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Veronica Iacovacci

dblp:171/8875 · DBLP profile ↗
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3ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0002-4052-3581ORCID · verified

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

Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Systems, architecture and hardware · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 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
2 papers
Robot manipulation · 52% Robot navigation and mapping · 24% Motion planning and robot control · 24%
Interdisciplinary, comprehensive, and emerging computing
3 papers
Medical and health informatics · 100%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
soft robotics
0.712023
A hydraulic soft robotic detrusor based on an origami design · ICRA 2023
Robotics › Robot navigation and mapping › mobile robot navigation › micro-scale navigation
magnetic microrobot navigation
0.612022
Ultrasound Acoustic Phase Analysis Enables Robotic Visual-Servoing of Magnetic Microrobots · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › micro/nano robotics
microrobot control
0.612022
Ultrasound Acoustic Phase Analysis Enables Robotic Visual-Servoing of Magnetic Microrobots · IEEE Trans. Robotics 2022
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.612022
Ultrasound Acoustic Phase Analysis Enables Robotic Visual-Servoing of Magnetic Microrobots · IEEE Trans. Robotics 2022
Medical and health informatics
medical robotics
0.412019
Retrieval of magnetic medical microrobots from the bloodstream · ICRA 2019
Medical and health informatics
assistive technology
0.212023
A hydraulic soft robotic detrusor based on an origami design · ICRA 2023

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

origami-based hydraulic actuation · 1.3ultrasound acoustic phase analysis · 1.1magnetic actuation · 1.1magnetic capture model · 0.4catheter design · 0.4
YearPublicationVenuePosition
2023 A hydraulic soft robotic detrusor based on an origami design
abstract
As a permanent solution for patients who cannot contract their urinary bladder, an artificial detrusor muscle appears a higher outcome approach compared to current sacral neurostimulators featured by severe long-term side effects. In this paper, a novel soft robotic detrusor is presented to overcome the limitations of the state-of-the-art solutions. It is based on two identical origami-based hydraulic actuators, which completely surround the bladder and contract upon water aspiration. Design, manufacturing, and experimental characterization both in terms of contraction capabilities and voiding efficiency on ex vivo swine bladders are reported for two different origami geometries, as well as a proof-of-concept implementation of an autonomous driving circuit as control unit. Results from assisted urination tests outlined very good performances proving an active voiding efficiency of the hydraulic soft robotic detrusor equal to 84.8%$\pm 7.4\%$in simulated environment.
Simone Onorati, Federica Semproni, Linda Paternò, Giada Casagrande, Veronica Iacovacci, Arianna Menciassi
ICRA5
2022 Ultrasound Acoustic Phase Analysis Enables Robotic Visual-Servoing of Magnetic Microrobots
abstract
Microrobots (MRs) have attracted growing interest for their potentialities in diagnosis and noninvasive intervention in hard-to-reach body areas. The safe operation of biomedical MRs requires fine control capabilities, which strongly depend on precise and robust feedback about their position over time. Ultrasound acoustic phase analysis (US-APA) may allow for a reliable feedback strategy for MR imaging and tracking in tissue. In this article, we combine task-specific magnetic actuation and related US-APA motion tracking to achieve closed-loop navigation of a magnetic MR, rolling on the boundary of a lumen in a tissue-mimicking phantom. A C-arm system attached to a robotic platform is used to precisely position the magnetic actuation source and US-APA detection unit within the workspace, thus enabling MR visual-servoing. In the first place, the proposed approach allows to perform supervised localization of the MR without anya-prioriknowledge of its position. After localization, a robust real-time tracking enables closed-loop MR teleoperation in the phantom lumina over a travel distance of 80 mm (145 body lengths), both in static and counter flow, thus achieving an average position tracking error of 368 micron (0.67 body lengths). For the first time, our results validate US-APA as a reliable feedback strategy for visual-servoing control of MRs in simulated in-body environment.
Stefano Pane, Giovanni Faoro, Edoardo Sinibaldi, Veronica Iacovacci, Arianna Menciassi
IEEE Trans. Robotics4
2019 Retrieval of magnetic medical microrobots from the bloodstream
abstract
Untethered magnetic microrobots hold the potential to penetrate hard-to-reach areas of the human body and to perform therapy in a controlled way. In the past decade, impressive advancements have been made in this field but the clinical adoption of magnetoresponsive microrobots is still hampered by safety issues. A tool appointed for magnetic microrobots retrieval within body fluids could enable a real paradigm change, fostering their clinical translation.By starting from the general problem to retrieve magnetic microrobots injected into the bloodstream, the authors introduce a magnetic capture model that allows to design retrieval tools for magnetic cores of different diameters (down to 10 nm) and in different environmental conditions (fluid speed up to 7 cms-1). The model robustness is demonstrated by the design and testing of a retrieval catheter. In its optimal configuration, the catheter includes 27 magnets and fits a 12 F catheter. The model provides a good prediction of capture efficiency for 250 nm magnetic particles (experimental data: 77.6%, model prediction: 65%) and a very good prediction for 500 nm particles (experimental data: 93.6%, model prediction: 94%). The results support the proposed model-based design approach, which can be extended to retrieve other magnetoresponsive agents from body compartments.
Veronica Iacovacci, Leonardo Ricotti, Giovanni Signore, Fabio Vistoli, Edoardo Sinibaldi, Arianna Menciassi
ICRA1