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David Hoyle

dblp:85/8029 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—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 · 50% Motion planning and robot control · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › micro/nano manipulation
nanomanipulation
0.112011
A compact closed-loop nanomanipulation system in scanning electron microscope · ICRA 2011
Robotics › Motion planning and robot control
robot control
0.112011
A compact closed-loop nanomanipulation system in scanning electron microscope · ICRA 2011
Medical and health informatics
medical imaging
0.012011
A compact closed-loop nanomanipulation system in scanning electron microscope · ICRA 2011

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

piezo motor · 0.2look-then-move control · 0.2contact detection · 0.2
YearPublicationVenuePosition
2011 A compact closed-loop nanomanipulation system in scanning electron microscope
abstract
This paper presents a nanomanipulation system for operation inside scanning electron microscopes (SEM). The system is small in size, capable of being mounted onto and demounted from an SEM through the specimen exchange chamber without breaking the high vacuum of the SEM. This advance eliminates frequent opening of the high-vacuum chamber, thus, incurs less contamination to the SEM, avoids lengthy pumping, and significantly eases the exchange of end-effectors (e.g., nano probes and grippers). The system consists of two independent 3-DOF Cartesian nanomanipulators based on piezo motors and piezo actuators. High-resolution optical encoders are integrated into the nanomanipulators to provide position feedback for closed-loop control. A look-then-move control system and a contact detection algorithm are implemented for horizontal and vertical nanopositioning. The system design, system characterization details, and system performance are described.
Yan Liang Zhang, Yong Zhang 0046, Changhai Ru, Patrick Woo, Mitsuhiro Nakamura, David Hoyle, Ian Cotton, Yu Sun 0001
ICRA6