Control Methods for Robotics Applications

Education facts

Code: 5EL257

This course covers algorithms and methods that are common in control of mechanical systems such as PID control, force control, geometric non-linear control, sliding-mode control, and passivity based control. The course is divided into four parts: 1. Theory, 4.0 ECTS. The theory part aims to broaden the knowledge and significantly enhanced the expertise in control of mechanical systems. 2. Labs, 1.5 ECTS. This part consists of a number of exercises that are designed to increase the understanding of control of mechanical systems. The lab work consists of implementing, applying theory, and to reflect on and interpret results and data. 3. Seminar, 0.5 ECTS. This part consists of critically analyze, present, and evaluate research. The student is also trained in the ability to critically evaluate their own and others' work. Oral presentation feedback is provided through an evaluation matrix. 4. Project, 1.5 ECTS. In this part the student will independently carry out a small project, and work towards project requirements formulated by a client. The client and supervisor of the project may be the same person.

Entry requirements

For admission at least two years full-time university studies are required, including 30 ECTS in the area of Electronics containing Linear Control Systems, 7.5 ECTS and Modeling in Robotics, 7.5 ECTS, as well as 30 ECTS in the area of Mathematics containing Linear Algebra, 7.5 ECTS and Differential equations, 7.5 ECTS, or equivalent. Proficiency in English equivalent to the level required for basic eligibility for higher studies. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Control Methods for Robotics Applications

  Umeå University

  Start date: 31 August 2026

  End date: 1 November 2026

  Pace of study: 50 %