EDBT 2026 Demo / reviewers in the wild / expert
Frieder Lohnert
dblp:20/2220
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, 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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 88% Robot manipulation · 12% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot learning |
0.0 | 1 | 2001 | Human-Friendly Interaction for Learning and Cooperation · ICRA 2001 |
Robotics › Motion planning and robot control › robot learning
task learning |
0.0 | 1 | 2001 | Human-Friendly Interaction for Learning and Cooperation · ICRA 2001 |
Human-robot interaction
learning from demonstration |
0.0 | 1 | 2001 | Human-Friendly Interaction for Learning and Cooperation · ICRA 2001 |
Robotics › Robot manipulation › task automation
autonomous task execution |
0.0 | 1 | 2001 | Human-Friendly Interaction for Learning and Cooperation · ICRA 2001 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2001 | Human-Friendly Interaction for Learning and Cooperation · ICRA 2001 |
Methods — techniques the papers use, named apart from their topics
teaching by demonstration · 0.1task representation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Human-Friendly Interaction for Learning and CooperationabstractIn this paper, research towards a learning, cooperative robotic assistance is presented. The aim of this research is to develop a robot which can easily be instructed how to either perform task autonomously or in cooperation with humans. We describe the underlying representations and methods developed for teaching new tasks and environments. The functionality has been demonstrated in a number of factory and office settings. In this paper, an example from a service scenario in an office environment is presented. Steen Kristensen, Sven Horstmann, Jesko Klandt, Frieder Lohnert |
ICRA | 4 |