autumn 2025
INE-3601 Robotics and Advanced Manufacturing Systems - 5 ECTS

Type of course

The course can be taken as a single course.

Admission requirements

Bachelor degree in Engineering program in mechanical, electrical power, electronics, mechatronics, material science, industrial engineering, process engineering or other equivalent majors.

In addition, the following requirements must be met:

-minimum 25 ECTS in mathematics (equivalent to Mathematical Methods 1, 2 og 3), 5 ECTS in statistics and 7,5 ECTS i physics on a higher level is required.

Application code: 9371


Course overlap

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

STE6210 Robotics in Manufacturing Systems 5 ects

Course content

  • Kinematic modeling, coordinate transformations, modeling conventions
  • Forward Kinematics
  • Inverse kinematics
  • Path generation
  • Acceleration and speed calculations
  • Other acceleration principles
  • Basic definitions, structure and types of robots
  • Actuators, sensors, fundamental control concepts
  • Programming approaches, integration into production systems
  • Offline programming
  • Application aspects of robots (Industrial robots, Cobots and Service robots)

Objectives of the course

Introduction to the Industrial robot, the Cobot and some aspects of Service robots. Design of robots and their industrial applications. Technical, economic, and organizational issues related to the implementation of robotics in advanced flexible manufacturing systems.

Knowledge (K):

  • Robots: Structure, applications, role in industry and society
  • Robot kinematics, coordinate frames and path generation
  • Control systems and programming principles

Skills (S):

  • Design and programming of robots

General competence (GC):

  • Applying robots in advanced manufacturing systems
  • Industry 4.0- 5.0 advanced manufacturing systems

Language of instruction and examination

Teaching language: English

Examination language: English. Answers are also accepted in Norwegian.


Teaching methods

Lectures until noon and practical exercises in the afternoon. If distance learning is mandated by current circumstances, lectures will be held remotely, and instruction videos and datasets will be available for the exercises.

Information to incoming exchange students

This course is open for inbound exchange student who meets the admission requirements. Please see the Admission requirements "section".

Master Level

Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: https://en.uit.no/education/art?p_document_id=510412.


Schedule

Examination

Examination: Duration: Grade scale:
Oral exam 1 Hours A–E, fail F

Coursework requirements:

To take an examination, the student must have passed the following coursework requirements:

Exersizes Approved – not approved
UiT Exams homepage

More info about the coursework requirements

7 exercises are included in the course, where 5 (freely selected) of the exercises are mandatory.

Exercises are performed individually or as project work by student teams. Students attending the practical exercises on-site can deliver exercise reports as a team. Students attending via distance learning are required to elaborate exercise reports individually.


More info about the oral exam

Oral examination: Based on a time schedule each candidate will have a 60 minute oral examination. Candidate no."1" will draw a set of question to be discussed during his/her examination. Candidate no. "2" will enter the examination immediately after Candidate no 1. and will have to answer the same questions as candidate no "1". Candidate no. "3" make a new draw of questions for him/her and the next candidate to arrive etc.

Re-sit examination

Students who do not pass the previous ordinary examination can gain access to a re-sit examination.
  • About the course
  • Campus: Narvik |
  • ECTS: 5
  • Course code: INE-3601
  • Tidligere år og semester for dette emnet