Demo Data from EDBT 2026 / reviewers in the wild / expert
Gabriel Charette
dblp:08/8368
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 50% User interface design and tools · 50% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 50% Legged, aerial and field robots · 50% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › robot programming
robot programming interfaces |
0.1 | 1 | 2010 | Graphical state-space programmability as a natural interface for robotic control · ICRA 2010 |
Robotics › Legged, aerial and field robots › underwater robotics
autonomous underwater vehicle |
0.0 | 1 | 2010 | Graphical state-space programmability as a natural interface for robotic control · ICRA 2010 |
Robotics › Motion planning and robot control
mobile robot control |
0.0 | 1 | 2010 | Graphical state-space programmability as a natural interface for robotic control · ICRA 2010 |
Methods — techniques the papers use, named apart from their topics
user interaction study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Graphical state-space programmability as a natural interface for robotic controlabstractWe present an interface for controlling mobile robots that combines aspects of graphical trajectory specification and state-based programming. This work is motivated by common tasks executed by our underwater vehicles, although we illustrate a mode of interaction that is applicable to mobile robotics in general. The key aspect of our approach is to provide an intuitive linkage between the graphical visualization of regions of interest in the environment, and activities relevant to these regions. In addition to introducing this novel programming paradigm, we also describe the associated system architecture developed on-board our amphibious robot. We then present a user interaction study that illustrates the benefits in usability of our graphical interface, compared to conventionally established programming techniques. Junaed Sattar, Anqi Xu 0003, Gregory Dudek, Gabriel Charette |
ICRA | 4 |