Demo Data from EDBT 2026 / reviewers in the wild / expert
Ching-I Weng
dblp:139/6071
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
manipulator modeling |
0.0 | 1 | 1988 | 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 |
0.0 | 1 | 1988 | 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 |
0.0 | 1 | 1988 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Symbolic derivation of dynamic equations of motion for robot manipulators using Piogram symbolic methodabstractAn 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. | 2 |