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Chao-Kuang Chen

dblp:27/7288 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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 · 67% Robot manipulation · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
manipulator modeling
0.011988
Symbolic derivation of dynamic equations of motion for robot manipulators using Piogram symbolic method · IEEE J. Robotics Autom. 1988
Robotics › Motion planning and robot control
robot control
0.011988
Symbolic derivation of dynamic equations of motion for robot manipulators using Piogram symbolic method · IEEE J. Robotics Autom. 1988
Robotics › Motion planning and robot control
robot dynamics
0.011988
Symbolic derivation of dynamic equations of motion for robot manipulators using Piogram symbolic method · IEEE J. Robotics Autom. 1988

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

piogram symbolic method · 0.0newton-euler formalism · 0.0
YearPublicationVenuePosition
1988 Symbolic derivation of dynamic equations of motion for robot manipulators using Piogram symbolic method
abstract
An algorithm for both manual and automatic derivation of dynamic models of robotic manipulators using the Piogram symbolic method is presented. A program is also developed based on the Newton-Euler formalism by the Piogram symbolic representation method, which is applicable to manipulators of any degree of freedom. Two examples are given to illustrate how to use this program for dynamic equation generation. It is shown that the method has the advantage of simplifying the manipulation process, and thus a large amount of memory space and computing time when the method is implemented in a computer program.>
Pi-Ying Cheng, Ching-I Weng, Chao-Kuang Chen
IEEE J. Robotics Autom.3