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Student som bläddrar i kurslitteratur. Foto.
The course consists of two main parts, one part on smart sensors used in robotics and automation and the other part on the signal processing of the signals from those sensors.
The first part of the course focuses on the intrinsic and extrinsic physical sensors used for robots and automation. The dynamics of the senor, the sensing principle, transduction mechanism, self-calibration and I/O interfaces of the sensors used in robots will be analysed. The second part of the course focuses on state estimation and sensor fusion. The aim is to get knowledge in how to analyze sensor signals with different levels of uncertainty. These are methods widely used withing automation and robotics, especially mobile (autonomous robots).

FACTS


CYCLE

Second cycle

ENTRY REQUIREMENTS

Degree of Bachelor of Science in computer engineering, electrical engineering, mechanical engineering or Industrial Engineering and Management. Additionally the Bachelor of Science degree must be comprised of a minimum of 5 HE credits in programming. .
General entry requirements and approved result from the following course/courses:
RBK600-Robot Certificate or the equivalent.

PACE OF STUDY

Part-time

TYPE OF INSTRUCTION

On Campus

PROGRAMME/COURSE DATE


SPRING 2024

SPRING 2024

SPRING 2025

SPRING 2025

TEACHING HOURS

Daytime

APPLICATION DEADLINE

16 October 2023

APPLICATION CODE

HV-E1772

START/END

From v.13 2024 to v.22 2024

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