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Jaehoon Sim

dblp:173/7528 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
Motion planning and robot control · 91% Legged, aerial and field robots · 9%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
compliant motion control
0.312018
Disturbance Observer Based Linear Feedback Controller for Compliant Motion of Humanoid Robot · ICRA 2018
Robotics › Motion planning and robot control › observer design
disturbance observer
0.312018
Disturbance Observer Based Linear Feedback Controller for Compliant Motion of Humanoid Robot · ICRA 2018
Robotics › Motion planning and robot control
robot control
0.312018
Disturbance Observer Based Linear Feedback Controller for Compliant Motion of Humanoid Robot · ICRA 2018
Robotics › Legged, aerial and field robots › humanoid robot
humanoid walking
0.112018
Disturbance Observer Based Linear Feedback Controller for Compliant Motion of Humanoid Robot · ICRA 2018

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

linear feedback control · 0.3gravity compensation · 0.3disturbance observer · 0.3
YearPublicationVenuePosition
2018 Disturbance Observer Based Linear Feedback Controller for Compliant Motion of Humanoid Robot
abstract
Actuator modules of humanoid robots have relatively higher joint elasticity than those of industrial robots. Such joint elasticity could lead to negative effects on both the tracking performance and stability for walking. Especially, unstable contact between the foot and ground caused by joint elasticity is a critical problem, as it decreases the stability of position-controlled humanoid robots. To address this problem, this paper introduces a novel control scheme for position-controlled humanoid robots by which we can obtain not only enhance compliance capability for unknown contact but also suppress the vibration caused by joint elasticity. To estimate the disturbance caused by external forces and modeling errors between the actual system and nominal system, a disturbance observer based estimator is designed at each joint. Furthermore, a linear feedback controller for the flexible joint model and a gravity compensator is considered to reduce vibration and deflection due to the joint elasticity. The proposed control scheme was implemented on our humanoid robot, DYROS-JET, and its performance was demonstrated by improved stability during dynamic walking and stepping on objects.
Mingon Kim, Jaehoon Sim, Jaeheung Park
ICRA4