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Introduction to Surgical Robotics

Module IN2292

This Module is offered by TUM Department of Informatics.

This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.

Basic Information

IN2292 is a semester module in English language at Master’s level which is offered in winter semester.

This Module is included in the following catalogues within the study programs in physics.

  • Focus Area Bio-Sensors in M.Sc. Biomedical Engineering and Medical Physics
Total workloadContact hoursCredits (ECTS)
180 h 60 h 6 CP

Content, Learning Outcome and Preconditions


The application-oriented course begins with a presentation of surgical interventions in cooperation with surgeons. State-of-the-art methods and methods with robotic assistance will be presented and compared. Then, background knowledge for surgical robotics is presented. Eventually, the acquired knowledge is applied to develop a solution to an existing clinical problem using robotics assistance.

+ Basics of robotic assistance in several surgical applications (potential, challenges and problem definitions)
+ Introduction to robotics:
++ System
++ Kinematics
++ Dynamics
++ Mechanics
++ Electronics
++ Sensors
++ Control
++ Software-Infrastructure
++ Safety
++ Workflow
++ Calibration and registration
++ User interface
+ Analysis of current surgical techniques and current trends in related domains (e.g. industry, service robotics, automotive). Identification of innovation potential for future applications of robotics in surgery
++ Current surgical techniques
+++ Workflow, time requirements
+++ Data recording, “digital gaps” (monitoring, repeatability)
+++ Tools
+++ Challenges (what makes it a difficult intervention?)
++ Which technologies are mature?
+++ Sensors, medical imaging, actuators, cognition, machine learning
++ Conception and development of new surgical applications using robotic assistance
+++ Estimation of efforts
+++ First steps
+++ Project schedule

Project Assignments (3-4 Assignments in team with 3-5 students each):
++ Brainstorming, description of the surgical intervention and the problem to be solved (product requirements), description of solution to be implemented (functional specification)
++ Draft of project schedule and analysis of feasibility
++ Implementation of a functional model (using simulation, prototyping etc.) and presentation (including a project report – max. 15 pages)

Learning Outcome

Students learn about the foundations of applying robotic technology to surgical applications:
+ Analyzing the pros and cons of the use of robots in existing surgical workflows
+ Fundamentals of modes of operation, compiling requirements, specifying components and integration aspects of systems
+ Conception and modeling of solutions for problems based on technical and algorithmic approaches
+ Definition of a clinical project for enhancing surgical applications by the use of robotics
This class teaches the fundamental skill sets for working in the field of surgical robotics combined with a project to apply the learned approaches.



Courses, Learning and Teaching Methods and Literature

Courses and Schedule

VI 4 Introduction to Surgical Robotics (IN2292) Eck, U. Klodmann, J.
Responsible/Coordination: Navab, N.
Thu, 08:00–12:00, MI 03.13.010
and singular or moved dates

Learning and Teaching Methods

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+ John J. Craig. 1989. Introduction to Robotics: Mechanics and Control (2nd ed.). Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.

+ Hagn, U., Nickl, M., Jörg, S., Tobergte, A., Kübler, B., Passig, G., Gröger, M., Fröhlich, F., Seibold, U., Konietschke, R., Le-Tien, L., Albu-Schäffer, A., Grebenstein, M., Ortmaier, T. & Hirzinger, G. (2008) DLR MiroSurge – towards versatility in surgical robotics. 7. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. Proceedings of CURAC, 2008, pp. 143 – 146.

+ Jacob Rosen; Blake Hannaford; Richard M. Satava (Eds.) (2011) Surgical Robotics – Systems Applications and Visions, Springer, ISBN 978-1-4419-1125-4

Module Exam

Description of exams and course work

Vortrag und Ausarbeitung der Projektarbeit; 3 Hausaufgaben, zu lösen in Teams

Exam Repetition

The exam may be repeated at the end of the semester.

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