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.
A collection of my work in robotics, autonomous systems, and machine learning. Each project represents hands-on experience with real engineering challenges.
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.
Configuration and integration of UWB positioning for GPS-denied navigation.
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.
Developed an intelligent game-playing agent for a Blokus-inspired blocking game using Minimax with Alpha-Beta Pruning, Monte Carlo Tree Search, and game-theoretic optimization strategies.
Trained reinforcement learning agents to control a Quanser QUBE-Servo 2 inverted pendulum using PPO in Isaac Lab, Soft Actor-Critic (SAC), and Q-Learning with custom Furuta pendulum dynamics simulation.
Built a complete computer vision pipeline for detecting and segmenting household products using YOLOv8, Faster R-CNN, and YOLOv8-Seg, including custom dataset creation, model training, and ONNX deployment.
Comprehensive portfolio covering PCB design with NE555 timer circuits, control systems analysis, PLC programming, mechanical engineering calculations, and Python data analysis for weather monitoring.
Designed a modular underwater sampling container system for ROV-based marine research, featuring 3D-printed components, automated robotic assembly, and customizable configurations following Industry 4.0/5.0 and DFAA principles.
Finite element modal analysis of a B&W DM602 S2 loudspeaker enclosure using Siemens NX (SOL103). Successfully shifted the 7th natural frequency above 120 Hz through strategic reinforcement and mass placement.
Designed and prototyped a rotary jig system for comprehensive 3D scanning of fish specimens. This vacation project kickstarted a larger fish research initiative, with the design later modified for actual testing in Tromsø.
Represented NTNU at the 2025 AutoDrone competition in Horten. Migrated the codebase from ROS to ROS2, upgraded hardware from Jetson Orin Nano 4GB to 8GB, and implemented autonomous navigation for competition missions.
Contributed to a web application for skills measurement based on the Talection concept. Primarily worked on frontend development using React, TypeScript, and Vite in a team environment.
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15
Total Projects
14
Completed
1
Ongoing
8
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