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Jungwhan Back

dblp:151/9405 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—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%
Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
flexible manipulator
0.212014
A three-axial body force sensor for flexible manipulators · ICRA 2014
Robotics › Robot manipulation
force sensing
0.212014
A three-axial body force sensor for flexible manipulators · ICRA 2014
Robotics › Robot manipulation › robot design
mechanism design
0.212014
A three-axial body force sensor for flexible manipulators · ICRA 2014
Health and well-being technologies
surgical robotics
0.112014
A three-axial body force sensor for flexible manipulators · ICRA 2014

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

optical sensing · 0.4calibration procedure · 0.4
YearPublicationVenuePosition
2014 A three-axial body force sensor for flexible manipulators
abstract
This paper introduces an optical based three axis force sensor which can be integrated with the robot arm of the EU project STIFF-FLOP (STIFFness controllable Flexible and Learnable Manipulator for Surgical Operations) in order to measure applied external forces. The structure of the STIFF-FLOP arm is free of metal components and electric circuits and, hence, is inherently safe near patients during surgical operations. In addition, this feature makes the performance of this sensing system immune against strong magnetic fields inside magnetic resonance (MR) imaging scanners. The hollow structure of the sensor allows the implementation of distributed actuation and sensing along the body of the manipulator. In this paper, we describe the design and calibration procedure of the proposed three axis optics-based force sensor. The experimental results confirm the effectiveness of our optical sensing approach and its applicability to determine the force and momentum components during the physical interaction of the robot arm with its environment.
Yohan Noh, Sina Sareh, Jungwhan Back, Helge A. Wurdemann, Tommaso Ranzani, Emanuele Lindo Secco, Angela Faragasso, Hongbin Liu 0001, Kaspar Althoefer
ICRA3