Demo Data from VLDB 2026 / reviewers in the wild / expert
Svante Augustsson
dblp:142/3122
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-authorArtificial intelligence and machine learning · 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.
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 77% Human-robot interaction · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › collaborative systems
collaborative environments |
0.2 | 1 | 2014 | Human and robot interaction based on safety zones in a shared work environment · HRI 2014 |
Human-robot interaction
industrial robot |
0.1 | 1 | 2014 | Human and robot interaction based on safety zones in a shared work environment · HRI 2014 |
Methods — techniques the papers use, named apart from their topics
safetyeye system · 0.2case study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Interacting with Industrial Robots: A Motion-based InterfaceabstractCollaborative industrial robot cells are becoming more and more interesting for industry through the new Industrie 4.0 initiative. In this paper we report early work on motion-based interaction with industrial robots. Human motion is tracked by a Kinect camera and translated into robot code. A group of tests subjects are asked to interact with the system and their activities are observed. Lessons learned on interaction challenges in a robot cell are reported. Linn Gustavsson Christiernin, Svante Augustsson |
AVI | 2 |
| 2014 | Human and robot interaction based on safety zones in a shared work environmentabstractIn this paper, early work on how to implement flexible safety zones is presented. In the case study an industrial robot cell emulates the environment at a wall construction site, with a robot performing nailing routines. Tests are performed with humans entering the safety zones of a SafetyEye system. The zone violation is detected, and new warning zones initiated. The robot retracts but continues its work tasks with reduced speed and within a safe distance of the human operator. Interaction is achieved through simultaneous work on the same work piece and the warning zones can be initiated and adjusted in a flexible way. Svante Augustsson, Linn Gustavsson Christiernin, Gunnar Bolmsjö |
HRI | 1 |