152 citations · 308 across the 20 of their papers we have counts for
21 papers
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
HapMorph: A Pneumatic Framework for Multi-Dimensional Haptic Property Rendering
Rui Chen, Domenico Chiaradia, Antonio Frisoli +1
Haptic interfaces that can simultaneously modulate multiple physical properties remain a fundamental challenge in human-robot interaction. Existing systems typically allow the rend…
A Soft Fabric-Based Thermal Haptic Device for VR and Teleoperation
Rui Chen, Domenico Chiaradia, Antonio Frisoli +1
This paper presents a novel fabric-based thermal-haptic interface for virtual reality and teleoperation. It integrates pneumatic actuation and conductive fabric with an innovative…
Searching Neural Architectures for Sensor Nodes on IoT Gateways
Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli +1
This paper presents an automatic method for the design of Neural Networks (NNs) at the edge, enabling Machine Learning (ML) access even in privacy-sensitive Internet of Things (IoT…
User-centered evaluation of the Wearable Walker lower limb exoskeleton, preliminary assessment based on the Experience protocol
Cristian Camardella, Vittorio Lippi, Francesco Porcini +7
Using lower-limbs exoskeletons provides potential advantages in terms of productivity and safety associated with reduced stress. However, complex issues in human-robot interaction…
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor
Andrea Mattia Garavagno, Daniele Leonardis, Antonio Frisoli
The current trend of applying transfer learning from convolutional neural networks (CNNs) trained on large datasets can be an overkill when the target application is a custom and d…
Design and Kinematic Optimization of a Novel Underactuated Robotic Hand Exoskeleton
Mine Sarac, Massimiliano Solazzi, Edoardo Sotgiu +2
This study presents the design and the kinematic optimization of a novel, underactuated, linkage-based robotic hand exoskeleton to assist users in performing grasping tasks. The de…
Design Requirements of Generic Hand Exoskeletons and Survey of Hand Exoskeletons for Rehabilitation, Assistive or Haptic Use
Mine Sarac, Massimiliano Solazzi, Antonio Frisoli
Most current hand exoskeletons have been designed specifically for rehabilitation, assistive or haptic applications to simplify the design requirements. Clinical studies on post-st…
Flexible Disaster Response of Tomorrow -- Final Presentation and Evaluation of the CENTAURO System
Tobias Klamt, Diego Rodriguez, Lorenzo Baccelliere +29
Mobile manipulation robots have high potential to support rescue forces in disaster-response missions. Despite the difficulties imposed by real-world scenarios, robots are promisin…
Remote Mobile Manipulation with the Centauro Robot: Full-body Telepresence and Autonomous Operator Assistance
Tobias Klamt, Max Schwarz, Christian Lenz +21
Solving mobile manipulation tasks in inaccessible and dangerous environments is an important application of robots to support humans. Example domains are construction and maintenan…
Learning Postural Synergies for Categorical Grasping through Shape Space Registration
Diego Rodriguez, Antonio Di Guardo, Antonio Frisoli +1
Every time a person encounters an object with a given degree of familiarity, he/she immediately knows how to grasp it. Adaptation of the movement of the hand according to the objec…