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Module guide

Modul RO5800-KP12

Advanced Topics in Robotics (ATRS)

Duration:


2 Semester
Turnus of offer:


each year, can be started in winter or summer semester
Credit points:


12
Course of studies, specific field and terms:
  • Master Robotics and Autonomous Systems 2019 (advanced curriculum), advanced curriculum, 1st or 2nd semester
Classes and lectures:
  • Machine Learning in Medicine (seminar, 2 SWS)
  • Advanced Topics in Robotics (exercise, 1 SWS)
  • Rescue Robotics (exercise, 2 SWS)
  • Rescue Robotics (lecture, 2 SWS)
  • Advanced Topics in Robotics (lecture, 2 SWS)
Workload:
  • 90 Hours work on an individual topic with written and oral presentation or group work
  • 95 Hours private studies
  • 135 Hours in-classroom work
  • 40 Hours exam preparation
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:
Responsible for this module:
Teachers:
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:

Admission requirements for taking the module:
- None (the competencies of the modules listed under competencies)

Letzte Änderung:
18.10.2022