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Hideaki Kurata

dblp:98/1158 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—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.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 44% Human-robot interaction · 44% Human-AI interaction · 13%
Artificial intelligence
1 paper
Motion planning and robot control · 50% Planning, search and constraint satisfaction · 50%

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

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology
assistive technology		 0.012002
Intelligent Interface and Control of an Exoskeletal Robot for Human Shoulder Motion Support Considering Subject's Arm Posture · ICRA 2002
Human-robot interaction › wearable robot
exoskeleton		 0.012002
Intelligent Interface and Control of an Exoskeletal Robot for Human Shoulder Motion Support Considering Subject's Arm Posture · ICRA 2002
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
neuro-fuzzy control		 0.012002
Intelligent Interface and Control of an Exoskeletal Robot for Human Shoulder Motion Support Considering Subject's Arm Posture · ICRA 2002
Robotics › Motion planning and robot control
robot control		 0.012002
Intelligent Interface and Control of an Exoskeletal Robot for Human Shoulder Motion Support Considering Subject's Arm Posture · ICRA 2002
Human-AI interaction
intelligent user interfaces		 0.012002
Intelligent Interface and Control of an Exoskeletal Robot for Human Shoulder Motion Support Considering Subject's Arm Posture · ICRA 2002

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

neural network · 0.1fuzzy control · 0.1
YearPublicationVenuePosition
2002 Intelligent Interface and Control of an Exoskeletal Robot for Human Shoulder Motion Support Considering Subject's Arm Posture
abstract
We have been developing exoskeletal robots in order to support the motion of physically weak persons such as elderly persons or handicapped persons. In our previous research, the 2-DOF exoskeletal robots for shoulder motion support and its control method have been developed since the shoulder motion is especially important for people to take care of themselves in everyday life. In this paper, we propose intelligent interface, which realizes the fuzzy-neuro controller adjustment in accordance with the human subject's arm posture, in order to effectively control the 2-DOF exoskeletal robot for shoulder motion support. The intelligent interface is realized by applying a neural network. The effectiveness of the proposed intelligent interface of the exoskeletal robot has been evaluated by experiment.
Kazuo Kiguchi, Koya Iwami, Makoto Yasuda, Hideaki Kurata, Keigo Watanabe, Toshio Fukuda
 ICRA4