Demo Data from EDBT 2026 / reviewers in the wild / expert
Leyre Aldama
dblp:16/7737
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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 |
Multi-agent systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems |
0.1 | 1 | 2009 | Simultaneous task subdivision and allocation for teams of heterogeneous robots · ICRA 2009 |
Knowledge, reasoning and agents › Multi-agent systems › automated negotiation
negotiation protocol |
0.1 | 1 | 2009 | Simultaneous task subdivision and allocation for teams of heterogeneous robots · ICRA 2009 |
Knowledge, reasoning and agents › Multi-agent systems
task allocation |
0.1 | 1 | 2009 | Simultaneous task subdivision and allocation for teams of heterogeneous robots · ICRA 2009 |
Methods — techniques the papers use, named apart from their topics
rubinstein's alternate offers protocol · 0.1heuristic search · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Simultaneous task subdivision and allocation for teams of heterogeneous robotsabstractIn this paper, we present a negotiation protocol for simultaneous task subdivision and allocation for heterogeneous multi-robot systems. An abstraction of the concept of task is presented that allows to apply the protocol on a variety of tasks. The negotiation adopts Rubinstein's alternate offers protocol, where offers are evaluated and generated using a heuristic search step. The protocol has been tested on computer simulations. Claudio Rossi 0001, Leyre Aldama, Antonio Barrientos |
ICRA | 2 |
| 2009 | Negotiation of target points for teams of heterogeneous robots: an application to explorationabstractIn this paper, we present an application to Search and Rescue of a task negotiation protocol for teams of heterogeneous robots. Self-organization through autonomous negotiations allow the robots to assign themselves a number of target observation points decided by the operator, who is relieved from deciding the optimal assignment. The operator can then focus on monitoring the mission and deciding next actions. The protocol has been tested on both computer simulations and real robots. Claudio Rossi 0001, Leyre Aldama, Antonio Barrientos, Alberto Valero-Gomez |
IROS | 2 |