Demo Data from SIGIR 2026 / reviewers in the wild / expert
Valerio Gabbani
dblp:10/567
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—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.
| Artificial intelligence
1 paper |
Robot navigation and mapping · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
obstacle avoidance |
0.0 | 1 | 1995 | Multielement Ultrasonic System for Robotic Navigation · ICRA 1995 |
Robotics › Robot navigation and mapping › acoustic sensing
ultrasonic sensing |
0.0 | 1 | 1995 | Multielement Ultrasonic System for Robotic Navigation · ICRA 1995 |
Methods — techniques the papers use, named apart from their topics
neural network · 0.0digital signal processing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Multielement Ultrasonic System for Robotic NavigationabstractIn this paper an ultrasonic multisensor acquisition and processing system with up to 32 air-ultrasound transducers in the frequency range of 40-200 kHz is presented. The system was developed for an obstacle avoidance applications in the robotics field. The acquisition and processing capability of the equipment (based on the digital signal processor TMS320C25 and can sample up to five parallel channels) allows the robot to perform tasks of different difficulty levels, from target-ranging to pattern recognition. As an example of application, a neural approach to a typical problem in the robotic navigation field is presented, which highlights the system-flexibility features. Valerio Gabbani, Santina Rocchi, Valerio Vignoli |
ICRA | 1 |