Demo Data from VLDB 2026 / reviewers in the wild / expert
J. Holle
dblp:71/1737
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 50% User interface design and tools · 50% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools › end-user programming
programming by demonstration |
0.0 | 1 | 1998 | Interactive Generation of Flexible Robot Programs · ICRA 1998 |
Human-robot interaction
robot programming |
0.0 | 1 | 1998 | Interactive Generation of Flexible Robot Programs · ICRA 1998 |
Robotics › Robot manipulation
grasping |
0.0 | 1 | 1998 | Interactive Generation of Flexible Robot Programs · ICRA 1998 |
Robotics › Robot manipulation › robot programming
task-level programming |
0.0 | 1 | 1998 | Interactive Generation of Flexible Robot Programs · ICRA 1998 |
Methods — techniques the papers use, named apart from their topics
knowledge representation · 0.0graphical user interface · 0.03d simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Interactive Generation of Flexible Robot ProgramsabstractService robots require interactive programming interfaces that allow users without programming experience to easily instruct the robots. Systems following the programming by demonstration (PbD) paradigm that were developed within the last years are getting closer to this goal. However, most of these systems lack the possibility for the user to supervise and alter the course of program generation after the initial demonstration was performed. In this paper we present an approach, where the user is able to supervise the entire program generation process and to annotate, and edit system hypotheses. Moreover, the knowledge representation and algorithms presented enable the user to generalize the generated program by annotating conditions and object selection criteria via a 3D simulation and graphical user interface. The resulting PbD-system widens the PbD approach in robotics to the interactive generation of flexible robot programs based on demonstration and annotations. Holger Friedrich 0002, J. Holle, Rüdiger Dillmann |
ICRA | 2 |