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Masaaki Hotta

dblp:181/3042 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1989
—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
Motion planning and robot control · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
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		 0.011989
High performance motion control based on model following acceleration joint control method · ICRA 1989
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

model-following acceleration control · 0.0continuous-path tracking · 0.0
YearPublicationVenuePosition
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
 ICRA3