Demo Data from SIGIR 2026 / reviewers in the wild / expert
Bertrand Baud
dblp:82/6029
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 |
Legged, aerial and field robots · 67% Autonomous driving · 33% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › underwater robotics
autonomous underwater vehicle |
0.0 | 1 | 2004 | Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004 |
Robotics › Autonomous driving
multi-vehicle coordination |
0.0 | 1 | 2004 | Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004 |
Robotics › Legged, aerial and field robots
underwater robotics |
0.0 | 1 | 2004 | Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004 |
Internet of things and sensor networks › underwater sensor networks
underwater communication |
0.0 | 1 | 2004 | Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004 |
Methods — techniques the papers use, named apart from their topics
modeling and simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Multiple Communicating Autonomous Underwater VehiclesabstractThis paper addresses the problems associated with missions using multiple cooperating autonomous underwater vehicles. In such missions, inter-vehicle communication is an important requirement upon which coordination strategy and intelligence decision making functions can be built. This paper presents briefly our current modeling and simulation work on characterizing the vehicle communication performance, together with some of the preliminary results. Even with much simplification of scenario modeling, simulation results exhibit intricate communication characteristics, and they can vary significantly as a function of mission requirements and scenarios. Edgar An, Pierre-Philippe J. Beaujean, Bertrand Baud, Ted Carlson, Andres Folleco, Tzyh Jong Tarn |
ICRA | 3 |