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SARAS SIGNED

Smart Autonomous Robotic Assistant Surgeon

Total Cost €

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EC-Contrib. €

0

Partnership

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Project "SARAS" 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]
 Project website http://www.saras-project.eu
 Total cost 4˙225˙831 €
 EC max contribution 4˙225˙831 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI VERONA IT (VERONA) coordinator 663˙418.00
2    UNIVERSITY OF DUNDEE UK (DUNDEE) participant 573˙453.00
3    OXFORD BROOKES UNIVERSITY UK (OXFORD) participant 569˙831.00
4    UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA IT (MODENA) participant 447˙500.00
5    MEDINEERING GMBH DE (MUNCHEN) participant 445˙000.00
6    OSPEDALE SAN RAFFAELE SRL IT (MILANO) participant 432˙500.00
7    UNIVERSITAT POLITECNICA DE CATALUNYA ES (BARCELONA) participant 408˙721.00
8    ACMIT GMBH AT (WIENER NEUSTADT) participant 348˙656.00
9    UNIVERSITA DEGLI STUDI DI FERRARA IT (FERRARA) participant 336˙750.00

Map

 Project objective

Currently during a laparoscopic operation, several units of medical personnel are requested to stay in the operating room for supporting the main surgeon teleoperating the surgical robot. In particular one assistant is always present for taking care of simple surgical procedures (e.g. aspiration of dead tissue after a cut in laparoscopy, moving organs or tissue to make room for cutting or suturing) that the leading surgeon cannot perform with the laparoscopic tools s/he is teleoperating. It is common that an expert surgeon has to play the role of an assistant during an operation led by another surgeon. Furthermore, the assistant is performing critical tasks only for the 30% of the time of the operation and s/he has to stand, waiting, most of the time. Considering the hourly cost of a surgeon, the current practice is very inefficient from an economic point of view but also from a social point of view, leading to unnecessary long waiting lists. The goal of the project is to develop a surgical robotic platform that allows to decrease the number of surgeons necessary for one operation, increasing the social and economic efficiency of a hospital and guaranteeing the same level of safety for the patients. We will focus on laparoscopic surgery, where the surgeon is teleoperating a surgical robot for executing some procedure (e.g. nephrectomy, prostatectomy). The goal of the project is to develop a surgical robotic platform that allows only one surgeon to execute R-MIS operations. SARAS will develop: 1. two assistive robotic arms designed to implement the tasks currently done by the assistant surgeon by holding off-the shelf laparoscopic instruments, 2. a cooperative and cognitive supervisor system able to infer the actual state of the procedure by analysing the information coming from the sensing system and to act accordingly with the surgeon’s needs. Having these technologies available we are in a position to develop a solo surgery system.

 Publications

year authors and title journal last update
List of publications.
2019 Hernansanz, A, Pieras, T, Ferrandiz, L, Moreno,D, Casals, A.
Sentisim: a hybrid training platform for sinb in local melanoma staging
published pages: , ISSN: , DOI: 10.5281/zenodo.3373320
2019-08-29
2019 Albert Hernansanz; R. Martinez; R. Rovira; Alicia Casals
A physical/virtual anatomical platform for hysteroscopy training
published pages: , ISSN: , DOI: 10.5281/zenodo.3373297
1 2019-08-29
2018 Andrea Roberti; Marco Carletti; Francesco Setti; Umberto Castellani; Marco Cristani; Paolo Fiorini
Recognition self-awareness for active object recognition on depth images
published pages: , ISSN: , DOI: 10.5281/zenodo.3362923
2019-08-29
2019 Harkirat S. Behl; Michael Sapienza; Gurkirt Sing; Suman Saha; Fabio Cuzzolin; Philip H. S. Torr
Incremental Tube Construction for Human Action Detection
published pages: , ISSN: , DOI: 10.5281/zenodo.3362933
Proceedings of the British Machine Vision Conference (BMVC), 2018 na 2019-08-29
2018 Gurkirt Singh,; Suman Saha; Fabio Cuzzolin
Predicting action tubes
published pages: , ISSN: , DOI: 10.5281/zenodo.3362942
ECCV 2018 Workshop on Anticipating Human Behaviour (AHB 2018), Munich, Germany, Sep 2018 1 2019-09-02
2019 Harkirat S. Behl; Michael Sapienza; Gurkirt Sing; Suman Saha; Fabio Cuzzolin; Philip H. S. Torr
Incremental Tube Construction for Human Action Detection
published pages: , ISSN: , DOI: 10.5281/zenodo.3362933
Proceedings of the British Machine Vision Conference na 2019-09-02
2018 Gurkirt Singh, Suman Saha and F. Cuzzolin
Predicting action tubes
published pages: , ISSN: , DOI:
ECCV 2018 Workshop on Anticipating Human Behaviour (AHB 2018), Munich, Germany, Sep 2018 2019-07-12
2019 Marco Minelli, Federica Ferraguti, Nicola Piccinelli, Riccardo Muradore, Cristian Secchi
Energy-Shared Two-Layer Approach for Multi-Master-Multi-Slave Bilateral Teleoperation Systems
published pages: , ISSN: , DOI:
The International Conference on Robotics and Automation (ICRA 2019) 2019-09-02
2019 Enrico Sartori, Carlo Tadiello, Cristian Secchi, Riccardo Muradore
Tele-Echography Using a Two-Layer Teleoperation Algorithm with Energy Scaling
published pages: , ISSN: , DOI: 10.5281/zenodo.3362881
Proceedings of the International Conference of Robotics and Automation 2019-09-04

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The information about "SARAS" are provided by the European Opendata Portal: CORDIS opendata.

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