Dr. Giuseppe Silano, University of Washington, United States
Dr. Giuseppe Silano, a robotics and control expert, earned his Ph.D. in Information Technologies for Engineering from the University of Sannio, Italy, with a focus on path planning, software-in-the-loop, and unmanned aerial vehicles (UAVs). He collaborated internationally as a visiting Ph.D. student at CNRS, France, and is currently a Tenure Researcher at RSE S.p.A., Milan, Italy, and an Associate Researcher at Czech Technical University. Dr. Silanoās work spans motion planning, human-robot collaboration, and multi-robot systems. An open-source contributor, he develops cutting-edge robotics solutions and publishes widely. He is also a licensed drone pilot and an active IEEE member. āļøš”š
Publication Profile
Google Scholar
Education and Academic Journey šš¤
Dr. Giuseppe Silano has a distinguished academic background in engineering and robotics. He earned his Ph.D. in Information Technologies for Engineering from the University of Sannio, Italy, as a Doctor Europaeus, focusing on robotics, control, path planning, and software-in-the-loop, under the guidance of Prof. Dr. Luigi Iannelli. He enhanced his expertise as a visiting Ph.D. student at CNRS, France, researching 6DoF robots with onboard sensors, supervised by Prof. Dr. Antonio Franchi. Dr. Silano also holds an M.Sc. in Electronic Engineering (2016) and a B.Sc. in Computer Engineering (2012) from the University of Sannio, specializing in robotics and control systems. š ļøš”
Professional Affiliation šš¤
Dr. Giuseppe Silano has been an active member of the IEEE (Institute of Electrical and Electronics Engineers) since December 2016. Starting as a Student Member (STā17) and advancing to Member (Mā21), he is associated with the IEEE Control Systems Society (CSS) and the IEEE Robotics and Automation Society (RAS). His involvement in these professional bodies underscores his commitment to advancing research and collaboration in robotics, automation, and control systems. Dr. Silano’s affiliation with IEEE highlights his dedication to staying at the forefront of technological innovation and contributing to the global engineering community. š”š
Professional Experience š¼šØāš»
Dr. Giuseppe Silano has amassed a decade of experience across various technical roles. From 2014 to 2024, he worked as a Technical Writer for leading Italian platforms, including Win Magazine and EOS Book. In 2016, as a Junior Software Engineer at Software Engine S.r.l., he specialized in front-end web development, database management, and debugging, completing key projects like a document management system for Mirabella Eclano, Italy. Earlier, in 2012, as a Control System Integrator at Mosaico Monitoraggio Integrato S.r.l., he designed industrial automation systems, including soda autoclave storage and turbine blade leaching processes, adhering to safety requirements. šāļø
Research Activities š¤š
Dr. Giuseppe Silano’s research spans robotics, control, and UAV systems. He developed motion-planning algorithms for multi-robot systems in civilian infrastructure inspections, emphasizing obstacle avoidance and UAV constraints within the Aerial-Core project. His work on communication-aware robotics enhances robust wireless connectivity for UAVs in challenging environments. Dr. Silano advanced Model Predictive Control (MPC) strategies for collision avoidance and target tracking, and decentralized swarm navigation in UAVs. His studies in autonomous vehicles include MPC-based control for small-scale racing cars. Additionally, he explored human-aerial robot interaction to assist humans in critical tasks while prioritizing safety and ergonomics, contributing extensively to UAV software and simulators. šš»
Teaching and Mentorship Experience šš
Dr. Giuseppe Silano has an extensive teaching background, including leading PhD courses such as “Fundamentals for Robot Programming with ROS” (University of Sannio, 2024). He served as a Teaching Assistant for courses like “Discrete Systems,” “Automatic Control,” and “Advanced Controls” in Computer and Electronics Engineering programs. As a Subject Matter Expert, he contributed to topics like “Sistemi Discreti” and “Controlli Automatici.” Dr. Silano co-supervised innovative research projects under MIT programs and guided numerous Bachelor’s and Master’s theses on UAVs, control systems, and robotics. His mentorship showcases his dedication to fostering technical and academic excellence. āļøš¤
Awards and Achievements šš¤
Dr. Giuseppe Silano has been recognized in prestigious international robotics competitions. He was part of the UNISANNIO team that won the “MathWorks Minidrone Competition” at IFAC 2020 in Berlin, Germany. Additionally, he contributed to the LAAS team, finalists in the “Mohamed Bin Zayed International Robotics Challenge (MBZIRC)” held in Abu Dhabi, UAE. Dr. Silano also showcased his expertise as a finalist in the “Aerial Robotics Control and Perception Challenge” during the 26th Mediterranean Conference on Control and Automation in Zagreb, Croatia. His accolades highlight his excellence in robotics and control systems. šāļø
Research Focus
Dr. Giuseppe Silano specializes in robotics, with a focus on unmanned aerial vehicles (UAVs) for precision agriculture, power line inspections, and multi-robot systems. His work integrates advanced path-planning algorithms, software-in-the-loop platforms, and signal temporal logic for mission planning. Key areas include collision avoidance, perception-aware navigation, and real-world deployment of aerial robotics. Dr. Silano’s contributions extend to drone swarm coordination, non-linear model predictive control, and autonomous target tracking. His research advances UAV applications in environmental monitoring, communication-aware robotics, and physical security optimization, positioning him at the forefront of aerial robotics innovation. š±ā”š
- š¾ “A review on the use of drones for precision agriculture” – Cited by: 212 – Year: 2019
- š “A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture” – Cited by: 66 – Year: 2022
- ā” “Power line inspection tasks with multi-aerial robot systems via signal temporal logic specifications” – Cited by: 60 – Year: 2021
- š ļø “CrazyS: a software-in-the-loop platform for the Crazyflie 2.0 nano-quadcopter” – Cited by: 50 – Year: 2018
- š “MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments” – Cited by: 42 – Year: 2022
- āļø “Software-in-the-loop simulation for improving flight control system design: a quadrotor case study” – Cited by: 37 – Year: 2019
- š¤ “MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems” – Cited by: 33 – Year: 2023
- š§ “CrazyS: A Software-in-the-Loop Simulation Platform for the Crazyflie 2.0 Nano-Quadcopter” – Cited by: 29 – Year: 2019
- š “A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks” – Cited by: 18 – Year: 2021
- š “Mission Planning and Execution in Heterogeneous Teams of Aerial Robots supporting Power Line Inspection Operations” – Cited by: 17 – Year: 2022