Daniele Borzelli
Papers
10
Total Citations
86
H-Index
6
About
Daniele Borzelli is a biomedical and robotics researcher whose work sits at the intersection of neuroscience, electromyography (EMG), and human motor augmentation. His research focuses on understanding how the human neuromuscular system encodes motor commands and how this knowledge can be harnessed to control advanced robotic devices, including supernumerary robotic limbs (SRLs) and EMG-driven exoskeletons. Among his most influential contributions is his exploration of the muscle-to-force null space — the idea that muscles generate activation patterns beyond those strictly needed for task-relevant force production — as a pathway for simultaneously controlling additional robotic limbs without disrupting natural movement. This 2022 study has already garnered 23 citations, underscoring its significance to the motor augmentation community. Borzelli has also made important strides in EMG-based stiffness estimation, developing novel biomechanical models and calibration strategies that simplify real-time impedance control of robotic devices. His work on linear EMG-to-force mapping has further refined how researchers approach redundant musculoskeletal systems. More recently, Borzelli has expanded into assistive robotics for autism therapy, demonstrating impressive breadth. With over 80 total citations across his body of work, he is an emerging voice shaping the future of human-robot interaction and sensorimotor augmentation.
Research Focus
Key Achievements
Top Papers
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- 9A novel model for estimating the endpoint stiffness of a limb4 citations · 2022
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