activity
20182026
most citedDesign Requirements of Generic Hand Exoskeletons and Survey of Hand Exoskeletons for Rehabilitation, Assistive or Haptic Use

152 citations · 308 across the 20 of their papers we have counts for

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Showing 2026Show all

11 papers · 1 filter

cs.LG2026

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop

Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +2

This paper introduces BearingNAS, a Hardware-Aware Neural Architecture Search (HW-NAS) framework designed to shift the intelligence directly onto the sensor die via in-sensor proce…

cs.AI2026

Leveraging systems' non-linearity to tackle the scarcity of data in the design of Intelligent Fault Diagnosis Systems

Giancarlo Santamato, Andrea Mattia Garavagno, Massimiliano Solazzi +1

Deep Transfer Learning (DTL) allows for the efficient building of Intelligent Fault Diagnosis Systems (IFDS). On the other hand, DTL methods still heavily rely on large amounts of…

cs.LG2026★ 17 cited

An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms

Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli +1

Hardware-aware neural architecture search (HW-NAS) allows the integration of Convolutional Neural Networks (CNNs) in microcontrollers devices by automatically designing neural arch…

cs.LG2026★ 1 cited

On-Device Neural Architecture Search

Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +2

This paper proposes a new approach to near-sensor computing, in which a lightweight Neural Architecture Search (NAS) is performed directly on the deployment device to find the best…

cs.AR2026★ 7 cited

Running hardware-aware neural architecture search on embedded devices under 512MB of RAM

Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +1

This document proposes a novel approach to hardware-aware neural architecture search (HW NAS) that considers the resources available on the computing platform running it, enabling…

cs.RO2026

A soft and lightweight fabric-based pneumatic interface for multimodal fingertip tactile feedback

Rui Chen, Daniele Leonardis, Antonio Frisoli

Wearable fingertip haptic devices are critical for realistic interaction in virtual reality, augmented reality, and teleoperation, yet existing approaches struggle to simultaneousl…

cs.RO2026

An Ergonomic, Customizable Soft Robotic Glove toward Personalized Hand Rehabilitation

Rui Chen, Firman Isma Serdana, Domenico Chiaradia +11

Hand impairment following neurological disorders substantially limits independence in activities of daily living, motivating the development of effective assistive and rehabilitati…

cs.RO2026

A wearable haptic device for edge and surface simulation

Rui Chen, Xianlong Mai, Alireza Sanaei +3

Object manipulation is fundamental to virtual reality (VR) applications, yet conventional fingertip haptic devices fail to render certain tactile features relevant for immersive an…

cs.RO2026

Optimal Prioritized Dissipation and Closed-Form Damping Limitation under Actuator Constraints for Haptic Interfaces

Camilla Celli, Andrea Bini, Valerio Novelli +3

In haptics, guaranteeing stability is essential to ensure safe interaction with remote or virtual environments. One of the most relevant methods at the state-of-the-art is the Time…

cs.RO2026

Geometry-based pneumatic actuators for soft robotics

Rui Chen, Daniele Leonardis, Domenico Chiaradia +1

Soft pneumatic actuators enable safe human-machine interaction with lightweight and powerful applied parts. On the other side, they suffer design limitations as regards complex act…

cs.RO2026

Design and Characterization of a Dual-DOF Soft Shoulder Exosuit with Volume-Optimized Pneumatic Actuator

Rui Chen, Domenico Chiaradia, Daniele Leonardis +1

Portable pneumatic systems for 2 degree-of-freedom (DOF) soft shoulder exosuits remain underexplored, and face fundamental trade-offs between torque output and dynamic response tha…