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Sohee John Yoon

dblp:229/0023 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0003-0774-542XORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 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
2 papers
Robot manipulation · 100%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
dexterous manipulation
0.612022
Elongatable Gripper Fingers With Integrated Stretchable Tactile Sensors for Underactuated Grasping and Dexterous Manipulation · IEEE Trans. Robotics 2022
Robotics › Robot manipulation
grasping
0.612022
Elongatable Gripper Fingers With Integrated Stretchable Tactile Sensors for Underactuated Grasping and Dexterous Manipulation · IEEE Trans. Robotics 2022
Robotics › Robot manipulation
tactile sensing
0.612022
Elongatable Gripper Fingers With Integrated Stretchable Tactile Sensors for Underactuated Grasping and Dexterous Manipulation · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › grasping
underactuated grasping
0.612022
Elongatable Gripper Fingers With Integrated Stretchable Tactile Sensors for Underactuated Grasping and Dexterous Manipulation · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › actuation
artificial muscle
0.412020
Flat Inflatable Artificial Muscles With Large Stroke and Adjustable Force- Length Relations · IEEE Trans. Robotics 2020
Robotics › Robot manipulation › actuator design
soft actuator design
0.412020
Flat Inflatable Artificial Muscles With Large Stroke and Adjustable Force- Length Relations · IEEE Trans. Robotics 2020
Wearable and physiological sensing › motion sensing
proprioceptive sensing
0.112020
Flat Inflatable Artificial Muscles With Large Stroke and Adjustable Force- Length Relations · IEEE Trans. Robotics 2020

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

principle of virtual work · 0.9closed-loop control · 0.9capacitive sensing · 0.9multimodal control · 0.6force feedback control · 0.6
YearPublicationVenuePosition
2022 Elongatable Gripper Fingers With Integrated Stretchable Tactile Sensors for Underactuated Grasping and Dexterous Manipulation
abstract
The ability to grasp a wider range of objects in size and shape directly relates to the performance of robotic grippers. Adapting to complex geometries of objects requires large degrees of freedom to allow complex configurations. However, complexity in controlling many individual joints leads to introduction of underactuated mechanisms, in which traditional finger designs composed of revolute joints allow only flexion/extension motions. In this article, we propose a length-adjustable linkage mechanism in the underactuated finger controlled by an antagonistic tendon pair. The resulting gripper can elongate the fingers for an increased task space or shorten them for a finer spatial resolution. For tactile sensing, hyperelastic soft sensors are used to stretch with finger elongation. Contact pressures measured by the soft sensors are used in force-feedback control for which either the joint angles or the link lengths are adjusted. Lastly, a multimodal control scheme that combines elongation and flexion modes is demonstrated with tasks of dexterous manipulation.
Sohee John Yoon, Minsik Choi, Bomin Jeong, Yong-Lae Park
IEEE Trans. Robotics1
2020 Flat Inflatable Artificial Muscles With Large Stroke and Adjustable Force- Length Relations
abstract
The performance of inflatable artificial muscles depends greatly on their designs and the output shapes resulting from the geometric constraints. Although there have been attempts to apply physical constraints on the air chamber to achieve larger stroke lengths and increased force-length ratios, it has been difficult to achieve the above two goals while maintaining a compact form factor. In this article, we propose flat inflatable artificial muscles that have large contraction ratios (up to 0.5) and show increased forces in wider ranges of contractions by adding an internal geometric constraint. Addition of an external constraint, such as rigid plates, further increased the maximum contraction ratio (up to 0.553) through a synergistic effect. We show that various force-length relations can be achieved by adjusting the height of the plates. Theoretical models based on the geometry and the principle of virtual work are experimentally validated using actuator prototypes made of heat-sealable plastic sheets. Also, compact capacitive sensors are integrated in design for proprioceptive feedback of the proposed actuators, and their feasibility and effectiveness are experimentally evaluated through closed-loop control.
Junghan Kwon, Sohee John Yoon, Yong-Lae Park
IEEE Trans. Robotics2