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Johannes Stelter

dblp:19/3605 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—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
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
assembly
0.012000
Flexible Robot-Assembly using a Multi-Sensory Approach · ICRA 2000
Robotics › Robot manipulation › assembly
sensor-based assembly
0.012000
Flexible Robot-Assembly using a Multi-Sensory Approach · ICRA 2000

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

vision sensing · 0.0seam tracking · 0.0force/torque sensing · 0.0
YearPublicationVenuePosition
2000 Flexible Robot-Assembly using a Multi-Sensory Approach
abstract
Recent research in industrial robotics aims at the involvement of additional sensory devices to improve robustness, flexibility and performance of common robot applications. Many different sensors have been developed over the past years to fit the requirements of different but very specific tasks. Special seam tracking sensors support the robot in welding applications. Vision systems are common in quality control and inspection. Force/torque sensors mounted to a robot's wrist are still an exception and limited to the fields of scientific research. Compared to the number of annual robot sales the number of sensor equipped robots is still negligible, although the benefits of sensory feedback are obvious. In this paper we introduce a general approach to tackle the problem of sensor-based robot assembly. We realized a flexible assembly cell that includes a variety of different sensors for mating with moving parts.
Stefan Jörg, Jörg Langwald, Johannes Stelter, Gerd Hirzinger, Ciro Natale
ICRA3