Murilo Marques Marinho

The University of Manchester
Country flagUnited Kingdom

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Articles (10)

Year:

2025

Year:

2024

Year:

2022

Background Neonate patients have a reduced thoracic cavity, making thoracoscopic procedures even more challenging than their adult counterparts. Methods We evaluated five control strategies for robot‐assisted thoracoscopic surgical looping in simulations and experiments with a physical robotic system in a neonate surgical phantom. The strategies are composed of state‐of‐the‐art constrained optimization and a novel looping force feedback term. Results All control strategies allowed users to successfully perform looping. A user study in simulation showed that the proposed strategy was superior in terms of Physical demand and task duration . The cumulative sum analysis of inexperienced users shows that the proposed looping force feedback can speed up the learning. Results with surgeons did not show a significant difference among control strategies. Conclusions Assistive strategies in looping show promise and further work is needed to extend these benefits to other subtasks in robot‐aided surgical suturing.

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (3)

Bruno Adorno

The University of Manchester

UNITED KINGDOM
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Kanako Harada

University of Tokyo

JAPAN
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Mamoru Mitsuishi

-

JAPAN
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