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N. Kitamura

dblp:185/2133 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1987
—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
Motion planning and robot control · 62% Robot manipulation · 38%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › force control
adaptive force control
0.021987
Adaptive force control of manipulators with consideration of object dynamics · ICRA 1987
Flexible handling by gripper with consideration of characteristics of objects · ICRA 1986
Robotics › Robot manipulation
grasping
0.011986
Flexible handling by gripper with consideration of characteristics of objects · ICRA 1986
Robotics › Robot manipulation › manipulation control
gripper control
0.011986
Flexible handling by gripper with consideration of characteristics of objects · ICRA 1986

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

adaptive control · 0.0
YearPublicationVenuePosition
1987 Adaptive force control of manipulators with consideration of object dynamics
abstract
In this paper, a force control method for manipulators is presented with consideration of object dynamics based on the adaptive control. This method for the manipulator system is an extension of the previously proposed method for gripper systems by the authors. Since present industrial robotic manipulators commonly employ the input/ output position servo control system, it is of great interest to control both force and position of the manipulator with this control system. However, it is not easy to control the manipulator without the knowledge of object dynamics. Then, it is necessary to adjust control gains, depending on handling objects. For this purpose, a method of the adaptive force control is presented here with consideration of object dynamics. Some simulations are carried out for a manipulator system to adjust pushing forces to various objects, and show the wider applicability and the flexible manipulation of manipulators.
Toshio Fukuda, N. Kitamura, Kazuo Tanie
ICRA2
1986 Flexible handling by gripper with consideration of characteristics of objects
abstract
Conventional robots in force control, which use the input-output position control system employing high reduction gears for drive control mechanisms, have dynamics of objects in the closed control loop. And so it is necessary to adjust control gains, depending on objects. For this purpose, a method of adaptive force control is presented with consideration of static and dynamic characteristics of objects. Some experiments are carried out for a gripper system to adjust the grasping and/or holding force to various objects whether they are soft and hard, and show the wider applicability and the flexible manipulation of the conventional gripper.
Toshio Fukuda, N. Kitamura, Kazuo Tanie
ICRA2