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Ho-Chin Jar

dblp:67/4784 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 3

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 · 87% Robot manipulation · 13%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
parallel robot control
0.012004
Modeling and Control for a Gough-Stewart Platform CNC Machine · ICRA 2004
Robotics › Motion planning and robot control
robot control
0.012004
Modeling and Control for a Gough-Stewart Platform CNC Machine · ICRA 2004
Robotics › Robot manipulation
manipulator modeling
0.012004
Modeling and Control for a Gough-Stewart Platform CNC Machine · ICRA 2004
YearPublicationVenuePosition
2006 Design and Control of a Nano-precision Cartesian Platform
abstract
In this article, a Cartesian coordinate nano-scale positioning platform driven by stack-type piezoelectric actuator associated with flexure hinge mechanism is developed. Structural design and analysis, system identification, and feedforward controller design to deal with the hysteresis effect, as well as and the feedback PID controller designed by use of Ziegler-Nichols method and the genetic algorithm are included. The developed Cartesian platform is able to achieve the target within 10 nm in positioning at the stroke of 19 mum
Yung Ting, Chun-Chung Li, Ho-Chin Jar, Chang-Wei Chiang
IROS3
2005 Error compensation and feedforward controller design for a 6-dof micro-positioning platform
abstract
In this article, hysteresis controller design and static error compensation method for a 6-dof micro-positioning platform driven by piezoelectric actuator is studied. The nonlinear hysteresis effect of the piezoelectric actuator is analyzed by means of Preisach model. Its inverse model is used as the feedforward controller. Error compensation method is designed to compensate the manufacture error and assembly error by use of the developed 3-points-3-axes measurement method. From practical experiment, the proposed method makes improvement on the accuracy of positioning.
Yung Ting, Ho-Chin Jar, Chun-Chung Li
IROS2
2004 Modeling and Control for a Gough-Stewart Platform CNC Machine
Yung Ting, Yu-Shin Chen, Ho-Chin Jar, Yuan Kang
ICRA3