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About

Filippo Costa is a researcher at the forefront of integrating radiofrequency (RF) sensing with robotics, pioneering new methods for autonomous navigation and precision manipulation. His work centers on developing wireless sensing systems that enable robots to perceive and interact with their environment without relying on traditional vision or complex sensors. Costa’s major contributions include the design of RF guidance systems for path-following autonomous guided vehicles (AGVs) in industrial settings, as well as novel pre-touch sensing techniques that allow robotic hands to detect the orientation of non-metallic objects before grasping them. His most cited paper, "Radio-Frequency Guidance System for Path-Following Industrial Autonomous Guided Vehicles" (2022), has garnered 9 citations and demonstrates a practical solution for improving efficiency in industrial automation. Building on this, his subsequent studies—such as "Wireless Sensor for Precision Grasping of Objects and Tools by Robotic Hands" (2022, 6 citations) and "3D Printed Radiofrequency Sensing System For Robotic Applications" (2023, 4 citations)—showcase the use of printed resonators and custom antennas to localize robotic hands on surfaces. Costa’s innovative approach, which combines RF probes with passive tags, offers a low-cost, robust alternative for precise robotic control, with potential applications in manufacturing, assembly, and collaborative robotics.