Locations of visitors to this page

The EMBS Chapter of the IEEE Ottawa Section was recognized as the Best Ottawa Chapter in 2008, 2010, 2014, 2019, and 2022 and received the Outstanding Chapter Award from IEEE EMBS in 2011!

Instrumentation and feedback control in surgical robotics

Photo of Dr. Carlos Rossa

Dr. Carlos Rossa

Associate Professor, Department of Systems and Computer Engineering, Carleton University

October 4, 2021 11:30 - 12:30

This is an online event. The details on how to join the event will be available once you register.

Register at EventBrite


Surgical robotics is the cutting edge of contemporary surgery. It has led to a revolution in medicine since its inception, over 3 decades ago. It now enables surgeons to consider minimally invasive approaches instead of open surgery, and procedures that could not be performed with conventional means. This presentation will cover the principles of robotic surgery, ranging from instrumentation, feedback control, and imaging to real time tissue classification.

The first part of this presentation explores applications of medical robotics in the context of percutaneous nephrolithotomy (PCNL). PCNL is a procedure used to remove large kidney stones from the body when they cannot pass on their own. A tool is inserted through a small incision in the patient’s back to gain access to the kidney and remove the stones. In collaboration with a company specialised in PCNL, we are investigating methods to help surgeons gain proper kidney access and develop their surgical skills by means of robotic assistance.

The second part of this presentation explores instrumentation of surgical needles for tissue discrimination and imaging in the context of brachytherapy cancer treatment. Needles are equipped with sensors to measure the electrical impedance of the tissue at the needle tip and classify the tissue. When several electrode needles are used concurrently, it is possible to create a tomographic image of the tissue by introducing the concept of minimally invasive electrical impedance tomography and delineate tumour margins. Finally, minimally invasive acoustoelectric tomography is explored to improve image resolution.


Carlos Rossa is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University. He received his BEng and MSc degrees in Mechanical Engineering from the Ecole Nationale d'Ingénieurs de Metz, Metz, France, and earned his PhD degree in Mechatronics and Robotics from the Sorbonne Université (UPMC), Paris, France, under the auspices of the Commissariatà l'Energie Atomique. His research interests include medical robotics, image-guided surgery, instrumentation, medical imaging, and haptics. For more information, please visit https://www.biomechatronics.ca/

Last updated November 23, 2021

Printable version