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J. Erni

dblp:07/5656 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 · 56% Motion planning and robot control · 44%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
haptic interface
0.012003
An MR compatible robot technology · ICRA 2003
Robotics › Motion planning and robot control
robot control
0.012003
An MR compatible robot technology · ICRA 2003
Medical and health informatics
image-guided intervention
0.012003
An MR compatible robot technology · ICRA 2003
Robotics › Robot manipulation › telemanipulation
master-slave teleoperation
0.012003
An MR compatible robot technology · ICRA 2003

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

hydraulic transmission · 0.1force/torque sensing · 0.1
YearPublicationVenuePosition
2003 An MR compatible robot technology
abstract
Magnetically compatible robots are required to develop haptic interfaces for neuroscience studies and MRI guided robots for minimally invasive interventions. This paper introduces an MR compatible master slave concept using a hydraulic transmission, and presents an operational robot able to work within an MRI/fMRI scanner and acquire images continuously during motion. It describes a magnetically inert actuator using a direct drive to power the hydraulic circuitry and a modular set of position and force/torque sensors that we have developed. These were integrated into a haptic interface prototype with on rotary degree of freedom, which can be used in conjuction with an fMRI. The MR compatibility was confirmed experimentally, and the performances show a manipulation accuracy of a few micrometers over a range of several centimeters, and forces up to several thousand Newton.
Roland Moser, Roger Gassert, Etienne Burdet, Laurent Sache, H. R. Woodtli, J. Erni, Willy Maeder, Hannes Bleuler
ICRA6