Models for force control in telesurgical robot systems

Surgical robotics is one of the most rapidly developing fields within robotics. Besides general motion control issues, control engineers often find it challenging to design robotic telesurgery systems, as these have to deal with complex environmental constrains. The unique behavior of soft tissues requires special approaches in both robot control and system modeling in the case of robotic tissue manipulation. Precise control depends on the appropriate modeling of the interaction between the manipulated tissues and the instruments held by the robotic arm, frequently referred to as the tool–tissue interaction. Due to the nature of the physiological environment, the mechatronics of the systems and the time delays, it is difficult to introduce a universal model or a general modeling approach. This paper gives an overview of the emerging problems in the design and modeling of telesurgical systems, analyzing each component, and introducing the most widely employed models. The arising control problems are reviewed in the frames of master–slave type teleoperation, proposing a novel oft tissue model and providing an overview of the possible control approaches.

[1]  Mark W. Spong,et al.  Bilateral teleoperation: An historical survey , 2006, Autom..

[2]  Tomonori Yamamoto Applying tissue models in teleoperated robot-assisted surgery , 2011 .

[3]  Nele Famaey,et al.  Soft tissue modelling for applications in virtual surgery and surgical robotics , 2008, Computer methods in biomechanics and biomedical engineering.

[4]  Zhiyuan Yan,et al.  A New Hybrid Viscoelastic Soft Tissue Model based on Meshless Method for Haptic Surgical Simulation , 2013, The open biomedical engineering journal.

[5]  Levente Kovács,et al.  Controller Design Solutions for Long Distance Telesurgical Applications , 2011 .

[6]  Levente Kovács,et al.  Fuzzy Control Solution for Telesurgical Applications , 2012 .

[7]  Charles C. MacAdam DEVELOPMENT OF A DRIVER MODEL FOR NEAR/AT-LIMIT VEHICLE HANDLING , 2001 .

[8]  T. J. Higgins,et al.  An Inclusive Classified Bibliography Pertaining to Modeling the Human Operator as an Element in an Automatic Control System , 1966 .

[9]  Allison M. Okamura,et al.  Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review , 2008, PRESENCE: Teleoperators and Virtual Environments.

[10]  Emil M. Petriu,et al.  Experiment-Based Teaching in Advanced Control Engineering , 2011, IEEE Transactions on Education.

[11]  Blake Hannaford,et al.  Plugfest 2009: Global interoperability in Telerobotics and telemedicine , 2010, 2010 IEEE International Conference on Robotics and Automation.

[12]  Mukul Mukherjee,et al.  Accuracy and speed trade‐off in robot‐assisted surgery , 2010, The international journal of medical robotics + computer assisted surgery : MRCAS.

[13]  Chee-Kong Chui,et al.  Modeling and analysis of coagulated liver tissue and its interaction with a scalpel blade , 2013, Medical & Biological Engineering & Computing.

[14]  Chao Liu,et al.  3D force control for robotic-assisted beating heart surgery based on viscoelastic tissue model , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Orcun Goksel,et al.  3D simulation of needle-tissue interaction with application to prostate brachytherapy , 2006, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[16]  David L. Kleinman,et al.  An optimal control model of human response part I: Theory and validation , 1970 .

[17]  Charles C. MacAdam,et al.  Understanding and Modeling the Human Driver , 2003 .

[18]  Blake Hannaford,et al.  Robotic compression of soft tissue , 2012, 2012 IEEE International Conference on Robotics and Automation.

[19]  Imre J. Rudas,et al.  Nonlinear Soft Tissue Models and Force Control for Medical Cyber-Physical Systems , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

[20]  Cagatay Basdogan,et al.  Haptics in minimally invasive surgical simulation and training , 2004, IEEE Computer Graphics and Applications.

[21]  Mahdi Tavakoli,et al.  Haptic Effects of Surgical Teleoperator Flexibility , 2009, Int. J. Robotics Res..

[22]  Chung Kwong Yeung,et al.  Design and Development of a Da Vinci Surgical System Simulator , 2007, 2007 International Conference on Mechatronics and Automation.

[23]  T. Haidegger,et al.  Minimally invasive surgical technologies: Challenges in education and training , 2010 .

[24]  Steven E. Butner,et al.  Transforming a surgical robot for human telesurgery , 2003, IEEE Trans. Robotics Autom..

[25]  Pierre E. Dupont,et al.  Mechanics of Dynamic Needle Insertion into a Biological Material , 2010, IEEE Transactions on Biomedical Engineering.

[26]  József K. Tar,et al.  Applicability of the Maxwell-Kelvin model in soft tissue parameter estimation , 2014, 2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY).

[27]  Claudia-Adina Dragos,et al.  Iterative performance improvement of fuzzy control systems for three tank systems , 2012, Expert Syst. Appl..

[28]  Stefan Preitl,et al.  PI-Fuzzy controllers for integral plants to ensure robust stability , 2007, Inf. Sci..

[29]  Paolo Fiorini,et al.  Current Capabilities and Development Potential in Surgical Robotics , 2015 .

[30]  Tamas Haidegger Surgical Robots: System Development, Assessment, and Clearance , 2012 .

[31]  Levente Kovács,et al.  Stable Hybrid Fuzzy Controller-based Architecture for Robotic Telesurgery Systems , 2014 .

[32]  Kyle B. Reed,et al.  Mechanics of Flexible Needles Robotically Steered through Soft Tissue , 2010, Int. J. Robotics Res..

[33]  G. N. Ornstein The automatic analog determination of human transfer function coefficients , 2006, Medical electronics and biological engineering.

[34]  Gusztáv Fekete,et al.  Approximate Method for Determining the Axis of Finite Rotation of Human Knee Joint , 2014 .

[35]  A. Modjtahedzadeh,et al.  A control theoretic model of driver steering behavior , 1990, IEEE Control Systems Magazine.

[36]  Qiang Huang,et al.  6-DOF Maxillofacial surgical robotic manipulator controlled by Haptic device , 2012, 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

[37]  Stefan Preitl,et al.  Fuzzy controllers for tire slip control in anti-lock braking systems , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

[38]  Levente Kovács,et al.  Cascade Control for Telerobotic Systems Serving Space Medicine , 2011 .

[39]  Nathaniel J Soper,et al.  The fundamentals of laparoscopic surgery: its time has come. , 2008, Bulletin of the American College of Surgeons.

[40]  Peter B. Nagy,et al.  Relative Visibility of the Diagnostic Catheter , 2014 .

[41]  Stefan Preitl,et al.  An extension of tuning relations after symmetrical optimum method for PI and PID controllers , 1999, Autom..

[42]  Levente Kovács,et al.  Time delay compensation by fuzzy control in the case of master-slave telesurgery , 2011, 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI).

[43]  Radu-Emil Precup,et al.  Review of tool-tissue interaction models for robotic surgery applications , 2014, 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

[44]  Levente Kovács,et al.  Simulation and control for telerobots in space medicine , 2012 .

[45]  T. Haidegger,et al.  Surgery in space: the future of robotic telesurgery , 2011, Surgical Endoscopy.

[46]  Stefan Preitl,et al.  Modeling and control aspects of long distance telesurgical applications , 2010, 2010 International Joint Conference on Computational Cybernetics and Technical Informatics.

[47]  Timothy N Judkins,et al.  Augmented reality and haptic interfaces for robot‐assisted surgery , 2012, The international journal of medical robotics + computer assisted surgery : MRCAS.

[48]  Rajni Patel,et al.  Pre‐clinical remote telesurgery trial of a da Vinci telesurgery prototype , 2008, The international journal of medical robotics + computer assisted surgery : MRCAS.