Demo Data from VLDB 2026 / reviewers in the wild / expert
Gregory R. Scholz
dblp:91/7946
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 manipulation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › object perception
object identification |
0.0 | 1 | 2004 | Profile sensing with an actuated whisker · IEEE Trans. Robotics Autom. 2004 |
Robotics › Robot manipulation
tactile sensing |
0.0 | 1 | 2004 | Profile sensing with an actuated whisker · IEEE Trans. Robotics Autom. 2004 |
Robotics › Robot manipulation › tactile sensing › contact sensing
whisker sensing |
0.0 | 1 | 2004 | Profile sensing with an actuated whisker · IEEE Trans. Robotics Autom. 2004 |
Methods — techniques the papers use, named apart from their topics
hub load cell sensing · 0.0elastica equation integration · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Profile sensing with an actuated whiskerabstractObstacle avoidance and object identification are important tasks for robots in unstructured environments. This paper develops an actuated whisker that determines contacted object profiles using a hub load cell. The shape calculation algorithm numerically integrates the elastica equations from the measured hub angle, displacement, forces, and torque until the bending moment vanishes, indicating the contact point. Sweeping the whisker across the object generates a locus of contact points that can be used for object identification. Experimental results demonstrate the ability to identify and differentiate square and curved objects at various orientations. Gregory R. Scholz, Christopher D. Rahn |
IEEE Trans. Robotics Autom. | 1 |