Robotics and Precission Techniques

General

• Code: TABO-85-H5
• Semester: 8th
• Study Level: Undergraduate
• Course type: Skills Development
• Teaching and exams language: Greek (English for Erasmus students)
• The course is offered to Erasmus students
• Teaching Methods (Hours/Week): Tutorials (Theory) & practice works (3)
• ECTS Units: 4

Course Contents

• Spatial descriptions.
• Kinematic analysis.
• Dynamic analysis of robotic systems.
• Trajectory description, design and production.
• Control and programming of Robotic Manipulators.
• Types of Autonomous Robots.
• Autonomous robot drive mechanisms.
• Kinematics of autonomous vehicles.
• Introduction to the Robot Operating System.

Educational Goals

The course aims to introduce the student to the basic concepts of Robotics Basic concepts of Robotics, spatial descriptions of a robot’s position/orientation and rotations are described.
The principles of kinematic analysis are presented, both for the forward and inverse kinematic problem. A dynamic analysis of robotic systems is also carried out, as well as an in-depth analysis of the description, design and trajectory production.
Control and programming techniques for robotic operators are presented. At the same time, an introduction to moving robots will be given, presenting the types and mechanisms of movement of autonomous robots and their kinematics.
Finally, there is a laboratory study project with the Kawasaki robotic arm as well as an introduction to the Robot Operating System (ROS).

After attending the course students should:

• They know the basic concepts of Robotics.
• Solve basic kinematic problems.
• To design trajectories of robotic arms.
• Understand the basic principles of animated robots.

General Skills

• Search, analysis and synthesis of data and information, using the necessary technologies.
• Autonomous and Team work.
• Planning and Project Management.
• Promotion of free, creative and inductive thinking.

Teaching Methods

• In the classroom, face to face.

Use of ICT means

• Basic software (windows, word, power point, the web, etc.).
• Support of learning process through the electronic platform / e-class.

Teaching Organization

Students Evaluation

• Final exams 70%
• Essay 30%

Recommended Bibliography

1. Βιβλίο [11768]: Ρομποτική, Δουλγέρη Ζωή.
2. Βιβλίο [94692003]: Ρομποτική, 4η Έκδοση, Εμίρης Δημήτριος, Κουλουριώτης Δημήτριος.
3. Βιβλίο [102075667]: ΨΗΦΙΑΚΗ ΕΠΟΧΗ, ΓΙΑΝΝΗΣ ΤΟΛΙΟΣ Λ.
4. Βιβλίο [112690749]: Εκπαιδευτική Ρομποτική, Τσαγκάρης Απόστολος, Ξανθός Στέλιος, Χατζηκύρκου Μαρία, Καμούτσης Κωνσταντίνος.