Om dette emnet

The course deals with navigation for autonomous robots. Topics covered include location, path planning, a two-way controller and mapping using SLAM algorithms. In the course, students will use Python together with the framework ROS (Robot Operating System) when they work with robot navigation in simulation and on real robots. In addition to learning basic techniques, students will also gain insight into what is moving on the research front within autonomous navigation.

Dette lærer du

After completing the course, students should be familiar with basic techniques in autonomous navigation, and they should be able to apply what they have learned to real robot systems.

  • Læringsaktiviteter

    Lectures: Concepts are presented and problems are analyzed in plenary

    Computer exercises: presented concepts are practiced on their own through tutorials and programming tasks

    lab exercises: presented concepts are tested on real and simulated robots

  • Læringsstøtte

    • Assistant teachers will guide and support students during practice classes and labs
    • Course room on Canvas

  • Pensum

    Pensumlitteratur kunngjøres ved kursstart.

  • Forutsatte forkunnskaper

    TEL211

  • Anbefalte forkunnskaper

    TEL200

    TEL240

  • Vurderingsordning, hjelpemiddel og eksamen

    Mappevurdering

    Mappevurdering Karakterregel: Bestått/ Ikke bestått

  • Om bruk av KI

  • Sensorordning

    Ekstern sensor kvalitetssikrer pensum, eksamensoppgaver og prinsipper for evaluering og besvarelser.

  • Obligatorisk aktivitet

    Students must have all lab exercises approved. Details are announced at the start of the course. Compulsory activity must be performed in the same year as the exam is taken, ie previously approved compulsory activity is not accepted.

  • Fortrinnsrett

    Anvendt Robotikk

  • Opptakskrav

    Realfag