1 code implementation • LREC 2022 • Marco Bombieri, Marco Rospocher, Simone Paolo Ponzetto, Paolo Fiorini
Robot-Assisted minimally invasive robotic surgery is the gold standard for the surgical treatment of many pathological conditions, and several manuals and academic papers describe how to perform these interventions.
1 code implementation • 26 Jan 2024 • Marco Bombieri, Paolo Fiorini, Simone Paolo Ponzetto, Marco Rospocher
Large language models (LLMs) have recently revolutionized automated text understanding and generation.
1 code implementation • 18 Dec 2023 • Joel L. Lavanchy, Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Paolo Fiorini, Beat Muller-Stich, Philipp C. Nett, Jacques Marescaux, Didier Mutter, Nicolas Padoy
The use of multi-centric training data, experiments 6) and 7), improves the generalization capabilities of the models, bringing them beyond the level of independent mono-centric training and validation (experiments 1) and 2)).
no code implementations • 23 Feb 2023 • Michele Ginesi, Paolo Fiorini
Although this extension is proposed for the ARHMM, it can be easily extended to other latent variable models with AR dynamics in the observed space, such as Auto-Regressive Hidden semi-Markov Models.
no code implementations • 21 Feb 2023 • Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy
In this work, we propose to use coarser and easier-to-annotate activity labels, namely phases, as weak supervision to learn step recognition with fewer step annotated videos.
no code implementations • 18 Jan 2023 • Daniele Meli, Hirenkumar Nakawala, Paolo Fiorini
In this manuscript, we present a survey on recent advances in the application of logic programming to the problem of task planning.
1 code implementation • 2 Aug 2022 • Giovanni Menegozzo, Diego Dall'Alba, Paolo Fiorini
This work introduces two novel public datasets for CD in continuous manufacturing processes.
1 code implementation • 30 Jun 2022 • Ameya Pore, Martina Finocchiaro, Diego Dall'Alba, Albert Hernansanz, Gastone Ciuti, Alberto Arezzo, Arianna Menciassi, Alicia Casals, Paolo Fiorini
Flexible endoscopes for colonoscopy present several limitations due to their inherent complexity, resulting in patient discomfort and lack of intuitiveness for clinicians.
no code implementations • 2 Dec 2021 • Guiqiu Liao, Oscar Caravaca-Mora, Benoit Rosa, Philippe Zanne, Alexandre Asch, Diego Dall Alba, Paolo Fiorini, Michel de Mathelin, Florent Nageotte, Michalina J. Gora
The non-constant rotation speed of optical components in the OCT catheter tip causes rotational distortion in OCT volumetric scanning.
no code implementations • 18 May 2021 • Daniele Meli, Paolo Fiorini
Robot-assisted surgery is an established clinical practice.
no code implementations • 24 Feb 2021 • Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy
Conclusion: In this work, we present a multi-task multi-stage temporal convolutional network for surgical activity recognition, which shows improved results compared to single-task models on the Bypass40 gastric bypass dataset with multi-level annotations.
no code implementations • 16 Jul 2020 • Andrea Roberti, Nicola Piccinelli, Daniele Meli, Riccardo Muradore, Paolo Fiorini
Calibration of the camera and the robot is necessary for precise positioning of the tools in order to emulate the high performance surgeons.
1 code implementation • 1 Jul 2020 • Michele Ginesi, Daniele Meli, Andrea Roberti, Nicola Sansonetto, Paolo Fiorini
In this work, we extend our previous work to include the velocity of the trajectory in the definition of the potential.
Robotics
no code implementations • 19 Apr 2020 • Michele Ginesi, Daniele Meli, Andrea Roberti, Nicola Sansonetto, Paolo Fiorini
The framework consists of a task-level reasoning module based on answer set programming, a low-level motion planning module based on dynamic movement primitives, and a situation awareness module.
1 code implementation • 28 Aug 2019 • Michele Ginesi, Nicola Sansonetto, Paolo Fiorini
In this work, we present and motivate a new set of basis functions to be used in the learning process, showing their ability to accurately approximate functions while having both analytical and numerical advantages w. r. t.
Robotics Numerical Analysis Systems and Control Systems and Control Numerical Analysis