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Taryn Imamura

dblp:395/4757 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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
Legged, aerial and field robots · 62% Robot navigation and mapping · 19% Video understanding and tracking · 19%
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 › Legged, aerial and field robots
field robotics
0.912025
Measuring DNA Microswimmer Locomotion in Complex Flow Environments · ICRA 2025
Medical and health informatics › drug delivery
targeted drug delivery
0.912025
Measuring DNA Microswimmer Locomotion in Complex Flow Environments · ICRA 2025
Robotics › Robot navigation and mapping
localization
0.312025
Measuring DNA Microswimmer Locomotion in Complex Flow Environments · ICRA 2025
Computer vision › Video understanding and tracking
motion tracking
0.312025
Measuring DNA Microswimmer Locomotion in Complex Flow Environments · ICRA 2025

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

magnetic field gradient · 1.7fiducial microsphere tracking · 1.7
YearPublicationVenuePosition
2025 Measuring DNA Microswimmer Locomotion in Complex Flow Environments
abstract
Microswimmers are sub-millimeter swimming robots that show potential as a platform for controllable locomotion in applications, including targeted cargo delivery and minimally invasive surgery. To be viable for these target applications, microswimmers will eventually need to be able to navigate environments with dynamic fluid flows and forces. Experimental studies with microswimmers towards this goal are currently rare because of the difficulty of isolating intentional microswimmer locomotion from environment-induced motion. In this work, we present a method for measuring microswimmer locomotion within a complex flow environment using fiducial microspheres. By tracking the particle motion of ferromagnetic and non-magnetic polystyrene fiducial microspheres, we capture the effect of fluid flow and magnetic field gradients on microswimmer trajectories. We then determine the field-driven translation of these microswimmers relative to fluid flow and demonstrate the effectiveness of this method by illustrating the motion of multiple microswimmers through different flows.
Taryn Imamura, Teresa A. Kent, Rebecca E. Taylor, Sarah Bergbreiter
ICRA1