Application deadline

Type of course

Admission requirements

A relevant undergraduate Bachelor Engineering program with minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics

Application code: 9371

Elementary knowledge in topics related to machine- and electrical engineering. Basic programming skills.

Course content

Lecture week 1

• Historical overview: expectations vs. potential of robotics
• Application aspects of industrial robots: utility, safety, economics
• Basic definitions, structure and types of industrial robots
• Actuators, internal sensors, fundamental control concepts
• Interfaces, external sensors, image processing
• Programming approaches, integration into production systems
• Robots in Industry 4.0, human-robot collaboration

Lecture week 2

• Kinematic modeling of robot arms: coordinate transformations, modeling conventions
• Solving forward and inverse kinematic problems
• Inverse kinematic solution with wrist decomposition
• Understanding inverse solution branches, singular configurations
• Inverse kinematics solutions based on geometrical structures
• Numerical solution methods, Jacobian matrix
• Path interpolation, acceleration, deceleration  

Objectives of the course

Introduction to the industrial robot. 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):

• Industrial robots: Structure, applications, role in industry
• Robot kinematics, coordinate frames and Jacobian matrices
• Control systems for motion control
• Robot vision
• Simulation of robots / robotized systems

Skills (S):

• Programming of robot motion

General competence (GC):

• Design and implementation of robot systems 

Language of instruction and examination

Teaching language: English

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

Teaching methods

Assessment

6 exercises are included in the course, 4 practical exercises (robot programming) in lecture week 1, and 2 theory exercises (modeling, calculation) in lecture week 2.

2/3 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.

3-hour written exam accounts for 100% of the grade in the course.

If circumstances do not allow on-site school exams, a digital home exam with the same types of tasks will be held (duration 3 hours + 30 minutes for delivery of answers).

The grading will be done by using an A-F grading scale, where F is a fail.