Demo Data from EDBT 2026 / reviewers in the wild / expert
Francesco Visentin
dblp:43/10011
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-0879-7283ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Systems, 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% | |
| Artificial intelligence
1 paper |
Robot navigation and mapping · 87% Legged, aerial and field robots · 13% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioimage informatics
bioimage analysis |
1.0 | 1 | 2026 | Image-based Morphological Characterization of Filamentous Biological Structures with Non-constant Curvature Shape Feature · Int. J. Comput. Vis. 2026 |
Geometric modeling and processing
shape analysis |
1.0 | 1 | 2026 | Image-based Morphological Characterization of Filamentous Biological Structures with Non-constant Curvature Shape Feature · Int. J. Comput. Vis. 2026 |
Robotics › Robot navigation and mapping › obstacle detection
dynamic obstacle detection |
0.4 | 1 | 2019 | Dynamic Obstacles Detection for Robotic Soil Explorations · ICRA 2019 |
Robotics › Robot navigation and mapping
obstacle detection |
0.4 | 1 | 2019 | Dynamic Obstacles Detection for Robotic Soil Explorations · ICRA 2019 |
Robotics › Legged, aerial and field robots
field robotics |
0.1 | 1 | 2019 | Dynamic Obstacles Detection for Robotic Soil Explorations · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
force/torque sensing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Image-based Morphological Characterization of Filamentous Biological Structures with Non-constant Curvature Shape Feature
Francesco Visentin, Barbara Mazzolai, Emanuela Del Dottore |
Int. J. Comput. Vis. | 2 |
| 2019 | Dynamic Obstacles Detection for Robotic Soil ExplorationsabstractNowadays, robots can navigate complex and dynamic environments such as air, water, and different terrain. However, moving into the underground, and especially into the soil, is still a challenge. Soil is a complex environment, and its exploration and monitoring is a crucial aspect in different engineering fields. Although some robotic solutions for mapping the soil are available, none of them can navigate into it. In this work, we propose a new solution for dynamic obstacles detection by embedding a 6-axis force torque sensor into a plant-inspired robot for soil exploration. We measured the forces acting on the apical part of the robot while it penetrates the soil by growing. We tested the system in different configurations, and at different depths. Results show that it is possible to identify the relative position of the obstacle before touching it with the robot. By using the proposed method as control feedback it is possible to move toward the development of novel robotic systems for navigating in complex and dynamic environments, such as the soil. Francesco Visentin, Ali Sadeghi, Barbara Mazzolai |
ICRA | 1 |