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J. Holle

dblp:71/1737 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
User interface design and tools › end-user programming
programming by demonstration
0.011998
Interactive Generation of Flexible Robot Programs · ICRA 1998
Human-robot interaction
robot programming
0.011998
Interactive Generation of Flexible Robot Programs · ICRA 1998
Robotics › Robot manipulation
grasping
0.011998
Interactive Generation of Flexible Robot Programs · ICRA 1998
Robotics › Robot manipulation › robot programming
task-level programming
0.011998
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
YearPublicationVenuePosition
1998 Interactive Generation of Flexible Robot Programs
abstract
Service 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
ICRA2