Module RO5800-KP12

Duration

2 Semester

Turnus of offer

each year, can be started in winter or summer semester

Credit points

12

Course of studies, specific fields and terms:

• Master Robotics and Autonomous Systems 2019, advanced curriculum, advanced curriculum

Classes and lectures:

• Machine Learning in Medicine (seminar, 2 SWS)
• Rescue Robotics (exercise, 2 SWS)
• Rescue Robotics (lecture, 2 SWS)
• Advanced Topics in Robotics (exercise, 1 SWS)
• Advanced Topics in Robotics (lecture, 2 SWS)

Workload:

• 40 hours exam preparation
• 135 hours in-classroom work
• 95 hours private studies
• 90 hours work on an individual topic with written and oral presentation or group work

Contents of teaching:

• Content of teaching of the course Advanced Topics in Robotics:
• Motion Planning for Robots
• Augmented Reality
• Design of Robot Systems
• Intracorporal Robotics
• Dynamics and Control of Robots
• Content of teaching of the course Rescue Robotics:
• Special requirements for disaster management and response and the resulting consequences on rescue robot design.
• Information structures for rescue systems
• Information exchange between rescue robots
• Command and control systems for search and rescue robots
• Tactical communication for cooperative SAR robot missions as well as interoperability in heterogeneous teams.
• Design guidelines for human interfaces to rescue robots
• Casualty and vital sign detection in rescue scenarios
• Medical assistance at the scene of incident and determination of vital signs
• Evaluation and benchmarking of SAR robots
• Content of teaching of the seminar Machine Learning in Medicine:
• Access to a scientific field
• Work towards a scientific solution to a problem with appropriate methods
• Presentations and discussions in English
• Possible topics: Computer Aided Diagnosis, Gaussian Processes for Sensor Data Analysis, Motion Prediction, Correlation Methods for Motion Estimation, Tissue Thickness Estimation, Sensor Calibration

Qualification-goals/Competencies:

• Educational objectives of the course Advanced Topics in Robotics:
• Students understand the connection to underlying mathematical methods, especially in dynamics, optimization, and sensor data processing and analysis of algorithms.
• Students have an extended overview of application areas for robotics.
• They are able to implement such methods and derive new applications based on such methods.
• Educational objectives of the course Rescue Robotics:
• The students can apply the tools to program and simulate mobile rescue robots. They have developed a good overview about mobile robotics, localization and path planning in difficult scenarios.
• The students have knowledge about the work and command structures of rescue personell and the requirements on control, communcation and interaction of rescue robots with the personnel.
• The students have developed a notion of medical first response by rescue personnel as well as technical solutions to locate missing persons, determine vital signs and realize medical assistance at the scene of incident.
• Educational objectives of the course Seminar Machine Learning in Medicine:
• The students can analyze, develop and evaluate a research topic.
• The students can comprehensibly present research results in written or spoken presentations.
• The students can elaborate on a scientific field in the English language.
• The students can frame a topic within the scientific context.

Grading through:

• written exam, oral exam and/or presentation as announced by the examiner

Requires:

• Robotics (CS2500-KP04, CS2500)

Responsible for this module:

• Prof. Dr.-Ing. Achim Schweikard

Teacher:

• Institute for Robotics and Cognitive Systems
• Prof. Dr.-Ing. Achim Schweikard
• Prof. Dr. rer. nat. Floris Ernst

Literature:

• Achim Schweikard, Floris Ernst : Medical Robotics Springer, 2015, Jocelyne Troccaz (ed.): Medical Robotics, Wiley, 2009
• Tadokoro, Satoshi, ed. : Rescue robotics: DDT project on robots and systems for urban search and rescue. Springer Science & Business Media, 2009. (ISBN: 978-1447157656).
• Siciliano, Bruno, and Oussama Khatib, eds. : Springer handbook of robotics. Springer, 2016. (ISBN: 978-3319325507)

Language:

• offered only in English

Notes:

Last Updated:

20.01.2025