Demo Data from SIGIR 2026 / reviewers in the wild / expert
Emanuele Morgavi
dblp:18/6707
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 56% Robot navigation and mapping · 36% Legged, aerial and field robots · 8% |
Topics — the 5 heaviest of 5, 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 | 1999 | Real-Time Path Planning and Obstacle Avoidance for an Autonomous Underwater Vehicle · ICRA 1999 |
Robotics › Motion planning and robot control
path planning |
0.0 | 1 | 1999 | Real-Time Path Planning and Obstacle Avoidance for an Autonomous Underwater Vehicle · ICRA 1999 |
Robotics › Motion planning and robot control › path planning
real-time path planning |
0.0 | 1 | 1999 | Real-Time Path Planning and Obstacle Avoidance for an Autonomous Underwater Vehicle · ICRA 1999 |
Robotics › Legged, aerial and field robots › underwater robotics
underwater vehicle control |
0.0 | 1 | 1999 | Real-Time Path Planning and Obstacle Avoidance for an Autonomous Underwater Vehicle · ICRA 1999 |
Robotics › Robot navigation and mapping › mobile robot navigation › vehicle navigation
underwater vehicle navigation |
0.0 | 1 | 1999 | Real-Time Path Planning and Obstacle Avoidance for an Autonomous Underwater Vehicle · ICRA 1999 |
Methods — techniques the papers use, named apart from their topics
visual pipeline tracking · 0.0ocean current compensation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Real-Time Path Planning and Obstacle Avoidance for an Autonomous Underwater VehicleabstractA navigation system for real-time path planning and obstacle avoidance of an autonomous underwater vehicle is presented. The vehicle is designed to accomplishing two missions: pre-deployment survey of sea bottom, and visual inspection of pipelines. In the first mission the navigation system must be able to track a predefined path while avoiding the unplanned occurrence of obstacles. In the second mission the navigation system must track a pipeline by locally reconstructing its location from visual information; also in this case, the unplanned occurrence of obstacles must be handled. Furthermore, the navigation system must properly take into account the presence of ocean current and some drastic constraints due to sensor and actuator characteristics. Gianluca Antonelli, Stefano Chiaverini, Roberto Finotello, Emanuele Morgavi |
ICRA | 4 |