Demo Data from VLDB 2026 / reviewers in the wild / expert
Andreas Brunschweiler
dblp:79/7734
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Haptics and multimodal interaction · 77% Games and playful interaction · 23% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › immersive display
CAVE |
0.1 | 1 | 2009 | A versatile wire robot concept as a haptic interface for sport simulation · ICRA 2009 |
Virtual and augmented reality
immersive interaction |
0.1 | 1 | 2009 | A versatile wire robot concept as a haptic interface for sport simulation · ICRA 2009 |
Haptics and multimodal interaction
haptic interface |
0.1 | 1 | 2009 | A versatile wire robot concept as a haptic interface for sport simulation · ICRA 2009 |
Methods — techniques the papers use, named apart from their topics
motion tracking · 0.2collision detection · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | A versatile wire robot concept as a haptic interface for sport simulationabstractThis paper presents the design of a new user-cooperative rope robot. This robot serves as a large-scale haptic interface in a multi-modal Cave environment used for sport simulation. In contrast to current rope robots, the configuration of the presented robot is adaptable to different simulation tasks what makes the robot more versatile. However, this adaptability and the high dynamics in sports lead to challenging requirements and specific design criteria of the hardware components. We present the requirements on the single robot components as well as the design of the entire setup optimized in terms of user-cooperativity and versatility. The setup includes sensors to measure the relevant parameters for user-cooperative control, i.e. position with a high resolution and the rope forces. Furthermore, an algorithm is introduced, which calculates the distance between the single ropes and the user in order to avoid collisions between the ropes and the user. Single points on the user's body are, therefore, tracked with a motion tracking system; the user's single body parts are then represented by geometrical objects whose distances to the ropes are calculated. The algorithm is programmed in such way that the collision detection runs in real-time. Both, the hardware and the algorithm, were evaluated experimentally in two applications, a rowing simulator and a tennis application. The hardware concept combined with the distance calculation allows the use of new kinematic concepts and expands the spectrum of realizable movement tasks that can be implemented into the Cave environment. Joachim von Zitzewitz, Georg Rauter, Reto Steiner, Andreas Brunschweiler, Robert Riener |
ICRA | 4 |