BLH2300 Forsterkning i kunnskapsområdet språk, tekst og matematikk Emneplan

No formal requirements over and above the admission requirements.

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
• have advanced knowledge in modeling kinematics and dynamics of robotic systems
• have 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
• have 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
• can model and analyze kinematic and dynamics of robotic systems
• can apply a number of algorithms and methods in state estimation, navigation, and motion planning
• can 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
• can 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.

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 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 applying 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.

For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

Professor Alex Alcocer

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.

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