Demo Data from VLDB 2026 / reviewers in the wild / expert
Maca Gomez-Gutierrez
dblp:393/1439
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% | |
| 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
swarm robotics |
0.9 | 1 | 2025 | Express Yourself: Enabling Large-Scale Public Events Involving Multi-Human-Swarm Interaction for Social Applications with MOSAIX · ICRA 2025 |
Human-robot interaction
human-swarm interaction |
0.9 | 1 | 2025 | Express Yourself: Enabling Large-Scale Public Events Involving Multi-Human-Swarm Interaction for Social Applications with MOSAIX · ICRA 2025 |
Human-robot interaction
social robot |
0.3 | 1 | 2025 | Express Yourself: Enabling Large-Scale Public Events Involving Multi-Human-Swarm Interaction for Social Applications with MOSAIX · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
decentralized swarm system · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Express Yourself: Enabling Large-Scale Public Events Involving Multi-Human-Swarm Interaction for Social Applications with MOSAIXabstractRobot swarms have the potential to help groups of people with social tasks, given their ability to scale to large numbers of robots and users. Developing multi-human-swarm interaction is therefore crucial to support multiple people interacting with the swarm simultaneously - which is an area that is scarcely researched, unlike single-human, single-robot or single-human, multi-robot interaction. Moreover, most robots are still confined to laboratory settings. In this paper, we present our work with MOSAIX, a swarm of robot Tiles, that facilitated ideation at a science museum. 63 robots were used as a swarm of smart sticky notes, collecting input from the public and aggregating it based on themes, providing an evolving visualization tool that engaged visitors and fostered their participation. Our contribution lies in creating a large-scale (63 robots and 294 attendees) public event, with a completely decentralized swarm system in real-life settings. We also discuss learnings we obtained that might help future researchers create multi-human-swarm interaction with the public. Merihan Alhafnawi, Maca Gomez-Gutierrez, Edmund R. Hunt, Séverin Lemaignan, Paul J. O'Dowd, Sabine Hauert |
ICRA | 2 |