Control mechanism and kinematics in cobots/robots (5 cr)
Code: RO00EH10-3004
General information
Enrollment
04.11.2024 - 17.11.2024
Timing
06.01.2025 - 30.04.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Construction and Energy Engineering
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 50
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Joel Paananen
Teacher in charge
Joel Paananen
Groups
-
ROKV24SPRobotics and artificial intelligence, full-time studies
- 16.01.2025 12:45 - 14:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 23.01.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 30.01.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 06.02.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 13.02.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 18.02.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 06.03.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 13.03.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 20.03.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 27.03.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 01.04.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 10.04.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 17.04.2025 12:45 - 16:30, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 22.04.2025 08:15 - 12:00, Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
- 28.04.2025 12:15 - 16:00, Tentti: Cobottien/robottien ohjausjärjestelmät ja kinematiikka RO00EH10-3004
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?
Opiskelumateriaali
The literature of the course is explained in the opening lecture
Other material is distributed in lectures
Yksilölliset oppimisväylät
You will participate in both in-person and online instruction according to the schedule.
Recognition or demonstration of prior learning: Familiarize yourself with the content and objectives of this course, write a report on other prior learning that corresponds to the course content and objectives. Schedule a meeting with the teacher via email.
TKI ja työelämäyhteistyö
During the course, representatives of working life will visit to give lectures.
Excursions are organized during the course if possible.
Tentit ja muut määräajat
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.
Opiskelijan työmäärä
The average student workload is 135 hours.
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