logo SBA

ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-06262025-150325


Tipo di tesi
Tesi di dottorato di ricerca
Autore
IVANI, ALESSIA SILVIA
URN
etd-06262025-150325
Titolo
Towards Natural Feedback Interfaces for Tactile Restitution
Settore scientifico disciplinare
IINF-04/A - Automatica
Corso di studi
INGEGNERIA DELL'INFORMAZIONE
Relatori
tutor Prof. Bicchi, Antonio
supervisore Dott. Grioli, Giorgio
supervisore Dott. Catalano, Manuel Giuseppe
Parole chiave
  • Haptics
  • Prosthetics
  • Robotics
  • Tactile Sense
  • Upper Limb Prosthetics
  • Wearable Devices
Data inizio appello
30/06/2025
Consultabilità
Non consultabile
Data di rilascio
30/06/2028
Riassunto
Prosthetic users typically depend on sensory feedback from various sources to compensate for the loss of natural sensory inputs. This feedback includes visual cues, proprioceptive signals from residual muscles, and auditory feedback from motor actuation. However, the role of natural vibration transmission through the prosthetic socket as a source of tactile information remains underexplored, especially in non-invasive feedback systems for upper-limb prosthetics. This thesis explores innovative methods to restore and amplify tactile feedback in upper-limb prosthetics, offering a comprehensive analysis of the natural transmission and perception of tactile cues through various prosthetic hands. Key factors, such as degrees of freedom, types of articulation, and material properties, are considered to assess their impact on tactile signals transmission. Building on these insights, the research presents a series of novel tactile feedback devices, each
rigorously designed, characterized, and tested through detailed user trials. The study assesses tactile perception in advanced, soft prosthetic hands and rigid designs, analyzing user performance with and without artificial feedback. The findings show significant advancements in prosthetic efficiency, user embodiment, and intuitiveness. This research underscores the importance of leveraging natural feedback pathways to improve tactile devices for upper-limb prostheses.
File