Laboratorní model delta robota
Laboratory model of delta robot
Typ dokumentu
diplomová prácemaster thesis
Autor
Rodrigo Rafael Pinheiro Pereira
Vedoucí práce
Novák Martin
Oponent práce
Mareš Jan
Studijní obor
Přístrojová a řídicí technikaStudijní program
Strojní inženýrstvíInstituce přidělující hodnost
ústav přístrojové a řídící technikyPráva
A university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.htmlVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html
Metadata
Zobrazit celý záznamAbstrakt
This thesis had the aim to design a delta robot that is able to pick and place objects. The central controller used in this project was an Arduino Mega 2560; this controller is responsible for the movement of the motors. The motors used for this thesis were servo motors. Furthermore, Python and OpenCV were used in order to implement image recognition. With the help of a camera, image recognition was responsible for the shape detection and the position of the objects, where lately this position would be sent as an input to calculate the inverse kinematics. The objects used were circles and rectangles, and they had similar colour and sizes. The inverse kinematics were implemented using the Arduino IDE. As a result, the robot was able to pick and place objects, dening if there is a circle or rectangle and setting it in dierent boxes determined by the shapes. This thesis had the aim to design a delta robot that is able to pick and place objects. The central controller used in this project was an Arduino Mega 2560; this controller is responsible for the movement of the motors. The motors used for this thesis were servo motors. Furthermore, Python and OpenCV were used in order to implement image recognition. With the help of a camera, image recognition was responsible for the shape detection and the position of the objects, where lately this position would be sent as an input to calculate the inverse kinematics. The objects used were circles and rectangles, and they had similar colour and sizes. The inverse kinematics were implemented using the Arduino IDE. As a result, the robot was able to pick and place objects, dening if there is a circle or rectangle and setting it in dierent boxes determined by the shapes.
Kolekce
- Diplomové práce - 12110 [166]