Archivio della ricerca della Scuola Superiore Sant'Anna
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    Modifiche tacite della costituzione

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    Tactile Object Recognition With Recurrent Neural Networks Through a Perceptive Soft Gripper

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    Soft robot perception integrates information from distributed, multi-modal sensors, broadening their application to active interaction. Our work introduces recurrent learning models for tactile-based object recognition, demonstrating comparable performance in virtual and real-world scenarios. The work focuses on soft grippers, which facilitate adaptation to objects of varying shapes and sizes thanks to passive finger compliance. Our model successfully identifies over sixteen heterogeneous objects. Findings underscore the significance of sensory multi-modality over single. We highlight how spatial distribution and sensory signal dynamics influence overall estimation accuracy, and what the minimal grasp set is to achieve certain recognition

    Design of High Speed FSO Feeder Links for HAPS based on COTS Components

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    High Altitude Platform Stations (HAPSs) will be key nodes of future Non-Terrestrial Networks (NTNs). As an example, they could provide high-speed wireless connectivity to remote areas, either unserved or in emergency conditions. To establish a high-capacity feeder link (10 Gbit/s or higher) from ground to HAPS, optical solutions are being proposed. Here, we present a design analysis of a link from ground to HAPS, based on Free Space Optics (FSO) with capacity of 10 Gbit/s or 100 Gbit/s, considered as short-term and long-term objectives, respectively. Here the key impairments affecting an optical beam under strong turbulence conditions are investigated, including on-axis scintillation, beam wandering, and pointing errors, along with their impacts on link reliability. The results demonstrate that these communication links can be successfully attained, leveraging upon existing fiber-communication Commercial Off-the-Shelf (COTS) components. A key element will be the realization of very accurate pointing solutions

    Laser‐Induced Graphene from Waste Almond Shells

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    Laser-induced graphene (LIG) is a 3D conductive carbon material typically produced from petroleum-based polymers via a one-step laser-induced pyrolysis in air, without chemicals. Recently, the focus has shifted toward bioderived and biodegradable precursors as potentially sustainable alternatives. Here, this approach is advanced by repurposing almond shells–an abundant raw agricultural by-product–blended with chitosan to form almond shell composites (ASC). ASC exhibits over 60% weight loss after 90 days under soil burial. It serves both as a bioderived substrate for electronics and as a precursor for LIG. ASC is converted into LIG through UV and IR laser scribing, and its structure is thoroughly investigated. ASC-LIG achieves sheet resistance values as low as 114.3 ± 0.9 Ω sq−1 (UV), and an electrochemical impedance modulus |Z| ≈ 1 kΩ at 106 Hz (1 cm2 electrodes). It is implemented in proof-of-concept electronic devices, including circuits with resistive and capacitive elements, and humidity sensors, which show sensitivities of 2.25 ± 0.13 pf%RH−1 (30%–55% RH) and 19.8 ± 2.69 pf%RH−1 (55%–80% RH). These results highlight the potential of upcycling agricultural by-products into functional materials, demonstrating the suitability of ASC-LIG for transient electronic applications such as environmental sensors

    Balancing of interests: Access to asylum in the context of the COVID-19 pandemic

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