Demo Data from SIGIR 2026 / reviewers in the wild / expert
Manuel Gregor
dblp:351/7054
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0003-6849-2152ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 manipulation · 44% Legged, aerial and field robots · 44% Robot navigation and mapping · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
aerial robots |
0.9 | 1 | 2025 | Optical Tactile Sensing for Aerial Multicontact Interaction: Design, Integration, and Evaluation · IEEE Trans. Robotics 2025 |
Robotics › Robot manipulation › tactile sensing › vision-based tactile sensing
optical tactile sensing |
0.9 | 1 | 2025 | Optical Tactile Sensing for Aerial Multicontact Interaction: Design, Integration, and Evaluation · IEEE Trans. Robotics 2025 |
Robotics › Robot navigation and mapping › robot mapping
obstacle mapping |
0.3 | 1 | 2025 | Optical Tactile Sensing for Aerial Multicontact Interaction: Design, Integration, and Evaluation · IEEE Trans. Robotics 2025 |
Methods — techniques the papers use, named apart from their topics
optical tactile sensing · 0.9force estimation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Optical Tactile Sensing for Aerial Multicontact Interaction: Design, Integration, and EvaluationabstractDistributed tactile sensing for multiforce detection is crucial for various aerial robot interaction tasks. However, current contact sensing solutions on drones only exploit single end-effector sensors and cannot provide distributed multicontact sensing. Designed to be easily mounted at the bottom of a drone, we propose an optical tactile sensor that features a large and curved soft-sensing surface, a hollow structure and a new illumination system. Even when spaced only 2 cm apart, multiple contacts can be detected simultaneously using our software pipeline, which provides real-world quantities of 3-D contact locations (mm) and 3-D force vectors (N), with an accuracy of 1.5 mm and 0.17 N, respectively. We demonstrate the sensor's applicability and reliability onboard and in real time with two demos related to, first, the estimation of the compliance of different perches and subsequent realignment and landing on the stiffer one, and second, the mapping of sparse obstacles. The implementation of our distributed tactile sensor represents a significant step toward attaining the full potential of drones as versatile robots capable of interacting with and navigating within complex environments. Emanuele Aucone, Carmelo Sferrazza, Manuel Gregor, Raffaello D'Andrea, Stefano Mintchev |
IEEE Trans. Robotics | 3 |