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Bong-Soo Kang

dblp:37/5343 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 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
Robot manipulation · 75% Motion planning and robot control · 25%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
actuator design
0.112009
Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation · ICRA 2009
Robotics › Robot manipulation › robot actuation
antagonistic actuation
0.112009
Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation · ICRA 2009
Robotics › Robot manipulation › actuation
pneumatic artificial muscle
0.112009
Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation · ICRA 2009
Robotics › Motion planning and robot control
robot control
0.112009
Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation · ICRA 2009

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

frequency response test · 0.1dynamic modeling · 0.1
YearPublicationVenuePosition
2009 Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation
abstract
This paper presents the dynamic modeling of Mckibben pneumatic artificial muscles. The air flow model of a valve orifice and the air volume model of a pneumatic muscle are incorporated into the proposed dynamic model to estimate precisely the pressure variance of a pneumatic muscle when Mckibben muscles are in inflating and deflating. Coefficient parameters of the proposed model are determined optimally through well-coordinated experiments. Frequency response test is performed on an antagonistic structure consisting of Mckibben muscles manufactured in our laboratory and a pneumatic circuit with fast pneumatic control valves. Comparing with experimental results, simulations revealed that the proposed model gave good performance in estimating motions of the antagonistic actuation as well as the pressure variance of the Mckibben muscles.
Bong-Soo Kang, Curt S. Kothera, Benjamin K. S. Woods, Norman M. Wereley
ICRA1