EDBT 2026 Demo / reviewers in the wild / expert
Caitlin Flowers
dblp:142/3165
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 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 · 91% Wearable and physiological sensing · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › teleoperation
gesture-based robot control |
0.2 | 1 | 2014 | Remote control of quadrotor teams, using hand gestures · HRI 2014 |
Human-robot interaction › multi-robot systems
multi-robot control |
0.2 | 1 | 2014 | Remote control of quadrotor teams, using hand gestures · HRI 2014 |
Human-robot interaction
teleoperation |
0.2 | 1 | 2014 | Remote control of quadrotor teams, using hand gestures · HRI 2014 |
Wearable and physiological sensing › electromyography
EMG-based gesture recognition |
0.1 | 1 | 2014 | Remote control of quadrotor teams, using hand gestures · HRI 2014 |
Methods — techniques the papers use, named apart from their topics
command language design · 0.2EMG signal processing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Remote control of quadrotor teams, using hand gesturesabstractThis paper addresses the human-centered control of a team (pack) of quadrotors. The control is remote, over the internet. Using simple telepresence tools (video in Skype, showing remote imagery from a ground camera, and from the quadrotors' own livestreaming cameras) the operator uses a command language, UAVL (standing for Unmanned Aerial Vehicle Language) to control quadrotors' behaviors. Seventeen hand gestures are used to express the commands; these are decoded by processing EMG signals collected with an array of EMG electrodes embedded in a BioSleeve mounted on the forearm. Extending prior work with an Unmanned Ground Vehicle Language (UGVL) used with ground robots, UAVL encodes commands used to control quadrotors, individually, or as a team, in direct teleoperated flight, or in preprogrammed flight patterns triggered by the commands. Adrian Stoica, Federico Salvioli, Caitlin Flowers |
HRI | 3 |