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Control mechanism and kinematics in cobots/robots (5 cr)

Code: RO00EH10-3001

General information


Enrollment

08.11.2021 - 21.11.2021

Timing

10.01.2022 - 30.04.2022

Number of ECTS credits allocated

5 op

Virtual portion

2 op

RDI portion

1 op

Mode of delivery

60 % Contact teaching, 40 % Distance learning

Campus

Kouvola Campus

Teaching languages

  • Finnish

Seats

10 - 50

Degree programmes

  • Degree Programme in Robotics and Artificial Intelligence

Teachers

  • Joel Paananen

Teacher in charge

Joel Paananen

Groups

  • ROKV21SP
    Robotics and artificial intelligence, full-time studies

Objective

You understand the principles of robot control systems
You know robot safety regulations as well as standards and principles of cobots
You can determine the sources of robot control errors
You can solve equations related to robot kinematics
You can model simple control systems for different types of robots
You can use simulation to analyze the operation of a robot control system

Content

How does the robot controller work?
What are geometric, non-geometric and sensor errors in robot control?
How is robot kinematics modeled?
How are robot controller and actuators simulated?

Materials

Book: Khatib & Siciliano. 2016. Springer Handbook of Robotics 2nd Edition. Springer International. ISBN 978-3-319-32550-7
Book: Programming Robots with ROS : A Practical Introduction to the Robot Operating System.

Available as e-book from Kaakkuri

Additional: Mastering ROS for Robotics Programming: Discover best practices and troubleshooting solutions when working with ROS

Teaching methods

Work week-based learning pathway: You participate in contact and online teaching as scheduled.

Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.

Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.

Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.

Employer connections

During the course, representatives of working life will visit to give lectures.
Excursions are organized during the course if possible.

Exam schedules

The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.

Student workload

The average student workload is 135 hours.
60 hours of contact teaching.
20-40 hours of independent study of literature.
20-40 hours for assignments and group assignments.
10-20 hours preparing for the exam.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.

Qualifications

Smart hardware in robotics