Programplaner og emneplaner - Student
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 TechnologyMaster's Programme in Applied Computer and Information Technology, Elective modules
- Weight
- 10.0 ECTS
- Year of study
- 2023/2024
- Curriculum
-
FALL 2023
- Schedule
- Programme description
- Course history
-
Introduction
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.
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
Examination support material is permitted.
Learning outcomes
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.
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
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.
Course requirements
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.
Assessment
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.
Permitted exam materials and equipment
All aids are permitted, provided the rules for plagiarism and source referencing are complied with.
Grading scale
Grade scale A-F.
Examiners
Two internal examiners. External examiner is used periodically.
Course contact person
Professor Alex Alcocer