Design and development of a Stewart platform assisted and navigated transsphenoidal surgery

Design and development of a Stewart platform assisted and navigated transsphenoidal surgery

In this study, technical details of a Stewart platform (SP) based robotic system as an endoscope positionerand holder for endoscopic transsphenoidal surgery are presented. Inverse and forward kinematics, full dynamics, and theJacobian matrix of the robotic system are derived and simulated in MATLAB/Simulink. The required control structurefor the trajectory and position control of the SP is developed and verified by several experiments. The robotic systemcan be navigated using a six degrees of freedom (DOF) joystick and a haptic device with force feedback. Positionand trajectory control of the SP in the joint space is achieved using a new model-free intelligent PI (iPI) controllerand it is compared with the classical PID (proportional-integral-derivative) controller. Trajectory tracking experimentalresults showed that the tracking performance of iPI is better than that of PID and the total RMSE of the trajectorytracking is decreased by 17.64% using the iPI controller. The validity of the robotic system is proven in the endoscopictranssphenoidal surgery performed on a realistic head model in the laboratory and on a cadaver in the Institute of ForensicMedicine. The key feature of the system developed here is to operate the endoscope via the joystick or haptic devicewith force feedback under iPI control. Usage of this system helps surgeons in long, fatiguing, and complex operations.This system can generate new possibilities for transsphenoidal surgery such as fully automated robotic surgery systems.

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  • [1] Gourin CG, Terris DJ. Robotics in Surgery: History, Current and Future Applications. 1st ed. New York, NY, USA: Nova Science Publishers, 2007.
  • [2] Merlet JP. Parallel Robots. 2nd ed. Berlin, Germany: Springer, 2006.
  • [3] Bozovic V. Medical Robotics. 1st ed. Graz, Austria: I-Tech Education and Publishing, 2008.
  • [4] Barkana DE. Design and implementation of a control architecture for a robot-assisted orthopedic surgery. International Journal of Medical Robotics and Computer Assisted Surgery 2010; 6: 42-56.
  • [5] Díaz I, Gil JJ, Louredo M. A haptic pedal for surgery assistance. Computer Methods and Programs in Biomedicine 2014; 116: 97-104.
  • [6] Hayward V, Astley OR, Cruz-Hernandez M, Grant D, Robles-De La Torre G. Haptic interfaces and devices. Sensor Review 2004; 24: 16-29.
  • [7] Tavakoli M, Patel RV, Moallem M. Haptic interaction in robot-assisted endoscopic surgery: a sensorized end-effector. International Journal of Medical Robotics and Computer Assisted Surgery 2005; 1: 53-63.
  • [8] Ceylan S, Koç K, Anık İ. Endoscopic endonasal transsphenoidal approach for pituitary adenomas invading the cavernous sinus. J Neurosurg 2010; 112: 99-107.
  • [9] Ballester P, Jain Y, Haylett KR, McCloy RF. Comparison of task performance of robotic camera holders EndoAssist and Aesop. International Congress Series 2001; 1230: 1100-1103.
  • [10] Nathan CO, Chakradeo V, Malhotra K, D’Agostino H, Patwardhan R. The voice-controlled robotic assist scope holder AESOP for the endoscopic approach to the sella. Skull Base: An Interdisciplinary Approach 2006; 16: 123-131.
  • [11] Nimsky C, Rachinger J, Iro H, Fahlbusch R. Adaptation of a hexapod-based robotic system for extended endoscopeassisted transsphenoidal skull base surgery. Minimally Invasive Neurosurgery 2004; 47: 41-46.
  • [12] Bumm K, Wurm J, Rachinger J, Dannenmann T, Bohr C, Fahlbuch R, Iro H, Nimsky C. An automated robotic approach with redundant navigation for minimal invasive extended transsphenoidal skull base surgery. Minimally Invasive Neurosurgery 2005; 48: 159-164.
  • [13] Burgner J, Rucker DC, Gilbert HB. A telerobotic system for transnasal surgery. IEEE/ASME Transactions on Mechatronics 2013; 19(3): 996-1006.
  • [14] Chalongwongse S, Suthakorn J. Workspace determination and robot design of a prototyped surgical robotic system based on a cadaveric study in endonasal transsphenoidal surgery. In: 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014); 2014; Bali. pp. 241-246.
  • [15] Huang C, Chang C, Yu M, Fu L. Sliding-mode tracking control of the Stewart platform. In: 5th Asian Control Conference; 20–23 July 2004; Melbourne, Australia. pp. 562-569.
  • [16] Lin J, Chen CW. Computer-aided-symbolic dynamic modeling for Stewart-platform manipulator. Robotica 2009; 27: 331–341.
  • [17] Kizir S, Bingül Z. Fuzzy impedance and force control of a stewart platform. Turkish Journal of Electrical Engineering and Computer Sciences 2014; 22: 924-939.
  • [18] Fliess M, Join C. Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control? In: 15th IFAC Symposium on System Identification; 6–8 July 2009; Saint-Malo, France. pp. 1-62.
  • [19] Agee JT, Kizir S, Bingul Z. Intelligent proportional-integral (iPI) control of a single link flexible joint manipulator. Journal of Vibration and Control 2015; 21: 2273-2288.
  • [20] d’Andréa-Novel B, Fliess M, Join C, Mounier H, Steux B. A mathematical explanation via “intelligent” PID controllers of the strange ubiquity of PIDs. In: 18th Mediterranean Conference on Control Automatation; 2010; Marrakesh, Morocco.
  • [21] Jho HD. Endoscopic transsphenoidal surgery. Journal of Neuro-oncology 2001; 54: 187-195.
  • [22] Cabuk B, Ceylan S, Anik I, Tugasaygi M, Kizir S. A haptic guided robotic system for endoscope positioning and holding. Turkish Neurosurgery 2015; 25: 601-607.