Demo Data from EDBT 2026 / reviewers in the wild / expert
J. D. Chang
dblp:191/1138
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1984
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 50% Robot manipulation · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › robot simulation
manipulator simulation |
0.0 | 1 | 1984 | Simulation of a cartesian robot arm · ICRA 1984 |
Robotics › Motion planning and robot control › robot dynamics › dynamic simulation
robot dynamics simulation |
0.0 | 1 | 1984 | Simulation of a cartesian robot arm · ICRA 1984 |
Robotics › Robot manipulation › industrial robot
cartesian robot arm |
0.0 | 1 | 1984 | Simulation of a cartesian robot arm · ICRA 1984 |
Robotics › Motion planning and robot control › manipulator control
robot arm control |
0.0 | 1 | 1984 | Simulation of a cartesian robot arm · ICRA 1984 |
Methods — techniques the papers use, named apart from their topics
runge-kutta integration · 0.0nonlinear differential equation simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1984 | Simulation of a cartesian robot armabstractThis paper describes a program for the simulation of the control logic and system dynamics of a robot arm having three Cartesian axes of motion plus two rotational axes of the wrist. The program was written in the C language and includes a fourth-order Runge-Kutta algorithm for the integration of the nonlinear differential equations for the individual axes. Validation of the program operation and evaluation of the many system parameters are also discussed. The simulated motion is compared and adjusted to fit experimental data on the actual arm motion. The results indicate that the simulation can be a useful and safe means for off-line testing of system changes and new control schemes. Winston L. Nelson, J. D. Chang |
ICRA | 2 |