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Susanne Oberer

dblp:41/2793 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
physical human-robot interaction
0.112007
Robot-Dummy Crash Tests for Robot Safety Assessment · ICRA 2007
Human-robot interaction
robot safety
0.112007
Robot-Dummy Crash Tests for Robot Safety Assessment · ICRA 2007
Human-robot interaction › human-robot collaboration
safety in collaboration
0.112007
Robot-Dummy Crash Tests for Robot Safety Assessment · ICRA 2007

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

finite element simulation · 0.1crash test dummy · 0.1
YearPublicationVenuePosition
2007 Robot-Dummy Crash Tests for Robot Safety Assessment
abstract
New technologies and processes enhance the need for direct human-robot-interaction, to fully exploit the potential of robots' accuracy and humans' adaptability. Therefore, the hazardous potential of the involved robot manipulator needs to be minimised. Limits must be set, so that only an acceptable severity of injury for the human will remain in case of an unintended contact between the robot and a human. Current standardisation for industrial robot systems does not sufficiently address the subject of close human-robot-cooperation, thereby restricting the implementation of the newest technology. The aim of the reported research is to demonstrate the possibilities to assess the safety performance of robot systems by robot-dummy impact evaluation. In this paper, methods from the automotive industry are investigated on their transferability to the situation in robotics. Anthropomorphic test devices, so called crash test dummies, that resemble the human's kinematic response in car crashes are analysed during a robot-dummy impact. A simulation setup with the dummy FAT ES-2 representing the operator and an industrial robot is realised within LS-DYNA to conduct impacts of the robot arm against the head and the chest. The resulting head injury index (HIC), the viscous criteria (VC) for the chest and the pubic symphysis peak force (PSPF) for the pelvis are discussed, showing their potential and limitations for the situation in robotics.
Susanne Oberer, Rolf Dieter Schraft
ICRA1