Laboratory model of delta robot
Laboratorní model delta robota
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České vysoké učení technické v Praze
Czech Technical University in Prague
Czech Technical University in Prague
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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.
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.
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A university thesis is a work protected by the Copyright Act of the Czech Republic. 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.
Vysokoškolská 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 v platném znění.
Vysokoškolská 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 v platném znění.