EPN-V2

ACIT4820 Applied Robotics and Autonomous Systems Course description

Course name in Norwegian
Applied Robotics and Autonomous Systems
Study programme
Master's Programme in Applied Computer and Information Technology
Master's Programme in Applied Computer and Information Technology, Elective modules
Weight
10.0 ECTS
Year of study
2024/2025
Curriculum
FALL 2024
Schedule
Course history

Introduction

The participants are expected to know linear algebra, basic functional analysis, and basic concepts in probability theory.

Recommended preliminary courses

Knowledge of linear algebra, vector calculus and basic statistics and probability. Knowledge of programming in python and basic introductory course on control or dynamical systems is recommended.

Required preliminary courses

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student:

  • has thorough knowledge of writing in research processes
  • has advanced knowledge of forums and channels in which research results are published
  • has an introductory knowledge of the philosophy of science related to falsificationism, paradigms and research programs
  • has thorough knowledge of the ethical basis for professional codes of conduct
  • has advanced knowledge of writing styles related to research
  • has thorough knowledge of structural templates for essay texts
  • has thorough knowledge of the Toulmin model and its applications

Skills

On successful completion of this course the student:

  • can find research literature in literature databases
  • can analyse and critically evaluate various information sources
  • can write summaries using his/her own words
  • can use electronic reference tools
  • can identify the research method used in a scientific text
  • can explain the application of a research method in a research project
  • can organize research literature in such a way as to identify patterns and commonalities
  • can communicate a research-related topic using digital media
  • can write texts using classic style

General competence

On successful completion of this course the student:

  • can reflect and discuss plagiarism
  • has a thorough knowledge of responsibility for author and co-authorship in accordance with the Vancouver Convention

Learning outcomes

All modules will be taught as lectures / seminars with assignments for students. Throughout the course, students will work on an individual essay from their own specialization topic. The essay will contain:

  • a literature survey
  • a discussion on the methods applied by the researchers in the material reviewed in their survey
  • a discussion on the ethical challenges related their topic both with regard to the research applied and relative to uses in society

The essay will give the opportunity for the student to tie together all modules in this course into a cohesive document.

Content

Topics covered in this course:

  • Configuration space
  • Rigid body motions
  • Robot forward kinematics
  • Velocity kinematics and statics
  • Inverse kinematics
  • Robotics sensors and actuators
  • Navigation, state estimation and filtering algorithms
  • Motion planning
  • ROS Robot Operating System

Teaching and learning methods

The following required coursework must be approved before the student can take the exam:

Two mandatory assignments:

  • One recorded presentation of between 5 and 10 minutes.
  • A spreadsheet containing results of a research survey including columns for relevant meta-information with at least 7 relevant research papers

Course requirements

Written individual essay of between 5500 and 6500 words.

The exam can be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

Assessment

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

Permitted exam materials and equipment

Grade scale A-F.

Grading scale

Two internal examiners. External examiner is used periodically.

Examiners

Associate Professor Kyrre Begnum

Course contact person

The course will guide the student through a series of topics related to research and how research is communicated. The topics range from debate and rhetoric, philosophy of science, writing genres, narrative templates to professional ethics and plagiarism.

Throughout the course, the student will also search for and collect research literature on a topic of their own chosing. This literature will be organized and categorized in such a way that it allows the students to look for patterns and commonalities. The literature will also form the backbone of a popular science essay, which the student works on throughout the course.

The weeks are organized so that the students own search for material is combined with relevant topics and training on how to read, understand and summarize it. Towards the end of the course, more emphasis will be on writing and communication, where the students will look for ways to best communicate their findings. Each student will record a video presentation of their chosen topic in order to test the outline of their essay.

The role of the expert, either as a professional expert or a researcher in academia, will be discussed at several points in the course. In addition, we look at the interplay between the public and the impact technology has on society.