Papers
14
Total Citations
154
H-Index
7
About
Mattia Leonori is a robotics researcher whose work sits at the intersection of human-robot collaboration, physical interaction, and assistive robotics. His research spans intelligent collaborative systems, ergonomic learning frameworks, and mobile robotic assistants, with a consistent focus on enabling robots to work safely and intuitively alongside humans in both industrial and healthcare settings. Among his most influential contributions is a human-robot collaborative framework for mixed case palletizing (2020, 48 citations), which integrates visual perception and high-level task optimization to coordinate shared workloads effectively. He has also pioneered ergonomic learning approaches, developing systems that extract collaborative skills from single human demonstrations using Riemannian dynamic movement primitives. His work on MOCA-S introduced whole-body control with low-cost tactile sensing for safer mobile cobots, while his navigation framework for visually impaired users demonstrates a compelling extension of robotic assistance into daily life. Leonori has further contributed open-source tools such as Open-VICO for simulating human-robot collaboration, and has explored supernumerary robotic limbs and walking exo-robots for physical assistance. Collectively accumulating over 130 citations, his body of work reflects a commitment to making collaborative robotics more adaptive, inclusive, and human-centered across manufacturing and assistive domains.
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