Demo Data from VLDB 2026 / reviewers in the wild / expert
Nadine Miner
dblp:88/21
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › teleoperation
VR-based robot control |
0.0 | 1 | 1994 | An Interactive Virtual Reality Simulation System for Robot Control and Operator Training · ICRA 1994 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1994 | An Interactive Virtual Reality Simulation System for Robot Control and Operator Training · ICRA 1994 |
Human-robot interaction
task-oriented interaction |
0.0 | 1 | 1994 | An Interactive Virtual Reality Simulation System for Robot Control and Operator Training · ICRA 1994 |
Human-robot interaction
teleoperation |
0.0 | 1 | 1994 | An Interactive Virtual Reality Simulation System for Robot Control and Operator Training · ICRA 1994 |
Methods — techniques the papers use, named apart from their topics
virtual reality simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | An Interactive Virtual Reality Simulation System for Robot Control and Operator TrainingabstractRobotic systems are often very complex and difficult to operate, especially as multiple robots are integrated to accomplish difficult tasks. In addition, training the operators of these complex robotic systems is time-consuming and costly. In this paper a virtual reality based robotic control system is presented. The virtual reality system provides a means by which operators can operate, and be trained to operate, complex robotic systems in an intuitive, cost-effective way. Operator interaction with the robotic system is at a high, task-oriented, level. Continuous state monitoring prevents illegal robot actions and provides interactive feedback to the operator and real-time training for novice users.> Nadine Miner, Sharon A. Stansfield |
ICRA | 1 |