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Jaime Cuevas Tabarés

dblp:88/10859 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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
Motion planning and robot control · 56% Robot manipulation · 44%
Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › stabilization control
active stabilization
0.112012
Micron: An Actively Stabilized Handheld Tool for Microsurgery · IEEE Trans. Robotics 2012
Robotics › Robot manipulation › medical robotics
tremor cancellation
0.112012
Micron: An Actively Stabilized Handheld Tool for Microsurgery · IEEE Trans. Robotics 2012
Health and well-being technologies
microsurgery
0.112012
Micron: An Actively Stabilized Handheld Tool for Microsurgery · IEEE Trans. Robotics 2012

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

piezoelectric actuation · 0.3optical position measurement · 0.3control filter design · 0.3
YearPublicationVenuePosition
2012 Micron: An Actively Stabilized Handheld Tool for Microsurgery
abstract
We describe the design and performance of a hand-held actively stabilized tool to increase accuracy in micro-surgery or other precision manipulation. It removes involuntary motion such as tremor by actuating the tip to counteract the effect of the undesired handle motion. The key components are a three-degree-of-freedom piezoelectric manipulator that has 400 μm range of motion, 1 N force capability, and bandwidth over 100 Hz, and an optical position measurement subsystem that acquires the tool pose with 4 μm resolution at 2000 samples/s. A control system using these components attenuates hand motion by at least 15 dB (a fivefold reduction). By considering the effect of the frequency response of Micron on the human visual feedback loop, we have developed a filter that reduces unintentional motion, yet preserves intuitive eye-hand coordination. We evaluated the effectiveness of Micron by measuring the accuracy of the human/machine system in three simple manipulation tasks. Handheld testing by three eye surgeons and three non-surgeons showed a reduction in position error of between 32% and 52%, depending on the error metric.
Robert A. MacLachlan, Brian C. Becker, Jaime Cuevas Tabarés, Gregg Podnar, Louis A. Lobes Jr., Cameron N. Riviere
IEEE Trans. Robotics3