Enzo Mastinu — accepted AI-conference papers

2026

Humans Can Use Multimodal Osseoperceptive Sensory Feedback to Enhance Their Sensorimotor Control of a Robotic Hand

Cristian Felipe Blanco-Díaz, Jacopo Quaglierini, Erik Gasparini, Marco Anselmi, Christian Cipriani, Strahinja Dosen +2

RA-L 2026

The somatosensory function is essential for hand motor control, but it is lost following hand amputation. This study explores the potential of osseoperception — auditory and vibrotactile sensations evoked through bone stimulation — to be used as a multimodal supplementary sensory feedback modality f

Cited by 0 Source ↗Scholar ↗

2026

Online Discrete Event Detection for Sensory Feedback Embedded in a Robotic Hand Prosthesis

Tommaso Mori, Daniele D'Accolti, Enzo Mastinu, Christian Cipriani

RA-L 2026

Sensory feedback is deemed as a key aspect for understanding sensory perception, user acceptability and embodiment in upper limb prosthetics. However, despite the several attempts to demonstrate the benefits of sensory feedback in upper limb prosthetics, only few studies presented corroborating resu

Cited by 0 Source ↗Scholar ↗

2023

Online Classification of Transient EMG Patterns for the Control of the Wrist and Hand in a Transradial Prosthesis

Daniele D'Accolti, Francesco Clemente, Andrea Mannini, Enzo Mastinu, Max Ortiz-Catalan, Christian Cipriani

RA-L 2023

Decoding human motor intentions by processing electrophysiological signals is a crucial, yet unsolved, challenge for the development of effective upper limb prostheses. Pattern recognition of continuous myoelectric (EMG) signals represents the state-of-art for multi-DoF prosthesis control. However,

Cited by 19 Source ↗Scholar ↗