Name: Batu Kaan Özen
Type: User
Company: Technical University of Munich
Bio: Robotics Engineer:
Computer Vision, Machine Learning, Deep Learning, Reinforcement Learning, Signal Processing, Robotics, and Control Theory.
Location: Munich
Blog: https://www.linkedin.com/in/batu-kaan-%C3%B6zen-309b91141/
Batu Kaan Özen's Projects
For more information, please read the project report
Amyotrophic Lateral Sclerosis (ALS), also known as motor neuron disease, is a disease that does not impair the mental functions of the patient, but gradually loses muscle control. However, the eyelids of the patient do not lose their function for a long time. For this reason, blink communication is a recommended solution for ALS patients. What is desired within the scope of the project is coding around 10 words as blink, resolving the blink message using signal processing techniques and writing on the Raspberry Pi Screen.
Abstract: The main goal of this project is to create four robotic systems that can carry a flag in hurdle area. There are certain criterias supposed to follow are falling flag, collision with obstacle and each robot should find other robots. We are planning to achieve one centred system. This main system consists of one microcontroller, one camera and four robotics devices Each robot will find right direction for carrying the flag to the target robot. Additionally, the basic working principle of this system is to detect robots and obstacles at a certain height with a camera located out of the platform and to establish routes from color selection. With the routes calculated, we will establish a map for carrying the flag to another robot. The technical process of the Project is mainly based on the Image Processing, Embedded Systems, Robotics, artificial Intelligence and Control Systems.
Eye blinking communication for ALS patient
Stepper motor open loop control. Enter the number of cycle.
Tiago Robot Skill learning and hardcode manipulation based on MOVEIT/MOVEBASE/PCL.
Trainable Object Detection system ( part for line following robot with camera)
Uno Card detection system with Image processing and convolutional neural network on SVHN DATASET
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Python implementation of Weber Local Descriptor.