Francesco Inglese

Scuola Superiore Sant'Anna, Piaggio (Italy), Piaggio Aerospace (Italy)

Papers

Total Citations

118

H-Index

About

Francesco Inglese is a robotics researcher whose work bridges bioinspired design, human-robot collaboration, and advanced manufacturing. His primary research areas include bioinspired locomotion, collaborative robotics, and computer vision for industrial automation. Inglese’s major contributions are exemplified by his comprehensive review of jumping locomotion strategies, which systematically analyzed how both terrestrial and aquatic animals inspire agile jumping robots—a work that has garnered 59 citations and serves as a foundational reference for the field. He has also advanced human-robot interaction through haptic-based touch detection for collaborative welding applications (47 citations), enhancing safety and precision in industrial settings. In computer vision, Inglese developed MechaTag, a novel mechanical fiducial marker and detection algorithm (6 citations), and created STL_Process, a preprocessor for robot path planning in manufacturing and quality control (6 citations). His notable achievements include developing practical tools that directly address real-world manufacturing challenges, from path planning to collaborative safety. Inglese’s work demonstrates a unique ability to translate biological principles into robotic systems while solving pressing industrial problems, making him a valuable contributor to both academic robotics and applied automation.