Taught course

Engineering - Robot Systems (Advanced Robotics Technology/Drone Technology)

Institution
University of Southern Denmark · University of Southern Denmark
Qualifications
MSc(Eng)

Entry requirements

A bachelor's degree in Robotics or a similar field of study provided you have the following academic qualifications: Basic knowledge in: software engineering, object oriented programming, analog and digital electronics, VHDL and FPGA, micro processors, hardware and software Basic knowledge in robotics relevant mathematics: numerical methods, differential and integral calculus, linear algebra, probability and statistics, symbolic manipulation on a computer (Mathematica). Additional requirements are found here: http://www.sdu.dk/en/Uddannelse/Kandidat/Robotteknologi/Adgangskrav

Months of entry

September

Course content

The Unmanned aerial systems technology specialization has a constituent part e.g. scientific methodology, fundamental artificial intelligence, image processing, mechanical engineering for aircraft and unmanned aerial system design.

Furthermore the programme relates to five different research areas, which you can read more about below.

Research area: Unmanned aerial systems

  • Flight controllers
  • Aircraft navigation and path planning
  • Ground control systems
  • Payload sensor- and actuator platforms
  • Reliable and redundant safety systems
  • Aircraft software engineering
  • Aviation legislation

Research area: Robotics

  • Kinematics
  • Robot system and automation engineering
  • Motion and task planning
  • Mathematical modelling of industrial systems
  • Computer simulation and animation

Research area: Artificial Intelligence

  • Classic artificial intelligence
  • ”Behaviour-based” artificial intelligence
  • Neural networks
  • Generic algorithms
  • Adaptive robots
  • Bio-inspired robots

Research area: Embedded systems

  • Programmable electronics
  • Hardware/software co-design
  • Hardware-near programming
  • Wireless communication systems (hardware and software)
  • Motor control

Research area: Computer vision

  • Image processing
  • Object recognition
  • Real-time tracing of dynamic objects
  • 3D Kalman filtering

Information for international students

International students can apply for accommodation through the university. Some rooms are on campus, others spreads across the city.

Qualification and course duration

MSc(Eng)

full time
24 months

Course contact details

Name
Dorte Frølund Kromann
Email
dfk@tek.sdu.dk