Hey, I'm Anas 👋

I'm building robots
that save lives.

I'm a robotics and AI engineer, and I want my work to matter — machines that go where people can't, find survivors, and bring them home. That's the mark I'm trying to leave: technology that saves lives.

Experience

Where the
work happens.

Two TÜBİTAK-funded projects at Fırat University's RAI Laboratory — SLAM pipelines, deep RL navigation and embedded AI, taken from simulation to real hardware. Now continuing with deep RL for multi-robot navigation at ISR-Lisboa.

Our GPS-denied mapping rig — LiDAR, IMU & Jetson

Research Intern — Autonomous Systems

Deep reinforcement learning research on autonomous and multi-robot navigation in Prof. Pedro Lima's group. Part-time and hybrid, alongside my M.Sc.

Robotics & AI Researcher

Integrated a Unitree Go2 quadruped, Velodyne VLP-16 LiDAR, RGB-D camera and Pixhawk onto one Jetson Orin platform, and built ROS 2 LiDAR-inertial odometry and 3D SLAM (RKO-LIO) for GPS-denied zones. Grant 123E406; I first joined the lab as a summer intern in 2024.

Autonomous Navigation System

Secured a national grant and led it end to end: deep reinforcement learning (SAC/PPO) + SLAM on TurtleBot3 and Jetson AGX Orin, with a three-stage curriculum from Gazebo to the real robot. Results published in Applied Sciences.

Drift-Resilient Indoor 3D Mapping in GPS-Denied Environments Using RKO-LIO with Velodyne–Pixhawk Integration in ROS 2

Alqadhi, A. M. N. S., Bajhaw, M. A. M. S., El Muhammed, M., & Ucar, A. (2026).

RKO-LIO fuses Velodyne VLP-16 LiDAR with a Pixhawk IMU on Jetson AGX Orin for drift-resilient indoor 3D mapping in GPS-denied environments — SLAM research with direct applicability to disaster response and defense robotics.

PV-STAM — Velocity-Aware Robot Navigation

A small attention block that lets a deep RL policy see whether obstacles are moving, from a single 2D LiDAR. Published in Applied Sciences and tested in 130 real-robot trials; the code, data and trained policies are public on the RAI Lab GitHub.

ROS2–YOLO–LiDAR Sensor Fusion

YOLO object detection fused with LiDAR depth projection — a distance-aware, multi-sensor perception pipeline built on ROS2.

3D ReMaker — Multifunctional Machine

Converted a broken 3D printer into a 3D printing + laser engraving + paper drawing system — a mechatronics class project.

Projects

Built from first principles.

A published navigation method with open-source code, multi-sensor perception, and a broken 3D printer rebuilt into three machines — taken from simulation to real hardware.

Contact

Let's build something
worth building.

Recruiter, researcher, or just curious about the robots — send me a message on LinkedIn. Based in İstanbul, researching with ISR-Lisboa.