Demo Data from EDBT 2026 / reviewers in the wild / expert
C. Ming Wang
dblp:184/7934
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—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 |
Robot navigation and mapping · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
localization |
0.0 | 1 | 1988 | Location estimation and uncertainty analysis for mobile robots · ICRA 1988 |
Robotics › Robot navigation and mapping › localization
position estimation |
0.0 | 1 | 1988 | Location estimation and uncertainty analysis for mobile robots · ICRA 1988 |
Robotics › Robot navigation and mapping › localization
dead reckoning |
0.0 | 1 | 1988 | Location estimation and uncertainty analysis for mobile robots · ICRA 1988 |
Methods — techniques the papers use, named apart from their topics
error propagation · 0.0covariance analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Location estimation and uncertainty analysis for mobile robotsabstractA motion controller for the autonomous mobile vehicle commands the robot's drive mechanism to keep the robot near its desired path at all times. In order for the controller to behave properly, the controller must know the robot's position at any given time. The controller uses the information provided by the optical encoders attached to the wheels to determine vehicle position. The author analyzes the effect of measurement errors, wheel slippage, and noise on the accuracy of the estimated vehicle position obtained in this manner. Specifically the location estimator and its uncertainty covariance matrix are derived.> C. Ming Wang |
ICRA | 1 |