Paolo Fiorini

University of Verona
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Articles (14)

Cable-driven mechanism models are, usually, included in actuated systems; however, recently, their use for sensitive systems has been explored. In this paper, two cable-driven multi-body mechanism models are compared, underlining advantages and constraints in using sensitive cable-driven mechanisms for minimally invasive robotic instruments. The proposed approach could be useful in bypassing sterilization problems for surgical robotic instruments because our system allows for the separation of the robotic sterilizable part from the sensitive-actuated part of the surgical instrument. The real implementation of the proposed mechanism models, presented partially in other works, are validated in this paper, performing a simulation using a multi-body environment. Results confirm the feasibility of the proposed sensitive-actuated approach, defining new bases for the next challenges of the future.

Year:

2024

Transperineal prostate biopsy is the most reliable technique for detecting prostate cancer, and robot-assisted needle insertion has the potential to improve the accuracy of this procedure. Modeling the interaction between a bevel-tip needle and the tissue, considering tissue heterogeneity, needle bending, and tissue/organ deformation and movement is a required step to enable robotic needle insertion. Even if several models exist, they have never been compared on experimental grounds. Based on this motivation, this paper proposes an experimental comparison for kinematic models of needle insertion, considering different needle insertion speeds and different degrees of tissue stiffness. The experimental comparison considers automated insertions of needles into transparent silicone phantoms under stereo-image guidance. The comparison evaluates the accuracy of existing models in predicting needle deformation.

Year:

2024

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2024

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2024

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2023

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2023

Research has demonstrated that Taekwondo training helps to enhance the coordination capabilities in people with developmental coordination disorders. These excellent results depend on many factors, including the behavior of the muscular activation patterns of psychomotor exercises during Taekwondo training. Our basic idea is to study the behavior of the muscular activation pattern of Taekwondo training (performed by athletes) and to apply the adapted behavior of the muscular activation pattern to other subjects with reduced coordination capabilities to enhance them, in line with the sustainable human development goals. This paper presents a preliminary feasibility study and a first step in this direction using a virtual simulation. First, the Taekwondo front-kick exercise was studied and reproduced using a virtual human model in OpenSim. Second, some perturbations were applied to the virtual human model to analyze the behavior of the muscular activation patterns. Third, functional electrical stimulation (FES) patterns were properly simulated to reproduce the same sequence (and value) of signals of muscular activation in another subject. The proposed methodology was conceived on the basis of a simple example of a Taekwondo kick by using a virtual human model, but its general application can fit all kinds of psychomotor exercises. If future works confirm the simulation results presented in this paper with real implementation, the methodology proposed here could be applied every time human capabilities must be increased with or without sports training (e.g., remaining seated on a chair or lying on a bed).

Year:

2023

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2023

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2023

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2023

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2023

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2023

Year:

2023

Year:

2023

Collaborators (9)

Alicia Casals

Professor

Universitat Politècnica de Catalunya

SPAIN
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Jenny Dankelman

Delft University of Technology

NETHERLANDS
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Riccardo Muradore

Associate Professor

University of Verona

ITALY
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Giovanni Gerardo Muscolo

University of Verona

ITALY
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Zhen Li

Delft University of Technology

NETHERLANDS
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Emmanuel Vander Poorten

Prof. dr. ir. at KU Leuven

KU Leuven

BELGIUM
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Franziska Mathis-Ullrich

Professor / Head of laboratory

Friedrich-Alexander Universität Erlangen-Nürnberg

GERMANY
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Andrea Calanca

University of Verona

ITALY
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Martin Wagner

Attending Surgeon and Full Professur of AI-Based Assistance Systems in Surgery

University Hospital Carl Gustav Carus Dresden

GERMANY
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