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      <header>
        <identifier>oai:figshare.com:article/32993789</identifier>
        <datestamp>2026-05-01T00:00:00Z</datestamp>
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          <dc:title>3D Upper-extremity ExoNET: Improved Passive Exoskeleton for Gravity Compensation and Motor Rehabilitation</dc:title>
          <dc:creator>Pietro Bonato (24399386)</dc:creator>
          <dc:subject>Biomechanics</dc:subject>
          <dc:subject>Rehabilitation Robotics</dc:subject>
          <dc:subject>Exoskeletons</dc:subject>
          <dc:subject>Human–Robot Interaction</dc:subject>
          <dc:subject>Assistive Devices</dc:subject>
          <dc:description>Although passive designs may appear simple, their lightweight, low cost, and user-friendly
configuration make them highly practical for use beyond controlled laboratory settings. Min
imal setup, easy donning and doffing, and low maintenance allow both patients and clinicians
to operate on them with little supervision, promoting wider adoption in home and community
environments. Furthermore, by lowering logistical and technical barriers, passive systems en
courage consistent engagement in therapeutic and functional activities. The Shoulder ExoNET
(Exoskeletal Network for Elastic Torque) is conceived to provide effective gravity compensation
for the upper limb through a fully passive, elastic based mechanism. The theoretical model re
lies on a network of diagonal elastic elements acting as basis functions to generate torque–angle
f
ields that counteract the effects of gravity. Unlike active robotic systems, which although ca
pable of offering effective assistance, costly, and difficult to use outside controlled environments,
Shoulder ExoNET offers a lightweight, modular, and ergonomic solution designed for real world
rehabilitation and daily assistance. Building on an optimization framework that refines key de
sign parameters, the system allows seamless translation from simulation to hardware, ensuring
that parameters such as spring stiffness, anchor geometry, and routing are faithfully imple
mented in the physical prototype. The modular hardware architecture enables patient specific
customization, targeting specific joint movements or workspace regions. Compared to previous
versions limited to sagittal plane operation, the 3D Shoulder ExoNET extends functionality
to multi planar movements and enabled us to directly measure medial deltoid activity; even with preliminary data from a single participant, this allowed us to establish a protocol and
specifically test the effect of the exoskeleton on this muscle. Moreover, the rapid transition
between different hardware configurations makes this exoskeleton highly adaptable and easy
to personalize for different users and tasks, without extensive reassembly. These developments
make this device a practical, wearable platform bridging the gap between laboratory prototypes
and clinically applicable assistive technologies.</dc:description>
          <dc:date>2026-05-01T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
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          <dc:identifier>10.25417/uic.32993789.v1</dc:identifier>
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          <dc:rights>In Copyright</dc:rights>
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