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Rebecca E. Taylor

dblp:243/2523 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0001-5299-8296ORCID · reported

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

Artificial intelligence and machine learning · 2 · 1 since 2021Systems, architecture and hardware · 2 · 1 since 2021Human-computer interaction and ubiquitous 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
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
ICRA3
2020 Steering Magnetic Robots in Two Axes with One Pair of Maxwell Coils*
abstract
This work demonstrates a novel approach to steering a magnetic swimming robot in two dimensions with a single pair of Maxwell coils. By leveraging the curvature of the magnetic field gradient, we achieve motion along two axes. This method allows us to control medical magnetic robots using only existing MRI technology, without requiring additional hardware or posing any additional risk to the patient. We implement a switching time optimization algorithm which generates a schedule of control inputs that direct the swimming robot to a goal location in the workspace. By alternating the direction of the magnetic field gradient produced by the single pair of coils per this schedule, we are able to move the swimmer to desired points in two dimensions. Finally, we demonstrate the feasibility of our approach with an experimental implementation on the millimeter scale and discuss future opportunities to expand this work to the microscale, as well as other control problems and real-world applications.
Emma Benjaminson, Matthew J. Travers, Rebecca E. Taylor
IROS3
2019 Vitro: Designing a Voice Assistant for the Scientific Lab Workplace
abstract
This paper investigates whether voice assistants can play a useful role in the specialized work-life of the knowledge worker (in a biology lab). It is motivated both by promising advances in voice-input technology, and a long-standing vision in the community to augment scientific processes with voice-based agents. Through a reflection on our design process and a limited but fully functional prototype, Vitro, we find that scientists wanted a voice-enabled device that acted not a lab assistant, but lab equipment. Second, we discovered that such a device would need to be deeply embedded in the physical and social space in which it served scientists. Finally, we discovered that scientists preferred a device that supported their practice of "careful deviation" from protocols in their lab work. Through this research, we contribute implications for the design of voice-enabled systems in workplace settings.
Julia Cambre, Rebecca E. Taylor, Chinmay Kulkarni 0001
Conference on Designing Interactive Systems3