Autonomy for Surgical Robots: Concepts and Paradigms (Invited Paper)

被引:189
作者
Haidegger, Tamas [1 ,2 ,3 ]
机构
[1] Obuda Univ, EKIK, Antal Bejczy Ctr Intelligent Robot, H-1034 Budapest, Hungary
[2] Austrian Ctr Med Innovat & Technol, A-2700 Wiener Neustadt, Austria
[3] Hungarian Acad Sci, H-1051 Budapest, Hungary
来源
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS | 2019年 / 1卷 / 02期
关键词
Computer-integrated surgery; robot standardization; level of autonomy; degree of autonomy; robot-assisted minimally invasive surgery;
D O I
10.1109/TMRB.2019.2913282
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Robot-assisted and computer-integrated surgery provides innovative, minimally invasive solutions to heal complex injuries and diseases. The dominant portion of these surgical interventions has been performed with master-slave teleoperation systems, which are not capable of autonomous task execution or cognitive decision making. Much of the most advanced technologies foundered on the drawing boards or at the research labs for a long time, partially due to the fact that the surgical domain is resistant to the introduction of new hazards via the increased complexity of novel solutions. It has been seen with similar heavily regulated areas that internationally accepted standards can facilitate the adoption of new technologies in a safe manner. This paper reviews the existing autonomous capabilities of surgical robots, and investigates the major barriers of development presented by the lack of autonomy benchmarks and standards. The emerging safety standard environment is presented, as a key enabling factor to the commercialization of autonomous surgical robots. A practical scale is introduced to assess the level of autonomy of current and future surgical robots. Regarding the forthcoming robotic platforms, it is crucial to improve the transparency of the regulatory environment, streamline the standardization framework, and increase the social acceptance.
引用
收藏
页码:65 / 76
页数:12
相关论文
共 80 条
[1]  
Alton L, 2017, HUFFINGTON POST
[2]  
[Anonymous], MED EXPO DEMOCRATIZI
[3]  
[Anonymous], 2017, REP, P1
[4]  
[Anonymous], 2010, P FDA WORKSH MED CAR
[5]   Towards Trusted Autonomous Surgical Robots [J].
Attia, Mohamed ;
Hossny, Mohammed ;
Nahavandi, Saeid ;
Dalvand, Mohsen ;
Asadi, Hamed .
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, :4083-4088
[6]  
Chen S.-Y., 2016, REP, P1
[7]   Software Architecture of the da Vinci Research Kit [J].
Chen, Zihan ;
Deguet, Anton ;
Taylor, Russell H. ;
Kazanzides, Peter .
2017 FIRST IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC), 2017, :180-187
[8]  
Davies B., 1996, COMPUTER INTEGRATED, P287
[9]  
Delvaux M, 2016, 20152103INL EUR PARL
[10]   Machine Learning in Medicine [J].
Deo, Rahul C. .
CIRCULATION, 2015, 132 (20) :1920-1930