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Ann M. Hirt

dblp:78/4040 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0002-2193-0472ORCID · corroborated

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, 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
2 papers
Robot manipulation · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › micro/nano robotics
microrobot
0.112008
Modeling assembled-MEMS microrobots for wireless magnetic control · ICRA 2008
Robotics › Robot manipulation › micromanipulation
magnetic manipulation
0.112007
Modeling Magnetic Torque and Force for Controlled Manipulation of Soft-Magnetic Bodies · IEEE Trans. Robotics 2007
Medical and health informatics › precision medicine
targeted therapy
0.012008
Modeling assembled-MEMS microrobots for wireless magnetic control · ICRA 2008

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

magnetic field modeling · 0.2FEM validation · 0.2continuous magnetization model · 0.1
YearPublicationVenuePosition
2008 Modeling assembled-MEMS microrobots for wireless magnetic control
abstract
Capitalizing on advances in CMOS and MEMS technologies, microrobots have the potential to dramatically change many aspects of medicine by navigating bodily fluids to perform targeted diagnosis and therapy. Onboard energy storage and actuation is very difficult at the microscale, but externally applied magnetic fields provide an unparalleled means of wireless power and control. Recent results have provided a model for accurate real-time control of soft-magnetic bodies with axially symmetric geometries. In this paper, we extend the model to consider the real-time control of assembled-MEMS devices that may have significantly more complex geometries. We validate the model through FEM and experiments. The model captures the characteristics of complex 3-D structures and allows us, for the first time, to consider full 6-DOF control of untethered devices, which can act asinvivomicrorobots or as end-effectors of micromanipulation systems.
Zoltán Nagy 0002, Olgaç Ergeneman, Jake J. Abbott, Marco Hutter 0001, Ann M. Hirt, Bradley J. Nelson
ICRA5
2007 Modeling Magnetic Torque and Force for Controlled Manipulation of Soft-Magnetic Bodies
abstract
We calculate the torque and force generated by an arbitrary magnetic field on an axially symmetric soft-magnetic body. We consider the magnetization of the body as a function of the applied field, using a continuous model that unifies two disparate magnetic models. The continuous torque and force follow. The model is verified experimentally, and captures the often neglected region between weak and saturating fields, where interesting behavior is observed. We provide the field direction to maximize torque for a given field magnitude. We also find an absolute maximum torque, for a given body geometry and material, which can be generated with relatively weak applied fields. This paper is aimed at those interested in systems-level analysis, simulation, and real-time control of soft-magnetic bodies.
Jake J. Abbott, Olgaç Ergeneman, Michael P. Kummer, Ann M. Hirt, Bradley J. Nelson
IEEE Trans. Robotics4