Samuel Cerezo

Development of visual SLAM system for AGV navigation Technologies involved: PLC Siemens, CANopen protocol, ROS2, C++ and python software languages

• Designed and implemented sensor fusion pipelines for full state estimation using GPS, IMU, and RGB‑D data. Work included synthetic dataset generation in photorealistic industrial environments and ongoing implementation of real‑time C++ algorithms for visual‑inertial initialization. • Supported by competitive research FPI Grant.

Working on environment 3D reconstruction. Fusing sensors in order to get an improved estimation. - Performing experiments in a KUKA iisy robot - Assistant in hand-guiding user test in a KUKA iiwa robot. - 3D reconstruction in a robot cell using robotic arm and Realsense camera

Designed and deployed IoT-based systems for water transfer in oil wells using Allen Bradley PLCs, achieving a 30% operational cost reduction for the company.

Projects completed: • Automated waste transportation and ash transportation units using Allen Bradley PLCs and Delta HMIs for variable control and monitoring. • Automated a hydraulic press with an Allen Bradley PLC and local LCD screen for variable control and monitoring. • Designed and developed a fault detection system for vibrating screens. Achieved a 15% reduction in operational costs.

Designed and implemented sensor fusion pipelines for full state estimation using GPS, IMU, and RGB‑D data. Work included dataset generation in photorealistic industrial environments and ongoing implementation of real‑time C++ algorithms for visual‑inertial initialization.

Focus on photovoltaic systems and control engineering. Thesis developed in solar energy, withhands‑onexperience in system modeling, power electronics, and automatic control.