Diego Guffanti
Papers
9
Total Citations
68
H-Index
4
About
Diego Guffanti is a robotics and biomedical engineering researcher whose work sits at the intersection of mobile robotics, human gait analysis, and machine learning. He is best known for developing ROBOGait, a ROS-based mobile robotic platform designed to monitor and analyze human gait in clinical environments — a novel integration that has earned his foundational 2021 papers 18 citations each, signaling strong early impact in the field. Guffanti's research addresses a critical limitation of traditional gait analysis: the restricted walking distances imposed by fixed laboratory setups. By mounting 3D depth cameras onto autonomous robots, he enables continuous, markerless gait assessment across natural corridor environments, making the technology far more accessible for clinical use. To overcome the inherent accuracy limitations of consumer-grade 3D cameras, he has applied supervised learning and artificial neural networks to refine gait measurements, with notable case studies in Multiple Sclerosis patients. Beyond gait analysis, Guffanti has demonstrated broader mechatronic expertise through the design of a dexterous robotic hand for gestural communication, cited 11 times since 2023. His growing body of work positions him as an emerging contributor to rehabilitation robotics and intelligent human movement assessment.
Research Focus
Key Achievements
Top Papers
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- 9Continuous Speech Recognition and Identification of the Speaker System2 citations · 2018