TEDU Autonomous Systems Lab
Research on different RL models for efficient singular or swarm autonomous systems.
Current Research Focus
TEDU Autonomous RC Car
Our flagship project combines cutting-edge technologies to create a self-driving RC vehicle capable of navigating complex environments. The car uses deep reinforcement learning for decision making, computer vision for perception, and sensor fusion for robust localization. This project serves as a testbed for our research on efficient singular autonomous systems.
Research Areas
Reinforcement Learning
Efficient RL algorithms for autonomous navigation and decision-making.
Computer Vision
Real-time object detection, tracking, and scene understanding.
Robotics & Hardware
Building robust systems with ROS2, sensors, and edge computing.
Security of Robotic Systems
Adversarial robustness, secure communication, and AI safety.
Our Team
A dedicated team of researchers and engineers working together to push the boundaries of autonomous systems.
Prof. Dr. Tolga Kurtuluş Çapın
Principal Investigator
Umay Şamlı
AI Security & Robotics Researcher
Ahmet Engin Büyükdığan
RL & Sensor Fusion Engineer
Ali Bolat
Team Lead
Deniz Ertuğrul
Mechanical Engineer
Interested in Our Research?
Explore our projects, read our publications, or get in touch to learn more about collaboration opportunities.