TED University

Autonomous
Systems Lab

We are a research group at TED University working on reinforcement learning for efficient single and swarm autonomous systems. Our work spans reinforcement learning, computer vision, robotics, and the security of robotic systems.

Projects Publications People

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.

Current Project

ActiveStarted 2025-09

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.

Recent Publications

All publications

2025
Deep Reinforcement Learning for Autonomous RC Car Navigation in Dynamic Environments
TED University Autonomous RC Car Team — ResearchGate, 2025

All publications

People

The lab is led by Prof. Dr. Tolga Kurtuluş Çapın (Principal Investigator) and currently consists of 7 members, including graduate and undergraduate researchers.

Meet the team

Contact

Interested in our research or in collaboration? Explore our projects and publications, or read the latest updates on our blog.

AutonomousSystems Lab