Demo Data from EDBT 2026 / reviewers in the wild / expert
V. D. Kostadinov
dblp:230/6995
· DBLP profile ↗
1ranked-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 · 1 · 1 first-authorSystems, architecture and hardware · 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
1 paper |
Motion planning and robot control · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › system identification › robot dynamics identification
robot parameter identification |
0.0 | 1 | 1991 | Geometric parameters estimation of robotic systems · ICRA 1991 |
Robotics › Motion planning and robot control
robot kinematics |
0.0 | 1 | 1991 | Geometric parameters estimation of robotic systems · ICRA 1991 |
Methods — techniques the papers use, named apart from their topics
jacobian matrix analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Geometric parameters estimation of robotic systemsabstractThe author describes a method for robot parameter estimation which allows the computational problems to be reduced and the area of the workspace where the Jacobian matrix is well defined to be established. Results from the estimation of the two-DOF (degree-of-freedom) SCARA-type robot are presented. It is shown that the proposed approach for robot parameter estimation enables one to increase the accuracy of robots by approximately 100 times.> V. D. Kostadinov |
ICRA | 1 |