Tesi etd-09012023-155426 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
DEGL'INNOCENTI, GIANMARCO
URN
etd-09012023-155426
Titolo
Progettazione e validazione di un’interfaccia aptica modulare a basso profilo per la telemanipolazione
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Prof. Cappello, Leonardo
correlatore Prof. Controzzi, Marco
controrelatore Prof. Scilingo, Enzo Pasquale
correlatore Prof. Controzzi, Marco
controrelatore Prof. Scilingo, Enzo Pasquale
Parole chiave
- feedback
- haptic
- piezoelectric sensor
- robotic
- soft
- telemanipulation
- testing
- wearable
Data inizio appello
06/10/2023
Consultabilità
Non consultabile
Data di rilascio
06/10/2093
Riassunto
Robotic telemanipulation is a field of robotics concerned with enabling a human operator to control a robot remotely to perform specific tasks. However, providing effective sensory feedback in this application is still an open challenge, as traditional solutions have significant limitations in terms of workspace and size. Haptic feedback in particular has been shown to improve the performance of such systems in terms of completion time, accuracy and force exerted.
This thesis aims at the realization and validation of a sensory feedback system for the telemanipulation of an anthropomorphic robotic hand. The project was divided into two modules. The first module focused on sensing the robotic hand in order to identify contact and release events during the grasping act, using piezoelectric sensors. The second module was devoted to the design of a wearable and soft actuation system to deliver discrete stimulation (DESC) on the user's hand based on sensor signals. The two modules were integrated and tested to evaluate the effectiveness and efficiency of the system.
This thesis aims at the realization and validation of a sensory feedback system for the telemanipulation of an anthropomorphic robotic hand. The project was divided into two modules. The first module focused on sensing the robotic hand in order to identify contact and release events during the grasping act, using piezoelectric sensors. The second module was devoted to the design of a wearable and soft actuation system to deliver discrete stimulation (DESC) on the user's hand based on sensor signals. The two modules were integrated and tested to evaluate the effectiveness and efficiency of the system.
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