Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Lucian Cucu

dblp:143/3840 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
climbing robot
0.212015
Towards self-assembled structures with mobile climbing robots · ICRA 2015
Robotics › Legged, aerial and field robots
field robotics
0.212015
Towards self-assembled structures with mobile climbing robots · ICRA 2015
Knowledge, reasoning and agents › Multi-agent systems › swarm robotics
self-assembly
0.212015
Towards self-assembled structures with mobile climbing robots · ICRA 2015
Knowledge, reasoning and agents › Multi-agent systems
swarm robotics
0.212015
Towards self-assembled structures with mobile climbing robots · ICRA 2015
Robotics › Motion planning and robot control › multi-robot control
distributed robot control
0.112015
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
YearPublicationVenuePosition
2015 Towards self-assembled structures with mobile climbing robots
abstract
Social 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
ICRA1