AI in Medical Robotics (AIMedRob)5 ECTS
(englische Bezeichnung: AI in Medical Robotics)

Lehrveranstaltungen:

• • AI in Medical Robotics
    (Vorlesung mit Übung, 4 SWS, Thomas Seel)

Empfohlene Voraussetzungen:

Participants should be familiar with fundamentals of linear algebra. It is advantageous but not required to be have some prior knowledge on linear dynamic systems or basic probability theory.

Inhalt:

This module is concerned with artificial intelligence technologies in medical robotics and with methods that establish different forms of intelligence in medical robotic systems. Participants will become familiar with the design and application of AI methods and algorithms for perception, motor control, planning, cognition and learning and with their application in biorobotic systems and robotic solutions for diagnosis and treatment. Application domains include minimally invasive surgery, motor rehabilitation, exoskeletons and assistive devices, as well as medical service robotics. The taught methods will be applied to application data during designated computer exercises that are integrated into the course.
Topics include, but are not limited to:

• Basic principles and classification of artificial intelligence

• Overview of medical robotic applications for AI methods and technologies

• Perception in robotic surgery, rehabilitation robots and medical service robots

• Motion planning in robotic surgery, rehabilitation robots and medical service robots

• Adaptation and Learning in Human-Robotic Systems

• Motion learning in robotic surgery, rehabilitation robots and medical service robots

• Cognition in robotic surgery, rehabilitation robots and medical service robots

• Application Example: Perception in a robotic surgery system

• Application Example: Motor learning in a compliant upper-limb rehabilitation robot

• Application Example: Locomotion in a medical service robot
  

Lernziele und Kompetenzen:

• Students are able to employ artificial intelligence technologies and methods for applications in medical robotics.

• They are capable of understanding and handling the complexity of biorobotic AI systems and have command of a versatile set of methods for analyzing and further advancing such systems.

• They are able to combine different tools and methods to achieve intelligent perception, planning, control, learning and cognition in robotic solutions for minimally invasive surgery, motor rehabilitation robotics, and medical service robotics.

Literatur:

To be added.

Studien-/Prüfungsleistungen:

AI in Medical Robotics (Prüfungsnummer: 632551)

(englischer Titel: AI in Medical Robotics)

Klausur mit MultipleChoice, Dauer (in Minuten): 60, benotet

weitere Erläuterungen:
Answering the questions requires understanding of the concepts taught throughout the course and the ability to apply these concepts to specific example problems. The exam contains multiple-choice questions. It counts 100% of the course grade. By submitting small homework assignments, up to 20% of bonus points can be obtained, which will be added to the result of the exam.

Prüfungssprache: Englisch

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023

1. Prüfer:

Thomas Seel