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ARS SIGNED

Autonomous Robotic Surgery

Total Cost €

0

EC-Contrib. €

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Partnership

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Project "ARS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI VERONA 

Organization address
address: VIA DELL ARTIGLIERE 8
city: VERONA
postcode: 37129
website: www.univr.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 2˙750˙000 €
 EC max contribution 2˙750˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2022-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI VERONA IT (VERONA) coordinator 2˙750˙000.00

Map

 Project objective

The goal of the ARS project is the derivation of a unified framework for the autonomous execution of robotic tasks in challenging environments in which accurate performance and safety are of paramount importance. We have chosen surgery as the research scenario because of its importance, its intrinsic challenges, and the presence of three factors that make this project feasible and timely. In fact, we have recently concluded the I-SUR project demonstrating the feasibility of autonomous surgical actions, we have access to the first big data made available to researchers of clinical robotic surgeries, and we will be able to demonstrate the project results on the high performance surgical robot “da Vinci Research Kit”. The impact of autonomous robots on the workforce is a current subject of discussion, but surgical autonomy will be welcome by the medical personnel, e.g. to carry out simple intervention steps, react faster to unexpected events, or monitor the insurgence of fatigue. The framework for autonomous robotic surgery will include five main research objectives. The first will address the analysis of robotic surgery data set to extract action and knowledge models of the intervention. The second objective will focus on planning, which will consist of instantiating the intervention models to a patient specific anatomy. The third objective will address the design of the hybrid controllers for the discrete and continuous parts of the intervention. The fourth research objective will focus on real time reasoning to assess the intervention state and the overall surgical situation. Finally, the last research objective will address the verification, validation and benchmark of the autonomous surgical robotic capabilities. The research results to be achieved by ARS will contribute to paving the way towards enhancing autonomy and operational capabilities of service robots, with the ambitious goal of bridging the gap between robotic and human task execution capability.

 Publications

year authors and title journal last update
List of publications.
2018 Nakawala H., Gonçalves P. J. S., Fiorini P., Ferrigno G., De Momi E
Approaches for action sequence representation in robotics: a review
published pages: , ISSN: , DOI:
IEEE/RSJ International conference on, Intelligent Robots and Systems - IROS2018 2019-06-07
2019 K.L. Schwaner, D. Dall\'Alba, Z. Cheng, L. Mattos, P. Fiorini and T. R. Savarimuthu
Robotically assisted electrical bio-impedance measurements for soft tissue characterization: a feasibility study
published pages: , ISSN: , DOI:
Hamlyn Symposium on Medical Robotics (2019) 2019-06-07
2019 Ginesi M.*, Meli D.*, Nakawala H.*, Roberti A.*, Calanca A., Fiorini P.
Toward a knowledge-based framework for task automation in surgery
published pages: , ISSN: , DOI:
9th Joint Workshop on New Technologies for Computer/Robot-Assisted Surgery, 2019 2019-06-07
2019 Tagliabue E, Dall’Alba D, Magnabosco E, Tenga C, Fiorini P
A position-based framework for the prediction of probe-induced lesion displacement in Ultrasound-guided breast biopsy
published pages: , ISSN: , DOI:
9th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (2019 2019-06-07
2019 Menegozzo, G., Dall’Alba, D., Zandonà, C., & Fiorini, P.
Surgical gesture recognition with time delay neural network based on kinematic data
published pages: , ISSN: , DOI:
International Symposium on Medical Robotics (ISMR) 2019-06-07
2019 Tagliabue E, Dall’Alba D, Magnabosco E, Tenga C, Peterlik I, Fiorini P
Position-based modeling of lesion displacement in Ultrasound-guided breast biopsy
published pages: , ISSN: 1861-6410, DOI:
International Journal of Computer-Assisted Radiology and Surgery IJCARS 2019-06-07
2018 Z. Cheng, D. Dall\'Alba, S. Foti, A. Mariani, T. Chupin, D. Caldwell, P. Fiorini, E. De Momi, G. Ferrigno and L. Mattos
Design and integration of electrical bio-impedance sensing in surgical robotic tools for tissue identification
published pages: , ISSN: , DOI:
8th joint workshop on New Technologies for Computer/Robot Assisted Surgery 2019-06-07
2018 S. Foti, A. Mariani, T. Chupin, D. Dall\'Alba, Z. Cheng, L. Mattos, D. Caldwell, P. Fiorini, E. De Momi and G. Ferrigno
Advanced User Interface for Augmented Information Display on Endoscopic Surgical Images
published pages: , ISSN: , DOI:
8th joint workshop on New Technologies for Computer/Robot Assisted Surgery 2019-06-07
2019 Menegozzo G., Dall\'Alba D., Roberti A., Fiorini P.
Automatic process modeling with time delay neural network based on low-level data
published pages: , ISSN: , DOI:
29th International Conference on Flexible Automation and Intelligent Manufacturing 2019-06-07
2019 Fiorini P., Dall’Alba D., Ginesi M., Maris B., Meli D., Nakawala H., Roberti A., Tagliabue E.
The Challenge of Reaching Autonomy Level 1
published pages: , ISSN: , DOI:
Hamlyn Symposium on Medical Robotics, 2019 2019-06-07
2019 G. Menegozzo, D. Dall’Alba, C. Zandona and P. Fiorini
Surgical Gesture and Error Recognition with Time Delay Neural Network on Kinematic Data
published pages: , ISSN: , DOI:
9th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (2019) 2019-06-07
2019 Nakawala H., Fiorini P.
Toward an ontology for automation in surgery: application to peg-and-ring task
published pages: , ISSN: , DOI:
Hamlyn Symposium on Medical Robotics, 2019 2019-06-07
2018 D. Dall’Alba , Z. Cheng, T. Chupin, S. Foti, E. De Momi, G. Ferrigno, D. Caldwell, L. Mattos and P. Fiorini
EL.I.S.A. : Electric Impedance Sensing for Surgical Applications
published pages: , ISSN: , DOI:
Hamlyn Symposium on Medical Robotics (2018) 2019-06-07
2019 Z. Cheng, D. Dall\'Alba, D. Caldwell, P. Fiorini and L. Mattos
Design and integration of electrical bio-impedance sensing in a bipolar forceps for soft tissue identification: a feasibility study
published pages: , ISSN: , DOI:
XVII International Conference on Electrical Bioimpedance Joinville 2019-06-07
2019 M. Ginesi, D. Meli, A. Calanca, D. Dall’Alba, N. Sansonetto, and P. Fiorini
Dynamic movement primitives: Volumetric obstacle avoidance
published pages: , ISSN: , DOI:
IEEE/RSJ International Conference on Intelligent Robots and Systems 2019 2019-06-07
2019 Nakawala H. C., Pescatori L.E., Bianchi R., De Cobelli O., Ferrigno G., Fiorini P., De Momi E.
Classifying surgical actions of Robot-Assisted Partial Nephrectomy
published pages: , ISSN: , DOI:
Computer-Assisted Radiology and Surgery (2019) 2019-06-07
2019 Dall’Alba D, Tagliabue E, Magnabosco E, Tenga C, Fiorini P
Real-time prediction of breast lesions displacement during Ultrasound scanning using a position-based dynamics approach
published pages: , ISSN: , DOI:
Hamlyn Symposium on Medical Robotics (2019) 2019-08-05
2019 Tagliabue E, Dall’Alba D, Magnabosco E, Tenga C, Fiorini P
Position-based modeling of lesion displacement in Ultrasound guided breast biopsy
published pages: , ISSN: , DOI:
Computer-Assisted Radiology and Surgery (2019) 2019-06-07

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