DocumentCode
3185675
Title
Towards automated surgical robotics: A requirements engineering approach
Author
Bonfé, Marcello ; Boriero, Fabrizio ; Dodi, Riccardo ; Fiorini, Paolo ; Morandi, Angelica ; Muradore, Riccardo ; Pasquale, Liliana ; Sanna, Alberto ; Secchi, Cristian
Author_Institution
Eng. Dept. (ENDIF), Univ. of Ferrara, Ferrara, Italy
fYear
2012
fDate
24-27 June 2012
Firstpage
56
Lastpage
61
Abstract
The paper describes a design specification process for the development of novel and intelligent surgical robots. Nowadays, surgical robots are usually controlled by the surgeons manually by using teleoperation. The possibility to carry out simple surgical actions automatically has been the subject of academical research, but very few real-world applications exist. The main objective of this research is to address realistic case studies and develop systems and methods to provide surgeons with autonomous robotic assistants, performing basic surgical actions by combining sensing, dexterity and cognitive capabilities. This goal can only be achieved by means of a formal and rigorous assesment of surgical requirements, so that they can be analysed and translated into behavioral specifications for an autonomous robotic system. Therefore, the paper describes the application of Requirements Engineering to surgical knowledge formalization and propose a methodology for the transformation of requirements into formal models of robotic tasks.
Keywords
control engineering computing; formal verification; medical computing; medical robotics; surgery; automated surgical robotics; autonomous robotic assistants; cognitive capabilities; dexterity capabilities; intelligent surgical robotics; requirements engineering approach; sensing capabilities; specification process; Adaptation models; Humans; Needles; Robot sensing systems; Surgery; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
Conference_Location
Rome
ISSN
2155-1774
Print_ISBN
978-1-4577-1199-2
Type
conf
DOI
10.1109/BioRob.2012.6290700
Filename
6290700
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