Demo Data from EDBT 2026 / reviewers in the wild / expert
Lucian Cucu
dblp:143/3840
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 · 46% Multi-agent systems · 46% Motion planning and robot control · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › field robotics
climbing robot |
0.2 | 1 | 2015 | Towards self-assembled structures with mobile climbing robots · ICRA 2015 |
Robotics › Legged, aerial and field robots
field robotics |
0.2 | 1 | 2015 | Towards self-assembled structures with mobile climbing robots · ICRA 2015 |
Knowledge, reasoning and agents › Multi-agent systems › swarm robotics
self-assembly |
0.2 | 1 | 2015 | Towards self-assembled structures with mobile climbing robots · ICRA 2015 |
Knowledge, reasoning and agents › Multi-agent systems
swarm robotics |
0.2 | 1 | 2015 | Towards self-assembled structures with mobile climbing robots · ICRA 2015 |
Robotics › Motion planning and robot control › multi-robot control
distributed robot control |
0.1 | 1 | 2015 | Towards self-assembled structures with mobile climbing robots · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
self-assembly algorithm · 0.2local sensing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Towards self-assembled structures with mobile climbing robotsabstractSocial insects have evolved to self-assemble ad-hoc structures from their bodies to quickly adapt to unexpected obstacles and situations. Inspired by these natural systems, we present an autonomous tread-based robot which is capable of using its own body as a building block for assembling structures. We analytically assess the optimality of the robot design, and experimentally test its ability to climb over like robots under varying conditions. Finally, using a simple self-assembly algorithm relying on only local sensing, robot prototypes are used to demonstrate the self-assembly of a 2D pyramid structure. Lucian Cucu, Michael Rubenstein, Radhika Nagpal |
ICRA | 1 |