IELET2107

Robotics and machine vision

Autumn

Trondheim

Norwegian

Overview

35 candidates

Average grade

B

4.06

0.68

Pass rate

100%

same

Grade distribution
Average over time
Pass rate over time

About this course

Content

The course covers a selection of the following topics:

  • Introduction to robotics, with emphasis on industrial robot manipulators
  • Rotations and rigid-body motion
  • Kinematics and dynamics
  • Joint and force control
  • Motion planning and navigation
  • Introduction to machine vision, with emphasis on robotics-relevant applications
  • Basic introduction to ROS (Robot Operating System)
  • Other topics may occur

Learning outcomes

Knowledge: The candidate can explain

  • the structure and purpose of industrial robots
  • the term kinematics in the context of robotics
  • the purpose of and the general functionality of ROS
  • the role of motion planning in robotic operations
  • the functioning and application of machine vision

Skills: The candidates can

  • outline the design of industrial robot workstations.
  • calculate position and speed of a general robot manipulator.
  • solve the inverse kinematics problem for specific robot manipulators.
  • Generate smooth movements for robot manipulators and implement them in software.
  • use machine vision to estimate the position of objects.
  • program simple grasping tasks for robot manipulators
  • program robot manipulators using Robot Operating System (ROS)

General competence: The candidate wields a combination of theoretical and practical skills within the subject area, providing a base for solving practical problems in a professional setting - and for further education within the subject area.

Digitization: The course contributes by the candidate being able to use modern computer tools as an aid in all the mentioned skills

Teaching methods

Lectures, home exercises, laboratory assignments