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Sang Yul Yang

dblp:189/5820 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-4862-9233ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 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 · 77% Legged, aerial and field robots · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot design › robot joint design
robotic joint mechanism
0.312017
Biomimetic robotic joint mechanism driven by soft linear actuators · ICRA 2017
Robotics › Legged, aerial and field robots
bio-inspired robot
0.112017
Biomimetic robotic joint mechanism driven by soft linear actuators · ICRA 2017

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

shape memory alloy · 0.33d printing · 0.3
YearPublicationVenuePosition
2018 Impedance Control of a High Performance Twisted-Coiled Polymer Actuator
abstract
This paper presents a 1-link robotic arm that is antagonistically driven by one pair of a high performance super-coiled polymer actuators with an embedded controller. The actuator which is made from Spandex and nylon fibers is low-cost, easy to fabricate and light-weight. Moreover, it can generate large displacement and provide Joule heating capability. The main contribution of the paper is the model-based impedance controller, which enables position control of the antagonistic joint with variable stiffness and damping. The impedance control is a torque-based law, which in turn depends on a proposed backstepping control law to control the force of each actuator. The control system is proved to be stable using dissipativity stability theory and verified through experiments. Experimental results show that our system can track the angular position reference with the worst position error of 0.43deg and root-mean squared error of 0.16deg at steady state for sinusoidal waveform tracking (with the frequency of 0.1Hz), and the worst position error of 0.2deg for set-point regulation.
Tuan Anh Luong 0001, Kihyeon Kim, Jae Hyeong Park, Youngeun Kim, Sang Yul Yang, Kyeong Ho Cho, Jachoon Koo, Hyoukryeol Choi, Hyungpil Moon
IROS6
2018 Soft Fabric Actuator for Robotic Applications
abstract
This paper presents a fabric actuator consisting of ordinary polymer fibers, conductive fibers, and twisted and coiled soft actuators (TCAs). Previous studies have developed a Spandex TCA (STCA) that is driven at a lower temperature than the conventional Nylon TCA and exhibits greater actuation strain. However, no method to drive STCAs via electrical joule-heating has been developed yet. The fabric actuator presented in this paper offers a solution to this problem by employing an STCA multiple fabrication method, a continuous fabrication method, bundling technology, and weaving technology. Two types of samples (cylindrical and planar) are fabricated and their performances are evaluated experimentally. From the actuation test according to the loads, the maximum contraction strain of 34.3% is measured. The repeatability is also verified through 200 cycles of actuation. Using a linearized model, the dynamic performance of the fabric actuator is predicted and compared with experimental results. An actual human arm size mannequin is driven by applying the fabric actuator, and angle control can be achieved with an encoder mounted on the joint. In addition, fabric actuator is weaved to sweater showing the possibility of wearable assistive robot.
Sang Yul Yang, Kyeong Ho Cho, Youngeun Kim, Kihyeon Kim, Jae Hyeong Park, Hosang Jung, Jeong U. Ko, Hyungpil Moon, Jachoon Koo, Hugo Rodrigue, Ji Won Suk, Jaedo Nam, Hyoukryeol Choi
IROS1
2017 Biomimetic robotic joint mechanism driven by soft linear actuators
abstract
From being soft, flexible and producing movement by contracting, soft linear actuators are said to have muscle-like properties. Due to these similarities, they are often called “artificial muscle actuator.” However, the strain produced by these actuators is generally insufficient to be utilized in a large range of applications. Some solutions have been developed, but they sacrifice force to increase the displacement. Meanwhile, the force produced by skeletal muscles increases as it contracts due to its working principle, which is based on the “sliding filament mechanism.” The limitations of soft linear actuators could be overcome by mimicking the contraction process of skeletal muscles. Two types of muscle-inspired robotic joint mechanisms based on the sliding filament mechanism principle are proposed in this work. The mechanisms can be operated using any type of soft linear actuators as well as traditional actuators or motors, and this work realizes the implementation using shape memory alloy wires and 3D printed mechanical parts. The feasibility of both proposed mechanisms, and their capabilities were experimentally verified.
Kyeong Ho Cho, Min-Geun Song, Hosang Jung, Sang Yul Yang, Hugo Rodrigue, Hyungpil Moon, Jachoon Koo, Hyoukryeol Choi
ICRA4