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Chen-Yuan Kuo

dblp:37/5856 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1 · 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
2 papers
Motion planning and robot control · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.011991
Robust position control of robotic manipulator in Cartesian coordinates · IEEE Trans. Robotics Autom. 1991
Robotics › Motion planning and robot control › robot control › robust control
robust position control
0.011991
Robust position control of robotic manipulator in Cartesian coordinates · IEEE Trans. Robotics Autom. 1991
Robotics › Motion planning and robot control
manipulator control
0.011988
Nonlinear robust control of robot manipulators · ICRA 1988
Robotics › Motion planning and robot control › robot control › task-space robot control
cartesian space control
0.011991
Robust position control of robotic manipulator in Cartesian coordinates · IEEE Trans. Robotics Autom. 1991
Robotics › Motion planning and robot control › robot control › compliant motion control
hybrid position/force control
0.011988
Nonlinear robust control of robot manipulators · ICRA 1988

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

robust servomechanism theory · 0.0nonlinear control · 0.0nonlinear decoupling control · 0.0
YearPublicationVenuePosition
1991 Robust position control of robotic manipulator in Cartesian coordinates
abstract
The authors propose a nonlinear robust control scheme for robotic motion control in Cartesian coordinates. The control input of this scheme consists of nonlinear and linear parts. The nonlinear part decouples and stabilizes robot dynamics in Cartesian coordinates. The linear part utilizes the robust servomechanism theory to suppress effects of modeling error or unknown external disturbance. This scheme was used in the control of a two-joint SCARA-type robot, and simulation results demonstrate that it can achieve fast and precise tracking control in Cartesian coordinates, even in the presence of severe modeling errors.>
Chen-Yuan Kuo, Shay-Ping T. Wang
IEEE Trans. Robotics Autom.1
1988 Nonlinear robust control of robot manipulators
abstract
The authors propose a nonlinear robust hybrid control scheme for robot motion control. The control input consists of a nonlinear and a linear part. The nonlinear input decouples a robot dynamics and obtains a set of position and force equations in the hand or Cartesian coordinate. The linear part applies the robust servomechanism theory to suppress position or force tracking error due to uncertainties. This nonlinear robust hybrid control scheme is applied to a two-joint SCARA-type robot, and simulation results demonstrated excellent robustness properties and satisfactory hybrid control, even under severe modeling errors.>
Shay-Ping T. Wang, Chen-Yuan Kuo
ICRA2