Doctoral Degree | 2023 - so far
Master Degree | 2020 - 2022
Thesis Title: Autonomous Landing of a quadrotor on a moving target using integrated sensor
Bachelor's Degree | 2015 - 2020
This letter presents a novel visuo-haptic interface for Mobile Collaborative Robots, integrating detachable mechanisms and Visual-Inertial Odometry for adaptable control modes, offering comparable performance to commercial MoCap systems in a cost-effective, versatile design.
Employing a one-dimensional LiDAR and camera fusion, we achieve precise target localization, utilizing drone altitude, camera view, and IMU data for accurate 3D positioning.
This project leverages comma.ai's dataset and OpenCV's optical flow alongside a CNN trained in TensorFlow, achieving a validation MSE of approximately 7.56 for speed estimation from dashcam footage.
I developed an m-file for system behavior interpretation, including peak detection and settling time determination, followed by fuzzy controller design for PID tuning, showcased in an accompanying video.
Engineered a system for precise ball positioning on a beam, leveraging servo motor, potentiometer feedback, and Arduino-based PID control. Employed Matlab-Simulink for real-time programming and fuzzy control, optimizing performance.