Hannes - Title


(project ref. number: PR19-PAS-P1)


The Hannes hand prosthesis, available from 2019, is a device capable of reproducing approximately 90% of the functionality of a natural hand.

It allows the user to grasp objects, adapting to the shape and external resistances, making gestures more fluid.

All of this, compared to other similar devices, with a cost of 30% less and higher performance, in terms of versatility, aesthetics and battery life that can last up to a whole day. The integration of the prosthesis in a complete upper limb prosthetic system will soon be available.

Hannes - Photogallery

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Hannes - Features Description

Features and certifications


  • CE marked medical device
  • Thumb attachable in 3 different positions:
    • Fine grip : for small objects, writing, precision operations. For cylindrical objects.
    • Side grip : for thin objects such as cards, keys, etc...
    • Powered grip : for large or heavy objects
  • Sleeping position for a natural look
  • Flexible and rotating wrist
    • Wrist flexion-extension range: +/- 70° 
    • Free movement with 5 fixing positions
  • Motorized wrist rotation:
    • rotation degrees: 0 - 180°
    • extendable on request

Hannes - Publications Patents Description

Publications and patents

IIT Publications List

Marinelli A., Boccardo N., Tessari F., Di Domenico D., Caserta G., Canepa M., Gini G., Barresi G., Laffranchi M., De Michieli L., et al.
Active upper limb prostheses: a review on current state and upcoming breakthroughs
Progress in Biomedical Engineering, vol. 5, (no. 1)
Barresi G., Marinelli A., Caserta G., de Zambotti M., Tessadori J., Angioletti L., Boccardo N., Freddolini M., Mazzanti D., Deshpande N., et al.
Exploring the Embodiment of a Virtual Hand in a Spatially Augmented Respiratory Biofeedback Setting
Frontiers in Neurorobotics, vol. 15
Di Domenico D., Marinelli A., Boccardo N., Semprini M., Lombardi L., Canepa M., Stedman S., Bellingegni A.D., Chiappalone M., Gruppioni E., et al.
Hannes Prosthesis Control Based on Regression Machine Learning Algorithms
IEEE International Conference on Intelligent Robots and Systems, pp. 5997-6002
Marinelli A., Boccardo N., Semprini M., Succi A., Canepa M., Stedman S., Lombardi L., Bellingegni A.D., Chiappalone M., Gruppioni E., et al.
Miniature EMG sensors for prosthetic applications
International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2021-May, pp. 1022-1025

Hannes - Informations Description

Informations and details


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Team Leader: Nicolò Boccardo