Tarot T18 Octocopter for Autonomous Water Sampling (MSc Thesis)
OngoingBuilding a heavy-lift UAV platform for autonomous water sampling in maritime research, addressing payload limitations identified in the X500 project.
MSc Mechatronics & Automation · NTNU Ålesund
Robotics & Intelligent Systems Engineer
Building autonomous systems at NTNU's IIR Automation Lab. Specializing in UAV development, embedded systems integration, and machine learning for maritime applications. Expected graduation: May 2026.
Core Technologies
Core competencies developed through academic projects, research at NTNU's IIR Automation Lab, and hands-on engineering work.
Autonomous systems development
Hardware integration & control
Software development
Data science & AI
Design & virtual testing
Perception & localization
Currently expanding knowledge in: Computer Vision, Reinforcement Learning, and Multi-Robot Systems
Highlights from my work in autonomous systems, robotics, and machine learning at NTNU's IIR Automation Lab.
Building a heavy-lift UAV platform for autonomous water sampling in maritime research, addressing payload limitations identified in the X500 project.
Machine learning system for collision risk classification and trajectory prediction achieving 97.54% accuracy on 32.4M AIS records.
Designed, integrated, and implemented an autonomous water sampling payload for the Holybro X500 V2 quadcopter with Pixhawk flight controller and Jetson Orin Nano companion computer.
Developed a comprehensive robot kinematics library implementing forward/inverse kinematics, Jacobian computation, and trajectory planning using screw theory and the Product of Exponentials formula.
Developed the computer vision system for an autonomous mobile robot using YOLOv8 object detection, Intel RealSense depth sensing, and Extended Kalman Filter for cube detection and 3D positioning.
I'm currently looking for opportunities in automation, robotics, and control systems engineering. Let's connect!