// Robotics & AI Engineer
Gennaro Scarati
Robotics & AI Engineer specializing in autonomous systems, computer vision, and control algorithms. Extensive experience with ROS2, C++, Python and OpenCV.
// Robotics & AI Engineer
Robotics & AI Engineer specializing in autonomous systems, computer vision, and control algorithms. Extensive experience with ROS2, C++, Python and OpenCV.
Robotics and AI Engineer with deep expertise in robotic systems design, ROS/ROS2, and autonomous systems.
I specialize in research and implementation of state-of-the-art robotics technologies including path planning, localization, control systems, and computer vision. My experience spans from academic research to industrial applications, working with leading robotics platforms and managing cross-functional teams to deliver innovative solutions.
Currently working at Eurecat Technology Centre in Barcelona, I lead robotics projects for both private clients and public organizations, including national and European programs. My work involves extensive hands-on experience with collaborative robots (KUKA, Universal Robots), UAVs, computer vision systems, and various mechatronic platforms.
Previously, I developed engine control systems for General Motors vehicles with deployment on 100,000+ vehicles, achieving significant cost savings of €8M+ through advanced machine learning algorithms for fault estimation. I also contributed to an AI startup that raised €3M+ in investments.
Developed and validated precision landing technology for UAVs on moving platforms with centimeter-level accuracy. Complete system design including localization techniques (UWB and custom Kalman Filters), control algorithms, and state machines.
Developed control and diagnostic systems for General Motors vehicles (GMC Sierra and Chevrolet Silverado 2024-2027) with deployment on 100,000+ vehicles. Achieved €8M+ cost savings through machine learning algorithms for fault estimation and Six Sigma optimization.
NLP software that automatically generates concept maps from text, winning first place at Challenge@Polito AI competition. The project contributed to an AI startup that raised over €3M+ in investments.
Research project focused on developing cost-effective robotics solutions for agricultural automation, with emphasis on human-robot interaction and demonstration learning. Accepted for presentation at European Robotics Forum 2025.
Research and implement state-of-the-art robotics and AI solutions. Lead technical teams and manage customer relationships for both private and public projects including national and European programs. Extensive hands-on experience with collaborative robots, UAVs, and computer vision systems.
Developed engine control and diagnostic systems for General Motors vehicles (GMC Sierra and Chevrolet Silverado 2024-2027) with deployment on 100,000+ vehicles. Achieved €8M+ cost savings through machine learning algorithms for fault estimation and Six Sigma optimization.
Developed autonomous UAV landing technology for precise landings on moving platforms, achieving centimeter-level precision in real-world field tests. Complete system design from simulation to implementation including custom localization techniques and control algorithms.
Final grade: 110 with honours/110 (GPA: 4.0/4.0). Won first place at "Challenge@Polito: Artificial Intelligence" with an NLP software application that contributed to an AI startup raising over €3M+ in investments.
Here you find my contact information and my social media profiles.