Daniele Bibbo
Papers
5
Total Citations
29
H-Index
3
About
Daniele Bibbo is a leading researcher at the intersection of human factors engineering and collaborative robotics, with a primary focus on quantifying biomechanical risk and postural stability in human-robot collaboration (HRC) within Industry 4.0 environments. His work is distinguished by a rigorous quantitative methodology to assess how varying levels of human-robot interaction impact worker safety and ergonomics. Bibbo’s most cited paper (2024, 14 citations) establishes a framework for evaluating human factors in collaborative robotics, while his experimental studies reveal how different collaboration modalities—such as sequential versus synchronous tasks—trigger distinct modifications in trunk oscillations and muscle activity. Notably, his research demonstrates that cobots can enhance postural control and reduce biomechanical strain, directly informing safer workplace designs. Beyond industrial applications, Bibbo has contributed to rehabilitation robotics, developing a haptic platform (2016) to measure fine upper-limb movement regularity for motor learning. With a growing citation record and a clear focus on translating physiological data into actionable ergonomic insights, Bibbo’s work is essential reading for engineers and researchers seeking to optimize human-robot collaboration for both productivity and worker well-being.
Research Focus
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Top Papers
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