This project aims to introduce students to the world of robotic coding, offering a wide range of training from basic to advanced projects. Participants gain in-depth knowledge in areas such as microcontrollers, sensors, motor control, image processing and artificial intelligence, while developing robotic systems with practical applications. Starting from Arduino to autonomous vehicle algorithms, from IoT integration to future biomimetic robotic systems, this process allows students to create innovative and sustainable solutions.
Our project aims to train future engineers, software developers and innovative leaders by increasing interest in technology. Now let’s examine our subject-by-subject content. Robotic Coding Content Topics (Basic to Advanced)
Bu proje, temelden ileri düzey projelere kadar geniş bir yelpazede eğitim sunarak öğrencileri robotik kodlama dünyasıyla tanıştırmayı amaçlamaktadır. Katılımcılar, pratik uygulamalarla robotik sistemler geliştirirken mikrodenetleyiciler, sensörler, motor kontrolü, görüntü işleme ve yapay zeka gibi alanlarda derinlemesine bilgi sahibi olurlar. Arduino’dan otonom araç algoritmalarına, IoT entegrasyonundan geleceğin biyomimetik robotik sistemlerine kadar uzanan bu süreç, öğrencilerin yenilikçi ve sürdürülebilir çözümler üretmesine olanak sağlıyor.
Projemiz, teknolojiye olan ilgiyi artırarak geleceğin mühendislerini, yazılımcılarını ve yenilikçi liderlerini yetiştirmeyi hedefliyor. Şimdi konu konu içeriğimizi inceleyelim. Robotik Kodlama İçerik Konuları (Temelden İleri Düzeye)
1-Introduction to Robotic Coding : What is a robot? Fundamentals of robotic coding.
2-Introduction to Microcontroller : Introduction of devices such as Arduino, Raspberry Pi.
3-Electronic Components and Sensors : Using basic electronic components and working with sensors.
4-Coding with Arduino : Basic coding techniques on Arduino platform.
5-Motor Control Systems : Servo motor and DC motor control.
6-Sensor Integration : Use of ultrasonic, Lidar and IR sensors in robots.
7-Algorithm Development : Creating basic algorithms for robotic systems.
8-Mobile Robotic Systems : Development of wheeled and tracked robots.
9-Algorithms for Autonomous Vehicles : Line following robots and autonomous motion algorithms.
10-Data Collection and Analysis : Data collection and analysis processes from robotic systems
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11-Artificial Intelligence Based Robotics : Teaching tasks to robots with machine learning.
12-Industrial Robotics Applications : Robotic arms and systems used in factories.
13-Working with ROS (Robot Operating System) : Fundamentals of ROS-based robotic projects. 14-Image Processing and Robotics : Image processing with cameras and robot control.
15-Optimization of Robotic Systems : Software and hardware optimization to increase efficiency.
16-Design and Control of Robotic Arms : Construction and motion control of mechanical arms.
17-IoT Integration for Robots : Connecting robots to the Internet of Things (IoT).
18-Robotic Systems Working in Swarms: Coordination of multi-robot systems.
19-Hybrid Robotic Systems : Robots working with different energy sources.
20-Future Robotics Technologies : Soft robotics and biomimetic systems.