Masaru Sakai, Kiyoshi Kanitani
ICRA2
1994 Unified control for dynamic cooperative manipulation
abstract
This paper proposes a unified coordinated motion control algorithm of manipulators, which is applicable to both manipulation of an object and a parts-mating task. First, the authors consider the manipulation of an object by impedance controlled manipulators; the impedance of each arm is designed so that the apparent impedance of the manipulated object is specified. Then the authors consider the parts-mating problem using the same control algorithm proposed for the manipulation of a single object. The authors propose a method to design the impedance of each arm so that the relative motion of two manipulators has the dynamics of the remote center compliance. The experimental results using two industrial robots illustrate the validity of the proposed control system.>
Kazuhiro Kosuge, Hidehiro Yoshida, Toshio Fukuda, Masaru Sakai, Kiyoshi Kanitani, Kazuo Hariki
IROS2