Robotics
Course, Master's level, 1TE783
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including Automatic Control I, Electronics I, Applied Mechanics II or Mechanics III, Scientific Computing II, Transform Methods, Linear Algebra II. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 27,500
- Total tuition fee: SEK 27,500
- Application deadline
- 15 April 2026
- Application code
- UU-14300
Admitted or on the waiting list?
- Registration period
- 3 August 2026–30 August 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including Automatic Control I, Electronics I, Applied Mechanics II or Mechanics III, Scientific Computing II, Transform Methods, Linear Algebra II. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 3 August 2026–30 August 2026
- Information on registration from the department
About the course
Overview of problems and applications of robotics. Kinematics and dynamics for robotic arms and mobile robots, variables for describing robotic motion. Common detectors and actuators for robots with an overview of research and development in the area. Communication systems for robots. Programming of robot systems and analysis of robotic control systems. Personal and machine safety. Multiphysical robot simulation tool (Robot studio). Introduction to mobile robots. Motion control. Machine Learning and Artificial Intelligence (AI), especially deterministic AI for governance and planning as well as an introduction to stochastic AI with image analysis and object identification. Positioning and navigation. Seeing and social robots. Presentation skills.
Reading list
No reading list found.