Davide Chiaravalli
University of Bologna, University of Modena and Reggio Emilia
Papers
11
Total Citations
161
H-Index
8
About
Davide Chiaravalli is a robotics researcher whose work sits at the intersection of industrial automation, human-robot interaction, and intelligent manipulation. His primary research areas include autonomous depalletizing systems, robotic teleoperation, and assistive robotics, with a strong emphasis on integrating advanced perception and control strategies. Chiaravalli’s major contributions include developing a mobile manipulation platform that combines multi-camera vision and admittance control for autonomous warehouse depalletizing, a system that has garnered over 57 citations across two key papers. He has also made significant strides in sloshing suppression for liquid handling tasks, introducing a plug-in feed-forward control that enhances safety in teleoperation. Notably, his work on sEMG-based human-in-the-loop control for elbow assistive robots has accumulated 21 citations, demonstrating its impact on physical task assistance and muscle strength training. Additionally, Chiaravalli has advanced robot programming by demonstration by incorporating user hand stiffness estimation from sEMG signals, a novel approach that has been cited 18 times. His research, totaling over 150 citations, reflects a commitment to making robots more adaptable, intuitive, and effective in both industrial and assistive contexts.
Research Focus
Key Achievements
Top Papers
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