Stefano Ghidoni
Papers
40
Total Citations
510
H-Index
14
About
Stefano Ghidoni is an Italian robotics researcher whose work spans human-robot interaction, computer vision, and intelligent robotic control systems. He has made significant contributions to the field of skeleton-based human analysis, most notably developing a novel feature-based methodology for people re-identification using skeletal keypoints (72 citations), and later extending this work into a general framework for action and gesture recognition enabling safe human-robot collaboration (41 citations). His research has had considerable impact on Industry 4.0 applications, where he has pioneered machine learning-driven visual servoing (31 citations), force-controlled manipulation of bulky components (28 citations), and deep reinforcement learning for robotic arm training (31 citations). Ghidoni has also contributed practical solutions including a fully automatic hand-eye calibration system and thermographic inspection tools for industrial quality control. Beyond research, he has championed robotics education, advocating for the Robot Operating System (ROS) as a pedagogical standard in computer engineering curricula (25 citations). With over 300 cumulative citations across his key publications, Ghidoni's body of work reflects a consistent commitment to bridging perception, control, and human-centered design in modern collaborative robotics environments.
Research Focus
Key Achievements
Top Papers
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- 4Robotic Arm Control and Task Training Through Deep Reinforcement Learning31 citations · 2022
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- 6Why teach robotics using ROS25 citations · 2014
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- 8Precise Robotic Manipulation of Bulky Components21 citations · 2020
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- 10A fully automatic hand-eye calibration system18 citations · 2017