Robotic Endoscope for Laser Osteotomy/End-effector stabilization in minimally invasive surgery

We develop a positioning and stabilization mechanism for the end-effector of an endoscope to enable high precision laser cutting of hard tissue (bone). The stabilization mechanism enhances end-effector control and positioning of the robotic endoscope with respect to the anatomy of interest. This is required since the laser optics, integrated to the endoscope tip has to be positioned and stabilized relative to the cutting surface accurately and precisely in order to enable accurate and precise laser cuts. Several disturbances are present at the endoscope tip such as thrust forces induced by a cooling jet, interactions of the endscope with the surrounding tissue, possible movement of the patient or artefacts from the actuation of the robotic endoscope. All these disturbances should be compensated in order to reach the required mechanical precision and accuracy in the sub-millimeter range.

In this project, we will use novel actuation and automation equipment for rapid prototyping. A bone-attached parallel robotic mechanism is developed to perform high precision bone cutting according to the planned intervention. As a result, we will have a functional prototype of a high accuracy endoscopic laserosteotome.

Project leader: Manuela Eugster

Manuela Eugster

Manuela Eugster

Dr. Nicolas Gerig

Nicolas Gerig

Prof. Dr. Georg Rauter

Prof. Dr. Georg Rauter

M. Eugster, E. Zoller, P. Krenn, S. Blache, N. F. Friederich, M. Müller-Gerbl, P. C. Cattin, and G. Rauter, "Quantitative Evaluation of the Thickness of the Available Manipulation Volume Inside the Knee Joint Capsule for Minimally Invasive Robotic Unicondylar Knee Arthroplasty," in IEEE Transactions on Biomedical Engineering. doi: 10.1109/TBME.2020.3041512

M. Eugster, M. Oliveira Barros, P. C. Cattin, and G. Rauter, "Design Evaluation of a Stabilized, Walking Endoscope Tip,” In New Trends in Medical and Service Robotics (MESROB 2020), vol. 93, pp 127-135, Springer, November 2020.

M. Karnam, M. Eugster, R. Parini, P. C. Cattin, E. De Momi, G. Rauter, and N. Gerig, " Learned Task Space Control to Reduce the Effort in Controlling Redundant Surgical Robots,” In New Trends in Medical and Service Robotics (MESROB 2020), vol. 93, pp 161-168, Springer, November 2020.

M. Karnam, R. Parini, M. Eugster, P. Cattin, G. Rauter, and N. Gerig, “An intuitive interface for null space visualization and control of redundant surgical robots”, In Proceedings on Automation in Medical Engineering (AUTOMED 2020), vol. 1, Infinite Science Publishing, February 2020.

M. Eugster, P. Cattin, A. Zam, and G. Rauter, “A Parallel Robotic Mechanism for the Stabilization and Guidance of an Endoscope Tip in Laser Osteotomy,” In IEEE Conference on Intelligent Robots and Systems (IROS), pp.1306-1311, 2018.

M. Eugster, E. I. Zoller, L. Fasel, P. Cattin, N. F. Friederich, A. Zam, and G. Rauter, “Contact force estimation for minimally invasive robot-assisted Laserosteotomy in the human knee,” In Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (CRAS), vol. 8, pp. 39-40, 2018.

M. Eugster, P. Weber, P. Cattin, A. Zam, G. Kosa, and G. Rauter, “Positioning and stabilization of a minimally invasive laser osteotome,” In Hamlyn Symposium on Medical Robotics, vol. 10, pp. 21-22, 2017.