Course syllabus - Robotic Systems
Scope
7.5 credits
Course code
DVA272
Valid from
Autumn semester 2024
Education level
First cycle
Progressive Specialisation
G1F (First cycle, has less than 60 credits in first-cycle course/s as entry requirements).
Main area(s)
Computer Science
School
School of Innovation, Design and Engineering
Ratified
2024-01-18
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Miscellaneous
Kursen innehåller ingen specifik litteratur. Ev tillkommer material som tillhandahålls via Canvas.
Objectives
The course will provide in-depth knowledge of some of the fundamentals of robotics, "Sense, Plan and Act". The course aims to provide the student with a good understanding and familiarity with of some of the commonly used tools used to simulate, model and visualize robots in software and then apply their knowledge in practice through the development of their own robot system.
Learning outcomes
After completing the course, the student shall be able to:
1. use operating systems and control systems for robots, at a basic level,
2. be able to use simulation environments as tools in the development process for a robot, at a basic level,
3. develop and implement sensor solutions for robotics systems,
4. develop and implement software for simple autonomous decision-making,
5. develop and implement the action of a robot with safety in mind and
6. explain the structure of a robot system orally, in writing and through block diagrams in a concise and informative way.
Course content
Design and develop robots and their subsystems. "Sense Plan Act". Multithreaded programming, inter-process communications and scheduling in embedded systems. Programming and implementation of sensor solutions, sensor fusion and sensordata-based decision making. Introduction to commonly occurring hardware in robotics platforms for the collection of sensor data or to interact with the environment. Working with robotic systems and robotic simulation software.
Specific requirements
Programming of Embedded Systems 7.5 credits, Electronic Systems 7.5 credits, Measurement Technique 7.5 credits, Architecture and Communication for Embedded Systems 7.5 credits, Electrical Measurement Systems 7.5 credits or equivalent.
Examination
Laboratory work (LAB1), 1,5 credits, examines the learning outcomes 1-2, marks Fail (U) or Pass (G).
Laboratory work (LAB2), 1,5 credits, examines the learning outcomes 3-4, marks Fail (U) or Pass (G).
Laboratory work (LAB3), 1,5 credits, examines the learning outcomes 4-5, marks Fail (U) or Pass (G).
Project (PRO1), 3 credits, examines the learning outcomes 1-6, marks Fail (U), 3, 4 or 5.
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail
Interim Regulations and Other Regulations
The course overlaps with 2,5 credits with DVA315 Operating Systems.