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Hiekeun Ko

dblp:181/3039 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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
Motion planning and robot control · 61% Robot manipulation · 39%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot actuation
antagonistic actuation
0.011990
High stiffness and low slew drag in an antagonistic control system · ICRA 1990
Robotics › Motion planning and robot control › robot control
force control
0.011990
High stiffness and low slew drag in an antagonistic control system · ICRA 1990
Robotics › Motion planning and robot control › robot control › impedance control
stiffness control
0.011990
High stiffness and low slew drag in an antagonistic control system · ICRA 1990

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

transfer function analysis · 0.0force compensation · 0.0
YearPublicationVenuePosition
1990 High stiffness and low slew drag in an antagonistic control system
abstract
An antagonistic controller which is to be used in tendon-driven master/slave end-effectors is described. High stiffness was achieved by developing a control law which eliminates one local force loop in the flexion/extension control loops. One force loop maintains tendon cocontraction, while the other force loop is eliminated when the tendon tension is greater than cocontraction. In order to minimize the input impedance or slew drag caused by inertia and intrinsic damping of the system, force compensations were implemented according to the characteristics of the actuators. These techniques have been implemented experimentally on both electromechanical and electrohydraulic systems. A computer analysis of an electromechanical antagonistic control system is included. Servostiffness equations are derived from the transfer function of the electromechanical system.>
Hiekeun Ko, Clark C. Davis, Edwin K. Iversen, Stephen C. Jacobsen
ICRA1
1989 Antagonistic control of a tendon driven manipulator
abstract
Two antagonistic control algorithms are described. These algorithms are used to control manipulator links which are antagonistically driven by two actuators via tendons. They have been simulated and experimentally shown to produce better active and passive performance for an electric test system than control algorithms developed earlier. The algorithms use both positive and negative (push and pull) commands to be given to the actuators. Previous systems generated only pull commands, ensuring that tendons would not go slack and give rise to backlash and other problems. The proposed controllers allow push commands to the actuators but still do not allow tendons to go slack. Each actuator, in addition to being fed back its respective tendon force, is fed back both positive and negative manipulator joint torques. This feature allows both actuators to simultaneously respond to torque errors.>
Stephen C. Jacobsen, Hiekeun Ko, Edwin K. Iversen, Clark C. Davis
ICRA2