EDBT 2026 Demo / reviewers in the wild / expert
Kjell Keune
dblp:383/4672
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
assembly planning |
0.8 | 1 | 2024 | SE(2) Assembly Planning for Magnetic Modular Cubes · ICRA 2024 |
Robotics › Motion planning and robot control › motion planning › sensor-based motion planning
closed-loop motion planning |
0.8 | 1 | 2024 | SE(2) Assembly Planning for Magnetic Modular Cubes · ICRA 2024 |
Robotics › Motion planning and robot control
motion planning |
0.8 | 1 | 2024 | SE(2) Assembly Planning for Magnetic Modular Cubes · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
physics simulation · 0.8depth-first search · 0.8closed-loop control · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | SE(2) Assembly Planning for Magnetic Modular CubesabstractMagnetic modular cubes are cube-shaped bodies with embedded permanent magnets. The cubes are uniformly controlled by a global time-varying magnetic field.A 2D physics simulator is used to simulate global control and the resulting continuous movement of magnetic modular cube structures. We develop local plans, closed-loop control algorithms for planning the connection of two structures at desired faces. The global planner generates a building instruction graph for a target structure that we traverse in a depth-first-search approach by repeatedly applying local plans.We analyze how structure size and shape affect planning time. The planner solves 80% of the randomly created instances with up to 12 cubes in an average time of about 200 seconds. Kjell Keune, Aaron T. Becker |
ICRA | 1 |