Õppeaine eesmärk on:
- luua eeldused baastasemel oskuste omandamiseks mobiilse platvormi projekteerimiseks ja programmeerimiseks, st
- arendada teadmisi mehhatroonikast, autonoomse süsteemi ülesehitusest ja neis kasutatavatest komponentidest ning algoritmidest;
- arendada praktilisi teadmisi andurite, täiturite ning pardaenergiasalvestite valikuks;
- anda põhiteadmised ja -oskused liidestatud sardsüsteemide kasutamiseks autonoomses süsteemis.

The aim of this course is to:
- create prerequisites for acquiring basic skills for designing and programming a mobile platform;
- develop knowledge in mechatronics, the structure of the autonomous system and the components and algorithms used in them;
- develop practical knowledge for the selection of sensors, actuators and on-board energy recorders;
- provide the basic knowledge and skills for the use of interfacing branch systems in an autonomous system.

Aine läbinud üliõpilane:
- projekteerib ja arendab mobiilse platvormi rakendades teadmisi mehhatroonikast;
- analüüsib põhilisi seoseid mobiilse platvormi alamsüsteemide vahel ning arvestab nendega projekteerimisel;
- programmeerib mobiilse platvormi rakendades teadmisi programmeerimisest.

After completing this course the student:
- designs and develops a mobile platform by applying the knowledge in mechatronics;
- analyzes the basic relationships between subsystems of the mobile platform and takes them into account during design;
- programs the mobile platform by applying the knowledge in programming.

- Mobiilse platvormi põhikomponendid, komponentide ühendusdiagramm.
- Mobiilse platvormi täiturite valimine ning kontroll (DC+ servo).
- Andurite liidestamine monoplaatarvutiga (ultraheli andur, RGB kaamera, IMU, enkooder).
- Mobiilse platvormi programmeerimine Python keele abil.
- Sissejuhatus objektide tuvastamisesse ning joonejälgimsesse RGB kaamera abil.

- Basic components of a mobile platform; Component connection diagram.
- Control of mobile platform actuators (DC+ servo).
- Interfacing sensors with a monoboard computer (ultrasound sensor, RGB camera, IMU, encoder).
- Mobile platform programming using Python.
- Introduction to object detection and line tracking using an RGB camera.

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- The Mechatronics Handbook, Second Ed.: mechatronic systems, sensors, and actuators, R.H.Bishop (Ed.), CRC Press, 2008.
- Handbook of Robotics, Ed. B.Siciliano, O.Khatib, Springer, 2008.
- Applied Deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using deep neural networks and behavior-cloning techniques, S. Ranjan , Dr.
S. Senthamilarasu, Packt Publishing, 2020.

Daniil Valme, doktorant-nooremteadur (EE - elektroenergeetika ja mehhatroonika instituut)