Course
AMS - Special Aspects of Mobile Autonomous Systems
PDF Course Catalog Deutsche Version: AMS
Version: 1 | Last Change: 02.10.2019 18:24 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
| Long name | Special Aspects of Mobile Autonomous Systems |
|---|---|
| Approving CModule | AMS_MaTIN |
| Responsible |
Prof. Dr. Chunrong Yuan
Professor Fakultät IME |
| Level | Master |
| Semester in the year | winter semester |
| Duration | Semester |
| Hours in self-study | 96 |
| ECTS | 5 |
| Professors |
Prof. Dr. Chunrong Yuan
Professor Fakultät IME |
| Requirements | Capability of software and project development Knowledge of signal processing and mathematics |
| Language | English |
| Separate final exam | Yes |
Literature
Siegwart et.al.: Introduction to autonomous mobile robots, MIT Press, 2010
Final exam
Details
Oral examMinimum standard
At least 50% with correct answersExam Type
Oral examLearning goals
Knowledge
Mobile autonomous systems
Cognitive and behaviour-based robotics
Environmental modelling and spatial cognition
Interaction and navigation
Cognitive and behaviour-based robotics
Environmental modelling and spatial cognition
Interaction and navigation
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Lecture | 2 |
| Tutorial (voluntary) | 0 |
Special literature
keine/none
Special requirements
none
Accompanying material
Lecture slides
Separate exam
none
Learning goals
Skills
Teamwork: Development of autonomous systems with cognitive capabilities and intelligent behaviours.
Such cognitive capabilities include e.g.: Recognize objects with sensors, estimate their locations or movements, make 3D representations and interpretations or build a map of the environment etc.
Intelligent behaviours can be demonstrated among others by such actions: Move and navigate autonomously without collision in unknown environments, fetch or transport objects for a special application, nature interactions and collaborations among human and robots.
Such cognitive capabilities include e.g.: Recognize objects with sensors, estimate their locations or movements, make 3D representations and interpretations or build a map of the environment etc.
Intelligent behaviours can be demonstrated among others by such actions: Move and navigate autonomously without collision in unknown environments, fetch or transport objects for a special application, nature interactions and collaborations among human and robots.
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Project | 1 |
| Tutorial (voluntary) | 0 |
Special literature
keine/none
Special requirements
none
Accompanying material
HW for system development (e.g. sensors, actors, robot systems)
SW for system development (e.g. ROS, OpenCV, simulation software)
SW for system development (e.g. ROS, OpenCV, simulation software)
Separate exam
Exam Type
working on projects assignment with your team e.g. in a lab)Details
Evaluation of the achieved results based on presentations, live demonstrations, discussions as well as documentations in form of texts, source codes, graphic illustrations and video clipsMinimum standard
Presentation of a feasible project idea on the kick-off day and on-schedule delivery, presentation and demonstration of a working system.
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