Demo Data from EDBT 2026 / reviewers in the wild / expert
Lisa Kiekbusch
dblp:42/11271
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1
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.
| Software engineering, system software, and programming languages
1 paper |
Program verification · 100% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification
model checking |
0.2 | 1 | 2013 | Tool-assisted verification of behaviour networks · ICRA 2013 |
Robotics › Motion planning and robot control › robot control
behavior-based control |
0.0 | 1 | 2013 | Tool-assisted verification of behaviour networks · ICRA 2013 |
Methods — techniques the papers use, named apart from their topics
model checking · 0.3finite state automata · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Tool-assisted verification of behaviour networksabstractThis paper deals with the problem of assisting developers when verifying properties of complex behaviour-based systems. A central aspect of behaviour-based systems is the interaction between the behaviours, as a lot of the functionality of a system typically arises from this interaction. Hence, verification has to deal with the specialities of behaviour interaction. Previous work has introduced a concept for modelling behaviour-based systems as networks of finite-state automata and for applying model checking as verification technique. As the manual verification of large networks is tedious and errorprone, the work at hand introduces a concept for assisting developers by partly automating the verification process. The applicability of the presented approach is demonstrated using the behaviour-based control system of an autonomous bucket excavator. Christopher Armbrust, Lisa Kiekbusch, Thorsten Ropertz, Karsten Berns |
ICRA | 2 |
| 2011 | Using Behaviour Activity Sequences for Motion Generation and Situation Recognition
Christopher Armbrust, Lisa Kiekbusch, Karsten Berns |
ICINCO (2) | 2 |