Demo Data from EDBT 2026 / reviewers in the wild / expert
Ashley Nettleman
dblp:164/8511
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
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 |
Multi-agent systems · 64% Planning, search and constraint satisfaction · 28% Motion planning and robot control · 8% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
formation control |
0.2 | 1 | 2015 | Symmetries and reduction for multi-agent control · ICRA 2015 |
Knowledge, reasoning and agents › Multi-agent systems
multi-agent control |
0.2 | 1 | 2015 | Symmetries and reduction for multi-agent control · ICRA 2015 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
symmetry reduction |
0.2 | 1 | 2015 | Symmetries and reduction for multi-agent control · ICRA 2015 |
Knowledge, reasoning and agents › Multi-agent systems › formation control
formation stability |
0.1 | 1 | 2015 | Symmetries and reduction for multi-agent control · ICRA 2015 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2015 | Symmetries and reduction for multi-agent control · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
lie symmetry · 0.2lasalle's principle · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Symmetries and reduction for multi-agent controlabstractThis paper computes all the continuous point-transformation symmetries for a planar multi-agent dynamical control system. The relative configuration among the agents is often the most important aspect of this problem, and this paper presents a method to “factor out” the location and orientation on the plane of a multi-agent formation problem. This is useful in the case where only the relative positioning of the agents is of concern. The method to compute the symmetries and determine the reduced coordinates is well-established. The contributions of this paper are (1) computing the symmetries for a multi-agent system, (2) highlighting the utility of the reduction for the formation control application such as formation stability and (3) analyzing the symmetries to determine a relatively broad class of systems which have the same symmetries and hence identical coordinates for reduction. Although it has been addressed in various ways, essentially all methods to determine the stability properties of the formation control problem need the dynamics to be formulated on a reduced, relative space. Hence, stability (and stability-like notions such as that which follow from LaSalle's Principle) analyses will be the main beneficiary of this work. Ashley Nettleman, Bill Goodwine |
ICRA | 1 |