ACIT4820 Applied Robotics and Autonomous Systems Course description

The candidate will write an individual term paper based on the individual term paper draft and the comments by staff and peer-feedback by a co-student. The paper should be of 4000 words (+/- 10 %), plus reference list. The paper must be written in English.

New or postponed examination

Students who fail the exam, may submit an improved term paper for the new exam (maximum two times).

Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet. Students must register for a new or postponed examination.

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.

Examination support material is permitted.

The student should have the following outcomes upon completing the course:

Knowledge:

Upon successful completion of the course, the student should have:

• advanced knowledge on robotic and autonomous systems components and architecture
• advanced knowledge in modeling kinematics and dynamics of robotic systems
• advanced knowledge in common sensor and actuator technologies used in robotics
• have advanced knowledge of algorithms and methods used in state estimation, navigation, and motion planning
• a good understanding of the Robot Operating System (ROS) and software architectures used in robotic and autonomous systems

Skills:

Upon successful completion of the course, the student can:

• analyze a robotic and autonomous systems with regard to its components, architecture, and their purpose
• model and analyze kinematic and dynamics of robotic systems
• apply a number of algorithms and methods in state estimation, navigation, and motion planning
• analyze and implement solutions based on Robot Operating System (ROS)

General competence:

Upon successful completion of the course, the student can:

• discuss the role of robotic and autonomous systems in a number of practical applications
• analyze how robotic and autonomous systems operate and design specific components using ROS and other software tools.

This course will feature weekly lectures and lab work to provide both theoretical and hands- on experience. Students will work in groups and complete assignments given to them. The student will supplement the lectures and lab with their own reading. The students will also work on a individual project.

Target Group

People working, or planning to work, in and with culturally diverse settings. Good command of English and knowledge of academic writing is a prerequisite for participation in the course.

Admission Requirement

Bachelor degree (180 ETCS). Candidates with a bachelor degree from the four partner institutions will be prioritized in the recruitment process.

The assessment will be based on two part-exams:

1) Individual project report (4000-6000 words). The project report counts 80% of the final grade.

2) Individual project presentation (10 minutes). The presentations will be open to public. The oral examination counts 20% of the final grade

Both exams must be passed in order to pass the course.

The oral examination cannot 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.

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

Grade scale A-F.

Two internal examiners. External examiner is used periodically.

Professor Alex Alcocer