• LEARN

    Wearable Exoskeletons Based on Multimodal Edge Computing for Daily Life Assistance

  • LEARN

    focuses on assistive devices in the form of wearable robotic systems that can enhance or restore motor functions in healthy workers or patients with motor disabilities.

  • The Goal

    The main goal is to leverage machine learning (ML) as an enabling technology for developing the next generation of such assistive devices.

Project funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.1 – Call for tender No. 1409 published on Sept 14, 2022 by the Italian Ministry of University and Research (MUR) funded by the European Union – NextGenerationEU – Project Title “LEARN – muLtimodal Edge computing-bAsed weaRable exoskeletoNs for assistance in daily life” – CUP: D53D23016190001, D53D23016200001, J53D23014090001 – Grant Assignment Decree No. 1383 adopted on September 01, 2023 by the Italian Ministry of University and Research (MUR).

Prototype of the actuated glove

developed at Scuola Superiore Sant'Anna, Institute of Mechanical Intelligence. The structure is manufactured in soft 3D printed polymers and textiles, hosting the tendon sheaths for supporting finger closure.

Evaluation of the Prototype with a Force-Sensorized Graspable Object

The evaluation of the prototype involves using a graspable object equipped with force sensors to assess the performance and effectiveness of the exoskeleton's grip and control mechanisms.

Second prototype

developed improving wearability of the system. It also adds active assistance in finger opening, a feature required for a large patient population

3D printed

3D printed in Nylon with customized shape Better distribution of forces Tendons are kept closer to the hand palm when activated

3
University
245.657
EUR GRANTS RECEIVED
9
RESEARCH MEMBERS

CLAUDIO LOCONSOLE

Associate Professor

EDOARDO RAGUSA

Assistant Professor

ANTONIO FRISOLI

Full Professor