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Yohei Ariga

dblp:116/6417 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-author

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 · 54% Robot manipulation · 46%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › stabilization control
equilibrium point control
0.112012
Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles · ICRA 2012
Robotics › Robot manipulation › actuation
pneumatic artificial muscle
0.112012
Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles · ICRA 2012
Robotics › Robot manipulation
robot actuation
0.112012
Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles · ICRA 2012
Robotics › Motion planning and robot control
robot control
0.112012
Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles · ICRA 2012
Robotics › Motion planning and robot control › robot control › impedance control
stiffness control
0.012012
Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles · ICRA 2012

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

equilibrium-point hypothesis · 0.1agonist-antagonist ratio · 0.1
YearPublicationVenuePosition
2012 Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles
abstract
This paper presents a novel method for controlling a single-joint robot arm driven by two pneumatic artificial muscles (PAMs). We introduce the concepts of the agonist-antagonist muscle-pairs ratio (A-A ratio) and the agonist-antagonist muscle-pairs activity (A-A activity), and demonstrate that our concepts enable separate linear control of the equilibrium joint angle and joint stiffness. We also discuss our approach in comparison with the equilibrium-point (EP) hypothesis.
Yohei Ariga, Hang T. T. Pham, Mitsunori Uemura, Hiroaki Hirai, Fumio Miyazaki
ICRA1
2012 Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles: II. Application to EMG-based human-machine interface for an elbow-joint system
abstract
This paper presents an electromyographic-based human-machine interface for the agonist-antagonist system with two pairs of pneumatic artificial muscles (PAMs) that replicates the human elbow-joint system. We introduce the novel concepts of agonist-antagonist muscle-pair ratio (A-A ratio) and agonist-antagonist muscle-pair activity (A-A activity) to link the human muscle system to the PAM system, and we propose a linear control method translating the equilibrium point of human muscle system into that of PAM system. The human-robot experiment demonstrates the validity of the proposed method.
Yohei Ariga, Daisuke Maeda, Hang T. T. Pham, Mitsunori Uemura, Hiroaki Hirai, Fumio Miyazaki
IROS1