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Jung-San Cho

dblp:117/2032 · also Jungsan Cho · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-4548-880XORCID · corroborated

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 1 · 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 · 52% Legged, aerial and field robots · 44% Motion planning and robot control · 4%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
mobile manipulation
0.412020
Design and Implementation of Hydraulic-Cable driven Manipulator for Disaster Response Operation · ICRA 2020
Robotics › Legged, aerial and field robots
legged robots
0.112012
Motion control of a quadruped robot in unknown rough terrains using 3D spring damper leg model · ICRA 2012
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
quadruped locomotion
0.112012
Motion control of a quadruped robot in unknown rough terrains using 3D spring damper leg model · ICRA 2012
Robotics › Legged, aerial and field robots
rough terrain locomotion
0.112012
Motion control of a quadruped robot in unknown rough terrains using 3D spring damper leg model · ICRA 2012
Robotics › Robot manipulation › robot design › manipulator design
hydraulic manipulator
0.112020
Design and Implementation of Hydraulic-Cable driven Manipulator for Disaster Response Operation · ICRA 2020
Robotics › Legged, aerial and field robots › locomotion
dynamic locomotion control
0.012012
Motion control of a quadruped robot in unknown rough terrains using 3D spring damper leg model · ICRA 2012
Robotics › Motion planning and robot control
robot control
0.012012
Motion control of a quadruped robot in unknown rough terrains using 3D spring damper leg model · ICRA 2012

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

hydraulic-cable driven actuation · 0.43DOF manipulator design · 0.4stiffness control · 0.1spring-damper model · 0.1
YearPublicationVenuePosition
2026 Knee Angle-Based Lower-Limb Locomotion Detection Algorithm With Sensor-Minimal Design
Hyun Jun Cho, Sungwoon Yoon, Jun-Yong Song, Hyoukryeol Choi, Jung-San Cho
IEEE Trans Autom. Sci. Eng.6
2020 Design and Implementation of Hydraulic-Cable driven Manipulator for Disaster Response Operation
abstract
This paper introduces a new hydraulic manipulator with hydraulic-cable driven actuation (HCA) modules for disaster response mobile-manipulation. The hydraulic actuation system has the potential to apply disaster-response application, because it has a higher power-to-weight ratio and robustness to external impacts than electric motor actuation. However, using a conventional hydraulic manipulators is inappropriate because the revolute joint uses conventional actuators, such as linear cylinders and vanes, which have some limitations: 1) linear cylinder: small range of motion, 2) vane: low torque-toweight ratio. To overcome these limitations, we propose new 3DOF manipulator which has a larger workspace than the conventional hydraulic manipulator and comparable payloadto-weight ratio. To this end, we use hydraulic-cable driven actuation modules from our previous research. Experimental results verify the basic performance of the actuator modules and manipulator and their capability to perform various disaster response tasks.
Jungyeong Kim, Jaehong Seo, Sangshin Park, Jung-San Cho
ICRA5
2012 Motion control of a quadruped robot in unknown rough terrains using 3D spring damper leg model
abstract
This paper presents a simple method to control the motion of a quadruped robot in unknown rough terrains using a full dynamic model. First, using typical stiffness control method, the four legs' behavior is approximated to 3D spring damper systems. By this way, we can easily derive the dynamic equations of motion in Cartesian space. Based on these equations, a control strategy is proposed to obtain the asymptotical stability of the system. In addition, a reflex signal is also introduced to control the rotational disturbance of the robot body. Finally, dynamic simulation of a quadruped walking robot is performed on several unknown rough terrains to verify the proposed method.
Duc Trong Tran, Igmo Koo, Hyungpil Moon, Jung-San Cho, Sangdeok Park, Hyoukryeol Choi
ICRA4