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Seung-Mo Jeong

dblp:204/6740 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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 · 54% Motion planning and robot control · 46%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › dynamic modeling
actuator modeling
0.512021
Long-term Multiple Time-Constant Model of a Spring Roll Dielectric Elastomer Actuator under Dynamic Loading · ICRA 2021
Robotics › Robot manipulation › soft robotics › soft actuator
dielectric elastomer actuator
0.512021
Long-term Multiple Time-Constant Model of a Spring Roll Dielectric Elastomer Actuator under Dynamic Loading · ICRA 2021
Robotics › Robot manipulation
grasping, dexterous and mobile manipulation
0.512021
Long-term Multiple Time-Constant Model of a Spring Roll Dielectric Elastomer Actuator under Dynamic Loading · ICRA 2021
Robotics › Motion planning and robot control
robot control
0.512021
Long-term Multiple Time-Constant Model of a Spring Roll Dielectric Elastomer Actuator under Dynamic Loading · ICRA 2021
Robotics › Robot manipulation › actuation
artificial muscle
0.112021
Long-term Multiple Time-Constant Model of a Spring Roll Dielectric Elastomer Actuator under Dynamic Loading · ICRA 2021

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

rheological model · 0.5multiple time-constant viscoelastic model · 0.5
YearPublicationVenuePosition
2021 Long-term Multiple Time-Constant Model of a Spring Roll Dielectric Elastomer Actuator under Dynamic Loading
abstract
Dielectric elastomers are electro-mechanically coupled transducers that display a nonlinear viscoelastic stress-strain relationship. Modeling and controlling such nonlinear materials and actuators are of great challenge. A spring roll dielectric elastomer actuator is a linear actuator composed of a spring and sheets of wrapped dielectric elastomers. Since its shape and actuation performance resemble a human muscle, its application as an artificial muscle is investigated. To verify its applicability, the actuator’s controllability and time-dependent actuation behavior are examined. In this paper, we derive a multiple time-constant model specifying the response of a long-term dynamic loading of the spring roll dielectric elastomer actuator. Our modeling approach is based on multiple viscoelastic elements, having different time responses, superposed into one rheological model. In addition to viscoelasticity, the model includes the effects of the spring core, external mechanical load, the internal stress of the elastomer, and the applied dynamic voltage signal, so that it can be applied in various working conditions. Experiments and simulations are conducted to confirm the applicability and accuracy of the proposed long-term multiple time-constant model.
Seung-Mo Jeong, Ki-Uk Kyung
ICRA1