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Peter Lepej

dblp:135/8470 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · unresolved

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
Knowledge representation and reasoning · 67% Robot navigation and mapping · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › diagnosis
fault diagnosis
0.212013
An integrated model-based diagnosis and repair architecture for ROS-based robot systems · ICRA 2013
Knowledge, reasoning and agents › Knowledge representation and reasoning › diagnosis
model-based diagnosis
0.212013
An integrated model-based diagnosis and repair architecture for ROS-based robot systems · ICRA 2013

Methods — techniques the papers use, named apart from their topics

model-based diagnosis and repair · 0.2
YearPublicationVenuePosition
2013 An integrated model-based diagnosis and repair architecture for ROS-based robot systems
abstract
Autonomous robots are artifacts that comprise a significant number of heterogeneous hardware and software components and interact with dynamic environments. Therefore, there is always a chance of faults at run-time that negatively affect the reliability of the system. In this paper we present a novel diagnosis and repair architecture for ROS-based robot systems. It is an extension to the existing ROS diagnostics stack and follows a model-based diagnosis and repair approach. In the paper we discuss the integrated diagnosis and repair architecture in detail. Moreover, we show its application to an example robot system and report first experimental results. The presented work provides three major contributions: a combination of diagnosis and repair, the integration of hardware and software, and the integration into ROS.
Safdar Zaman, Gerald Steinbauer-Wagner, Johannes Maurer, Peter Lepej, Suzana Uran
ICRA4