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Yasumasa Ogino

dblp:144/5204 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1992
—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 · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.021992
Force control without force sensor based on mixed sensitivity H ∞ design method · ICRA 1992
High performance motion control based on model following acceleration joint control method · ICRA 1989
Robotics › Motion planning and robot control › robot control
force control
0.011992
Force control without force sensor based on mixed sensitivity H ∞ design method · ICRA 1992
Robotics › Motion planning and robot control › manipulator control
sensorless force control
0.011992
Force control without force sensor based on mixed sensitivity H ∞ design method · ICRA 1992
Robotics › Motion planning and robot control › robot control › motion control
acceleration control
0.011989
High performance motion control based on model following acceleration joint control method · ICRA 1989
Robotics › Motion planning and robot control › robot control › model-based control
model-following control
0.011989
High performance motion control based on model following acceleration joint control method · ICRA 1989
Robotics › Motion planning and robot control › robot control
robust control
0.011992
Force control without force sensor based on mixed sensitivity H ∞ design method · ICRA 1992
Robotics › Motion planning and robot control › robot control › actuator control
decentralized joint control
0.011989
High performance motion control based on model following acceleration joint control method · ICRA 1989

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

mixed-sensitivity h-infinity design · 0.0force observer · 0.0model-following acceleration control · 0.0continuous-path tracking · 0.0
YearPublicationVenuePosition
1992 Force control without force sensor based on mixed sensitivity H ∞ design method
abstract
The authors propose the force control of a robot manipulator without a force sensor. The proposed force control system is realized by both the acceleration controller and the force observer. Both systems are designed by the mixed-sensitivity H/sup infinity / design method. The acceleration controller regulates the actuator of the robot manipulator by the acceleration control command. The force observer estimates the reaction force from the target environment. The experimental results showed that the response of the proposed force control system without a force sensor coincided with that of the force control system with a force sensor.>
Kiyoshi Ohishi, Masaru Miyazaki, Yasumasa Ogino
ICRA4
1989 High performance motion control based on model following acceleration joint control method
abstract
A decentralized manipulator joint control is proposed, based on the model-following acceleration control system which is constructed using only the information from a rotary encoder. When each joint of the robot manipulator is regulated by the proposed acceleration control system, it is not affected by its dynamical nonlinearity and is controlled independently. A continuous-path tracking method for fast-motion control is also designed using the acceleration control. Experimental and numerical examples show that the proposed acceleration control method is valid for multi-degree-of-freedom robot manipulators.>
Kiyoshi Ohishi, Yasumasa Ogino, Masaaki Hotta
ICRA2