2025

  1. Polo, E.M., Simeone, D., Mollura, M., Paglialonga, A., & Barbieri, R. (2025). An adaptive protocol to assess physiological responses as a function of task demand in speech-in-noise testing. Journal of Neuroscience Methods, 415, 110348. https://doi.org/10.1016/j.jneumeth.2024.110348
  2. Santangelo, G., Nicora, G., Bellazzi, R., & Dagliati, A. (2025). How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data. BMC Medical Informatics and Decision Making, 25(1). https://doi.org/10.1186/s12911-024-02731-9
  3. Grasselli, S., Di Lisa, D., Ferrari, P.F., Martinoia, S., & Pastorino, L. (2025). Chitosan suitability to adhesion, neuronal differentiation and maturation of hiPSCs compared to Matrigel coated substrates. Carbohydrate Polymer Technologies and Applications,  9, 100686. https://doi.org/10.1016/j.carpta.2025.100686
  4. Marion, G., Gao, F., Gold, B.P., Di Liberto, G.M., & Shamma, S. (2025). IDyOMpy: A new Python-based model for the statistical analysis of musical expectations. Journal of Neuroscience Methods, 415, 110347.  https://doi.org/10.1016/j.jneumeth.2024.110347
  5. Guerrini, A., Siotto, M., Cocco, C., Germanotta, M., Cipollini, V., Cortellini, L., Pavan, A., Lattanzi, S., Insalaco, S., Khazrai, Y.M., & Aprile, I. G. (2025). Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation. Scientific Reports,15(1). https://doi.org/10.1038/s41598-024-84968-y
  6. Monciatti, A.M., Lapini, M., Gemignani, J., Frediani, G., & Carpi, F. (2025). Unpleasant odors compared to pleasant ones cause higher cortical activations detectable by fNIRS and observable mostly in females. APL Bioengineering, 9(1). https://doi.org/10.1063/5.0231217
  7. Carnevale, A., Raso, A., Antonacci, C., Mancini, L., Corradini, A., Ceccaroli, A., Casciaro, C., Candela, V., de Sire, A., D’Hooghe, P., & Longo, U.G. (2025). Exploring the Impact of Socially Assistive Robots in Rehabilitation Scenarios. Bioengineering, 12(2), 204.  https://doi.org/10.3390/bioengineering12020204
  8. Suarato, G., Marrella, A., Tommasini, A., Fiocchi, S., Chiaramello, E., Parazzini, M., & Ravazzani, P. (2025). Multi‐Scale Modeling of a 3D Soft Magnetoelectric Patch for Wireless Nerve Stimulation. Advanced Materials Interfaces. https://doi.org/10.1002/admi.202400471
  9. Lenzuni, M., Giannoni, P., Chiaramello, E., Fiocchi, S., Suarato, G., Ravazzani, P., & Marrella, A. (2025). Multiphysics analysis of the dual role of magnetoelectric nanoparticles in a microvascular environment: from magnetic targeting to electrical activation. Frontiers in Bioengineering and Biotechnology, 12. https://doi.org/10.3389/fbioe.2024.1467328
  10. Lemma, E.D., Ranieri, V., Coricciati, C., Bucciarelli, A., Fontana, D., Mozetic, P., Trombetta, M., Gigli, G., & Rainer, A. (2025). Microextrusion-based 3D printing for the free-shape deposition of functional cellulose-based electronic materials. Cellulose. https://doi.org/10.1007/s10570-025-06427-9
  11. Grasso, G., Scarfiello, R., Colella, F., Onesto, V., Forciniti, S., Gigli, G., Carbone, L., & del Mercato, L.L. (2025). Ratiometric fluorescent biosensors for quantitative lactic acid detection using CdTe@CdS quantum dots and lactate oxidase. Sensors and Actuators Reports, 9, 100303. https://doi.org/10.1016/j.snr.2025.100303
  12. Scalera, F., Monteduro, A.G., Quarta, A., Caputo, A., Pullar, R.C., Maruccio, G., & Piccirillo, C. (2025). Cork-derived magnetic composites: a preliminary study. RSC Sustainability, 3(2), 914. https://doi.org/10.1039/d4su00442f
  13. Tamantini, C., Patrice Langlois, K., de Winter, J., Ali Mohamadi, P.H., Beckwée, D., Swinnen, E., Verstraten, T., Vanderborght, B., & Zollo, L. (2025). Promoting active participation in robot-aided rehabilitation via machine learning and impedance control. Frontiers in Digital Health, 7. https://doi.org/10.3389/fdgth.2025.1559796
  14. Peracchio, L., Nicora, G., Parimbelli, E., Buonocore, T.M., Tavazzi, E., Bergamaschi, R., Dagliati, A., & Bellazzi, R. (2025). RelAI: an automated approach to judge pointwise ML prediction reliability. In International Journal of Medical Informatics, 197, 105857. https://doi.org/10.1016/j.ijmedinf.2025.105857
  15. Controzzi, M., Angelini, L., Randi, P., Mucci, P., Mazzeo, A., Ferrari, R., Gruppioni, E., & Cipriani, C. (2025). Assessing Hand Function in Trans-Radial Amputees Wearing Myoelectric Hands: The Virtual Eggs Test (VET). IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 286–297. https://doi.org/10.1109/tnsre.2024.3524791
  16. Finocchi, A., Campagnini, S., Mannini, A., Doronzio, S., Baccini, M., Hakiki, B., Bardi, D., Grippo, A., Macchi, C., Navarro Solano, J., Baccini, M., & Cecchi, F. (2024). Multiple imputation integrated to machine learning: predicting post-stroke recovery of ambulation after intensive inpatient rehabilitation. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-74537-8
  17. Finocchi, A., Campagnini, S., Mannini, A., Doronzio, S., Baccini, M., Hakiki, B., Bardi, D., Grippo, A., Macchi, C., Navarro Solano, J., Baccini, M., & Cecchi, F. (2024). Multiple imputation integrated to machine learning: predicting post-stroke recovery of ambulation after intensive inpatient rehabilitation. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-74537-8
  18. Demofonti, A., Germanotta, M., Zingaro, A., Bailo, G., Insalaco, S., Cordella, F., Aprile, I.G., & Zollo, L. (2025). Restoring somatotopic sensory feedback in lower limb amputees through non-invasive nerve stimulation. Cyborg and Bionic Systems. https://doi.org/10.34133/cbsystems.0243
  19. Baglio, F., Rossetto, F., Gervasoni, E., Carpinella, I., Smecca, G., Aprile, I., De Icco, R., De Trane, S., Pavese, C., Lunetta, C., Fundarò, C., Marcuccio, L., Zamboni, G., Molteni, F., & Messa, C. (2025). Timely and Personalized Interventions and Vigilant Care in Neurodegenerative Conditions: The FIT4TeleNEURO Pragmatic Trial. Healthcare, 13(6), 682. https://doi.org/10.3390/healthcare13060682
  20. Nicora, G., Parimbelli, E., Mauro, M.C., Falchini, F., Germanotta, M., Fasano, A., Sgandurra, G., Beani, E., Gruppioni, E., Bugané, F., Aprile, I.G., Quaglini, S., Estraneo, A., Magliacano, A., Mosca, R., Cecchi, F., Ciapetti, T., Piazzini, M., … Corpina, F. (2025). Healthcare practitioners and robotic-assisted rehabilitation: understanding needs and barriers. Journal of NeuroEngineering and Rehabilitation, 22(1). https://doi.org/10.1186/s12984-025-01593-0
  21. Nicora, G., Pe, S., Santangelo, G., Billeci, L., Aprile, I.G., Germanotta, M., Bellazzi, R., Parimbelli, E., & Quaglini, S. (2025). Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions. In Journal of NeuroEngineering and Rehabilitation, 22(1). https://doi.org/10.1186/s12984-025-01605-z
  22. Fasano, A., Mauro, M.C., Beani, E., Nicora, G., Germanotta, M., Falchini, F., Pavan, A., Habib, V., Quaglini, S., Sgandurra, G., & Aprile, I.G. (2025). Towards the Identification of Patients’ Needs for Promoting Robotics and Allied Digital Technologies in Rehabilitation: A Systematic Review. Healthcare, 13(7), 828. https://doi.org/10.3390/healthcare13070828

 

Conference Papers 2025

  1. Gherardini, M., Donadel, F., Paggetti, F., Schirru, C., Mastinu, E., & Cipriani, C. (2025). Low-Footprint Modular Magnet Localizer for Myokinetic Controllers of Assistive Devices. Biosystems & Biorobotics, 319. https://doi.org/10.1007/978-3-031-77588-8_64
  2. Parodi, G., Viola, L., De Vicariis, C., & Sanguineti, V. (2025). Rehabilitation as a Game: ‘Assist as Needed’ Reaching Movements as Nash Equilibria. Biosystems & Biorobotics, 488. https://doi.org/10.1007/978-3-031-77588-8_96
  3. Angelini, L., Guachi, R., & Controzzi, M. (2025). Improvements on the Virtual Eggs Test to Assess Hand Dexterity. Biosystems & Biorobotics, 177. https://doi.org/10.1007/978-3-031-77588-8_34
  4. Marra, E., Finocchi, A., Hakiki, B., Macchi, C., Grippo, A., Cecchi, F., Grilli, L., & Mannini, A. (2024). Multiple Imputation and Multivariate Outliers Detection and Correction Integrated to Machine Learning: A Prediction of Functional Outcome in Post-Stroke Survivors. Biosystems & Biorobotic, 557. https://doi.org/10.1007/978-3-031-77584-0_109
  5. Molle, R., Tamantini, C., Paglialonga, A., Simeone, D., Furia, L., Tortora, M., Lauretti, C., Iannello, G., Soda, P., Sicilia, R., Dabbene, F., & Zollo, L. (2025). AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation. Springer Proceedings in Advanced Robotics, 68. https://doi.org/10.1007/978-3-031-81688-8_13

 

2024 

  1. Gaele, M.F., Gargiulo, P., & Di Palma, T.M. (2025). Aluminum-air batteries with acidic bio-polymer gel electrolytes and wood-derived metal-free cathodes. Journal of Power Sources, 626, 235784. https://doi.org/10.1016/j.jpowsour.2024.235784 [anno 2025 ma first online novembre 2024; conteggiato nel 2024]
  2. Sacchi, N., Vacchini, E., & Ferrara, A. (2024). Human-Robot Ergonomic Handover via Deep Neural Network Based Adaptive Integral Sliding Mode Control. 2024 European Control Conference (ECC), 585. https://doi.org/10.23919/ecc64448.2024.10591313
  3. Stanzione, A., Polini, A., Scalera, F., Gigli, G., Moroni, L., & Gervaso, F. (2024). Photo/thermo-sensitive chitosan and gelatin-based interpenetrating polymer network for mimicking muscle tissue extracellular matrix. Heliyon, 10(21), e39820. https://doi.org/10.1016/j.heliyon.2024.e39820
  4. Pugi, L., Sorrentino, A., Fiorini, L., & Cavallo, F. (2024). Design and Implementation of a Storytelling Robot: Preliminary Evaluation of a GAN-Based Model for Co-Speech Gesture Generation. Lecture Notes in Bioengineering, 373. https://doi.org/10.1007/978-3-031-77318-1_25
  5. Vazzoler, G., Shimohara, S., Berselli, G., & Hopkins, J.B. (2024). Designing Multi-axis Compliant Mechanisms With Lockable Decoupled Inputs: A Tip–Tilt Case Study. Journal of Mechanisms and Robotics, 17(4). https://doi.org/10.1115/1.4066982
  6. Sgorbissa, A., Morocutti, L., D’Angelo, I., & Recchiuto, C.T. (2024). Machiavellian Robots and Their Theory of Mind. IEEE Transactions on Affective Computing,1. https://doi.org/10.1109/taffc.2024.3494595
  7. Frediani, G., & Carpi, F. (2024). Tactile sensitivity to softness in virtual reality can increase when visual expectation and tactile feedback contradict each other. Journal of Neural Engineering, 21(6), 066041. https://doi.org/10.1088/1741-2552/ada0e8
  8. Raso, A., Pulcinelli, M., Schena, E., Puglisi, A., Pioggia, G., Carnevale, A., & Longo, U.G. (2024). A pilot study for assessing NAO humanoid robot assistance in shoulder rehabilitation. Journal of Experimental Orthopaedics, 12(1). https://doi.org/10.1002/jeo2.70122
  9. Gherardini, M., Masiero, F., Ianniciello, V., & Cipriani, C. (2023). The myokinetic interface: Implanting permanent magnets to restore the sensory-motor control loop in amputees. Current Opinion in Biomedical Engineering, 27,100460. https://doi.org/10.1016/j.cobme.2023.100460
  10. Falchini, F., Germanotta, M., Fasano, A., Cortellini, L., Insalaco, S., Cipollini, V., Papadopoulou, D., & Aprile, I.G. (2024). Reliability of the Italian Version of the Fugl-Meyer Upper Extremity Scale Administered Remotely. Journal of Clinical Medicine, 13(24), 7750. https://doi.org/10.3390/jcm13247750
  11. Lanzani, V., Brambilla, C., & Scano, A. (2025). Spinal maps in phasic and tonic EMG: Investigating intra-subject and inter-subject variability. Neuroscience, 564, 83. https://doi.org/10.1016/j.neuroscience.2024.11.043 [anno 2025 ma first online novembre 2024; conteggiato nel 2024]
  12. Viola, E., Martini, M., Solari, F., & Chessa, M. (2024). IMMERSE: IMMersive Environment for Representing Self-Avatar Easily. 2024 IEEE Gaming, Entertainment, and Media Conference (GEM),1. https://doi.org/10.1109/gem61861.2024.10585468
  13. Caffi, L., Romito, L.M., Palmisano, C., Aloia, V., Arlotti, M., Rossi, L., Marceglia, S., Priori, A., Eleopra, R., Levi, V., Mazzoni, A., & Isaias, I.U. (2024). Adaptive vs. Conventional Deep Brain Stimulation: One-Year Subthalamic Recordings and Clinical Monitoring in a Patient with Parkinson’s Disease. Bioengineering, 11(10), 990. https://doi.org/10.3390/bioengineering11100990
  14. Zambella, G., Grioli, G., Cavaliere, A., Rosato, G., Petrocelli, C., Poggiani, M., Barbarossa, M., Lentini, G., Sessa, E., Tincani, V., Bicchi, A., & Catalano, M.G. (2024). Usability of a Robot Avatar Designed for the Real World: The Alter-Ego X Case Study. International Journal of Social Robotics. https://doi.org/10.1007/s12369-024-01173-7
  15. Galluccio, C., Germanotta, M., Valeri, S., Brunetti, B., Vincenzi, B., Tenna, S., Pagnoni, C., Alloni, R., Angelucci, M., Salzillo, R., Morelli Coppola, M., Valeri, A., Passa, R., Falchini, F., Pavan, A., Cortellini, L., Lattanzi, S., & Aprile, I. G. (2024). Soft Tissue Sarcoma with Lower Limb Impairment: Development of a Specific Rehabilitation Protocol Based on Demolitive and Reconstructive Surgery Types. Journal of Clinical Medicine, 13(23), 7023. https://doi.org/10.3390/jcm13237023
  16. Carnevali, F., Forciniti, S., Onesto, V., Siciliano, A. C., Iuele, H., Grasso, G., da Cruz, A.F., Serra, I., Depalma, N., D’Ugo, S., Piscitelli, P., Spampinato, M.G., Gigli, G., de Camargo de Oliveira, C., & del Mercato, L.L. (2024). Advancements in Cancer Research: 3D Models, Single‐Cell, and Live‐Cell Techniques for Better Insights. Advanced Therapeutics, 2400351. https://doi.org/10.1002/adtp.202400351
  17. Foscarini, A., Romano, F., Garzarelli, V., Turco, A., Bramanti, A.P., Tarantini, I., Ferrara, F., Visconti, P., Gigli, G., & Chiriacò, M.S. (2024). A Microfluidic-Based Sensing Platform for Rapid Quality Control on Target Cells from Bioreactors. Sensors, 24(22), 7329. https://doi.org/10.3390/s24227329
  18. Sibilio, S., Mennella, R., Gregorio, V.D., Rocca, A.L., Urciuolo, F., Imparato, G., & Netti, P.A. (2024). A novel membrane-on-chip guides morphogenesis for the reconstruction of the intestinal crypt-villus axi Biofabrication,16 (4), 045019. https://doi.org/10.1088/1758-5090/ad6599
  19. Colella, F., Forciniti, S., Onesto, V., Grasso, G., Iuele, H., Gigli, G., & del Mercato, L.L. (2024). A fluorescent ratiometric potassium sensor based on IPG4-silica microparticles for selective detection and fluorescence imaging of potassium cations. Journal of Materials Chemistry B, 12(41), 10573. https://doi.org/10.1039/d4tb01047G
  20. Iuele, H., Forciniti, S., Onesto, V., Colella, F., Siciliano, A. C., Chandra, A., Nobile, C., Gigli, G., & del Mercato, L.L. (2024). Facile One Pot Synthesis of Hybrid Core–Shell Silica-Based Sensors for Live Imaging of Dissolved Oxygen and Hypoxia Mapping in 3D Cell Models. ACS Applied Materials &amp, 16(41), 55071. https://doi.org/10.1021/acsami.4c08306
  21. Siciliano, A.C., Forciniti, S., Onesto, V., Iuele, H., Cave, D.D., Carnevali, F., Gigli, G., Lonardo, E., & del Mercato, L.L. (2024). A 3D Pancreatic Cancer Model with Integrated Optical Sensors for Noninvasive Metabolism Monitoring and Drug Screening. Advanced Healthcare Materials, 13(29),2401138. https://doi.org/10.1002/adhm.202401138
  22. Caprari, C., Ferri, E., Schmid, M.G., del Mercato, L.L., Citti, C., & Cannazza, G. (2024). Δ9-Tetrahydrocannabiphorol: Identification and quantification in recreational products. Forensic Chemistry,. 40, 100595. https://doi.org/10.1016/j.forc.2024.100595
  23. Maggiore, A., Qu, Y., Pander, P., Dias, F.B., Clavier, G., Guillot, R., Altamura, D., Giannini, C., Maiorano, V., Audebert, P., & Miomandre, F. (2024). Sonocrystallization induced thermally activated delayed fluorescence via distortion of molecular geometry. Journal of Materials Chemistry C, 12(22), 7943. https://doi.org/10.1039/D4TC00245H
  24. Quarta, A., Bettini, S., Cuscunà, M., Lorenzo, D., Epifani, G., Gigli, G., Valli, L., Aliyev, J. A., Kazimov, E.E., Bakhishova, M. J., Gasymov, O.K., & Simeone, D. (2024). Tailoring Gold Nanoisland-Based Biosensors for Ultrasensitive Detection of Doxorubicin in Biological Fluids. ACS Applied Nano Materials, 7(16), 18724. https://doi.org/10.1021/acsanm.4c01827
  25. Turco, A., Foscarini, A., Piccirillo, C., Primiceri, E., Chiriacò, M.S., & Ferrara, F. (2024). A promising solution for water remediation: PDMS-(Nano)carbon hybrid materials for oil removal. Applied Materials Today, 38, 102218. https://doi.org/10.1016/j.apmt.2024.102218
  26. Bucciarelli, A., Selicato, N., Coricciati, C., Rainer, A., Capodilupo, A.L., Gigli, G., Moroni, L., Polini, A., & Gervaso, F. (2024). Modelling methacrylated chitosan hydrogel properties through an experimental design approach: from composition to material properties. In Journal of Materials Chemistry B, 12(40),10221. https://doi.org/10.1039/d4tb00670d
  27. Ruighi, F., Agostini, A., Fabiano, E., Zatta, S., Clemente, M., Franco, L., Capodilupo, A.L., & Accorsi, G. (2024). Controlling the optical output of arylamino-dibenzothiophene systems by sulphur oxidation state. In Materials Today Chemistry, 40, 102210. https://doi.org/10.1016/j.mtchem.2024.102210
  28. Montrone, M., Maggiore, A., Moliterni, A., Pander, P., Pugliese, M., Capodilupo, A.L., Gambino, S., Prontera, C.T., Valenzano, V., Mariano, F., Accorsi, G., Sibillano, T., Giannini, C., Gigli, G., Cardone, A., & Maiorano, V. (2024). New [1]benzothieno[3,2-b]benzothiophene-tetraoxide-based TADF emitters with a D–A–D structure for OLED applications. Journal of Materials Chemistry C. https://doi.org/10.1039/d4tc03239j
  29. Spoliti, C., Bottoni, P., Vincenzoni, F., Adamiano, A., Iafisco, M., Piccirillo, C., & Vitali, A. (2024). Antioxidant Properties of a Peptide-Enriched Fraction Derived from Salmon (Salmo salar) Bone Collagen. In ACS Food Science & Technology, 4(10), 2407. https://doi.org/10.1021/acsfoodscitech.4c00497
  30. Provinciali, G., Capodilupo, A.L., Mauri, A., Galli, S., Donà, L., Civalleri, B., Tuci, G., Giambastiani, G., Piccirillo, C., & Rossin, A. (2024). Thiazole-Decorated PCN-700 Metal–Organic Frameworks for Diclofenac Luminescence Sensing and Adsorption in Wastewater. ACS ES&T Water, 4(6), 2339. https://doi.org/10.1021/acsestwater.3c00303
  31. Polimeno, L., Di Renzo, A., Rizzato, S., Mastria, R., De Giorgi, M., De Marco, L., Ballarini, D., Gigli, G., Rizzo, A., Dominici, L., Maruccio, G., Wolff, C., Mortensen, N.A., Sanvitto, D., & Todisco, F. (2024). Dynamic Mechanical Modulation of WS2 Monolayer by Standing Surface Acoustic Waves. ACS Photonics, Polimeno, L., Di Renzo, A., Rizzato, S., Mastria, R., De Giorgi, M., De Marco, L., Ballarini, D., Gigli, G., Rizzo, A., Dominici, L., Maruccio, G., Wolff, C., Mortensen, N. A., Sanvitto, D., & Todisco, F. (2024). Dynamic Mechanical Modulation of WS2 Monolayer by Standing Surface Acoustic Waves. ACS Photonics, 11(10), 4058. https://doi.org/10.1021/acsphotonics.4c00821
  32. Bisconti, F., Vilardo, B., Corallo, G., Scalera, F., Gigli, G., Chiocchetti, A., Polini, A., & Gervaso, F. (2024). An Assist for Arthritis Studies: A 3D Cell Culture of Human Fibroblast‐Like Synoviocytes by Encapsulation in a Chitosan‐Based Hydrogel. Advanced Therapeutics, 2400166.  https://doi.org/10.1002/adtp.202400166
  33. De Vicariis, C., Chackochan, V.T., Bandini, L., Ravaschio, E., & Sanguineti, V. (2024). Computational joint action: Dynamical models to understand the development of joint coordination. In L. Zhu (Ed.), PLOS Computational Biology, 20(10), e1011948. https://doi.org/10.1371/journal.pcbi.1011948
  34. Marra, P., Hussain, S., Caianiello, M., & Ficuciello, F. (2024). MPC for Suturing Stitch Automation. IEEE Transactions on Medical Robotics and Bionics, 6(4), 1468.  https://doi.org/10.1109/tmrb.2024.3472796
  35. Singh, A., Pinto, M., Kaltsas, P., Pirozzi, S., Sulaiman, S., & Ficuciello, F. (2024). Validations of various in-hand object manipulation strategies employing a novel tactile sensor developed for an under-actuated robot hand. Frontiers in Robotics and AI,11. https://doi.org/10.3389/frobt.2024.1460589
  36. Isaias, I.U., Caffi, L., Borellini, L., Ampollini, A.M., Locatelli, M., Pezzoli, G., Mazzoni, A., & Palmisano, C. (2024). Case report: Improvement of gait with adaptive deep brain stimulation in a patient with Parkinson’s disease. Frontiers in Bioengineering and Biotechnology, 12. https://doi.org/10.3389/fbioe.2024.1428189
  37. Gaibotti, M., Bigoni, D., Cutolo, A., Fraldi, M., & Piccolroaz, A. (2024). Effects of different loading on the bifurcation of annular elastic rods: Theory vs. experiments. International Journal of Non-Linear Mechanics,165, 104820. https://doi.org/10.1016/j.ijnonlinmec.2024.104820
  38. Guarracino, F., Fraldi, M., & Pugno, N.M. (2024). Local-to-non-local transition laws for stiffness-tuneable monoatomic chains preserving springs mass. In Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 382(2279). https://doi.org/10.1098/rsta.2024.0037
  39. Paiola, L., Grioli, G., & Bicchi, A. (2024). On the Evaluation of Collision Probability Along a Path. IEEE Transactions on Robotics, 40, 4449. https://doi.org/10.1109/tro.2024.3463479
  40. Turco, A., Primiceri, E., Chiriacò, M.S., La Pesa, V., Ferrara, F., Riva, N., Quattrini, A., Romano, A., & Maruccio, G. (2024). Advancing amyotrophic lateral sclerosis disease diagnosis: A lab-on-chip electrochemical immunosensor for ultra-sensitive TDP-43 protein detection and monitoring in serum patients’. Talanta, 273, 125866. https://doi.org/10.1016/j.talanta.2024.125866
  41. Di Lisa, D., Andolfi, A., Masi, G., Uras, G., Ferrari, P.F., Martinoia, S., & Pastorino, L. (2024). Impact of perfusion on neuronal development in human derived neuronal networks. APL Bioengineering, 8(4). https://doi.org/10.1063/5.0221911
  42. Lanzani, V., Brambilla, C., & Scano, A. (2024). Kinematic–Muscular Synergies Describe Human Locomotion with a Set of Functional Synergies. Biomimetics, 9(10), 619. https://doi.org/10.3390/biomimetics9100619
  43. Siotto, M., Guerrini, A., Cocco, C., Germanotta, M., Fasano, A., Cipollini, V., Cortellini, L., Pavan, A., Insalaco, S., Antonacci, E., Ruco, E., Mosca, R., Graziosi, A., Spatola, P., Malanga, M. R., Campana, B., & Aprile, I.G. (2024). Malnutrition Diagnosis and Food Consumption in Subacute Post-Stroke Patients During Rehabilitation. Nutrients, 16(21), 3589. https://doi.org/10.3390/nu16213589
  44. Hanifi, S., Maiettini, E., Lombardi, M., & Natale, L. (2024). A pipeline for estimating human attention toward objects with on-board cameras on the iCub humanoid robot. Frontiers in Robotics and AI, 11.  https://doi.org/10.3389/frobt.2024.1346714
  45. Frediani, G., & Carpi, F. (2024). How to Make the Skin Contact Area Controllable by Optical Calibration in Wearable Tactile Displays of Softness. Sensors, 24(20), 6770.  https://doi.org/10.3390/s24206770
  46. Guerra, B.M.V., Schmid, M., Sozzi, S., Pizzocaro, S., De Nunzio, A.M., & Ramat, S. (2024). A Recurrent Deep Network for Gait Phase Identification from EMG Signals During Exoskeleton-Assisted Walking. Sensors(24), 20, 6666. https://doi.org/10.3390/s24206666
  47. Gower, V., Aprile, I., Falchini, F., Fasano, A., Germanotta, M., Randazzo, M., Spinelli, F., Trieste, L., Gramatica, F., & Turchetti, G. (2024). Cost analysis of technological vs. conventional upper limb rehabilitation for patients with neurological disorders: an Italian real-world data case study. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1445099
  48. Palazzo, B., Scialla, S., Barca, A., Sercia, L., Izzo, D., Gervaso, F., & Scalera, F. (2024). Towards Complex Tissues Replication: Multilayer Scaffold Integrating Biomimetic Nanohydroxyapatite/Chitosan Composites. Bioengineering, 11(5), 471. https://doi.org/10.3390/bioengineering11050471
  49. Pavan, A., Fasano, A., Lattanzi, S., Cortellini, L., Cipollini, V., Insalaco, S., Mauro, M. C., Germanotta, M., & Aprile, I. G. (2024). Effectiveness of Two Models of Telerehabilitation in Improving Recovery from Subacute Upper Limb Disability after Stroke: Robotic vs. Non-Robotic. Brain Sciences, 14(9), 941. https://doi.org/10.3390/brainsci14090941
  50. Mauro, M.C., Fasano, A., Germanotta, M., Cortellini, L., Insalaco, S., Pavan, A., Comanducci, A., Guglielmelli, E., & Aprile, I. (2024). Restoring of interhemispheric symmetry in patients with stroke following bilateral or unilateral robot-assisted upper-limb rehabilitation: a pilot Randomized Controlled Trial. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1. https://doi.org/10.1109/tnsre.2024.3460485
  51. Gherardini, M., Ianniciello, V., Masiero, F., Paggetti, F., D’Accolti, D., La Frazia, E., Mani, O., Dalise, S., Dejanovic, K., Fragapane, N., Maggiani, L., Ipponi, E., Controzzi, M., Nicastro, M., Chisari, C., Andreani, L., & Cipriani, C. (2024). Restoration of grasping in an upper limb amputee using the myokinetic prosthesis with implanted magnets. Science Robotics, 9(94). https://doi.org/10.1126/scirobotics.adp3260
  52. Detry, A.L.H.S., Landolfi, L., Tammaro, D., Lepore, A., Villone, M.M., Maffettone, P.L., & Squillace, A. (2024). Foam additive manufacturing of thermoplastic polymers: The influence of the process parameters. Journal of Manufacturing Processes, 25, 64. https://doi.org/10.1016/j.jmapro.2024.07.015
  53. Epasto, G., Rizzo, D., Landolfi, L., Detry, A.L.H.S., Papa, I., & Squillace, A. (2024). Design of monomaterial sandwich structures made with foam additive manufacturing. Journal of Manufacturing Processes, 121, 323. https://doi.org/10.1016/j.jmapro.2024.05.033
  54. Landolfi, L., Detry, A.L.H.S., Cozzolino, E., Tammaro, D., & Squillace, A. (2024). Energy-saving approach for mechanical properties enhancement of recycled PET additively manufactured by MEX. Sustainable Materials and Technologies, 41, e01038. https://doi.org/10.1016/j.susmat.2024.e01038
  55. Facciorusso, S., Guanziroli, E., Brambilla, C., Spina, S., Girard, M., Molinari Tosatti, L., Sanatamato, A., Molteni, F., & Scano, A. (2024). Muscle synergies in upper limb stroke rehabilitation: a scoping review. European Journal of Physical and Rehabilitation Medicine. https://doi.org/10.23736/s1973-9087.24.08438-7
  56. Vendrame, E., Cappello, L., Mori, T., Baldi, R., Controzzi, M., & Cipriani, C. (2024). An Instrumented Glove for Restoring Sensorimotor Function of the Hand Through Augmented Sensory Feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 2314. https://doi.org/10.1109/tnsre.2024.3415709
  57. Vittoria Guerra, B.M., Schmid, M., Sozzi, S., Pizzocaro, S., De Nunzio, A.M., & Ramat, S. (2024). Adopting BiLSTM for Gait Phase Recognition in Exoskeleton Control via sEMG Signals. 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 10, 1. https://doi.org/10.1109/memea60663.2024.10596737
  58. Coser, O., Tamantini, C., Soda, P., & Zollo, L. (2024). AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review. Frontiers in Robotics and AI, 11, 1341580. https://doi.org/10.3389/frobt.2024.1341580
  59. Tamantini, C., Cordella, F., Nevio Luigi Tagliamonte, Pecoraro, I., Iolanda Pisotta, Bigioni, A., Tamburella, F., Lorusso, M., Molinari, M., & Zollo, L. (2024). A Data-Driven Fuzzy Logic Method for Psychophysiological Assessment: An Application to Exoskeleton-Assisted Walking. IEEE Transactions on Medical Robotics and Bionics, 6(2). https://doi.org/10.1109/tmrb.2024.3377453
  60. Hussain, S., & Ficuciello, F. (2024). Advancements in Soft Wearable Robots: A Systematic Review of Actuation Mechanisms and Physical Interfaces. IEEE Transactions on Medical Robotics and Bionics. https://doi.org/10.1109/tmrb.2024.3407374
  61. De Vitis, E., Stanzione, A., Romano, A., Quattrini, A., Gigli, G., Moroni, L., Gervaso, F., & Polini, A. (2024). The Evolution of Technology‐Driven In Vitro Models for Neurodegenerative Diseases. Advanced Science, 11, 2304989. https://doi.org/10.1002/advs.202304989
  62. Grasso, G., Onesto, V., Forciniti, S., D’Amone, E., Colella, F., Pierantoni, L., Famà, V., Gigli, G., Reis, R.L., Oliveira, J.M., & del Mercato L.L. (2024). Highly sensitive ratiometric fluorescent fiber matrices for oxygen sensing with micrometer spatial resolution. Bio-Design and Manufacturing. https://doi.org/10.1007/s42242-024-00277-3
  63. Cinquino, M., Pugliese, M., Carmela Tania Prontera, Mariano, F., Zizzari, A., Maiorano, G., Maggiore, A., Manfredi, R., Mello, C., Tarantini, I., Gigli, G., & Maiorano, V. (2024). Inkjet-printed multilayer structure for low-cost and efficient OLEDs. Journal of Science. Advanced Materials and Devices, 9(2), 100707. https://doi.org/10.1016/j.jsamd.2024.100707
  64. Prontera, C.T., Pugliese, M., Mariano, F., Taurino, D., Giannuzzi, R., Primiceri, V., Esposito, M., Andretta, A., Gigli, G., & Maiorano, V. (2024). OLEDs on Down-Converting Fabric by Using a High Scalable Planarization Process and a Transparent Polymeric Electrode. Textiles, 4(1), 91. https://doi.org/10.3390/textiles4010007
  65. Tobaldi, D.M., Lajaunie, L., Cretì, A., Cuscunà, M., Tarantini, I., Esposito, M., Balestra, G., Lomascolo, M., Passaseo, A., & Tasco, V. (2024). AlN interlayer-induced reduction of dislocation density in the AlGaN epilayer. CrystEngComm, 26, 3475. https://doi.org/10.1039/D4CE00191E
  66. Ferri, E., Russo, F., Vandelli, M.A., Paris, R., Laganà, A., Capriotti, A.L., Gallo, A., Siciliano, A., Carbone, L., Gigli, G., Citti, C., & Cannazza, G. (2024). Analysis of phytocannabinoids in hemp seeds, sprouts and microgreens. Journal of Pharmaceutical and Biomedical Analysis, 245, 116181. https://doi.org/10.1016/j.jpba.2024.116181
  67. Gragnaniello, M., Borghese, A., Vincenzo Romano Marrazzo, Maresca, L., Breglio, G., Irace, A., & Riccio, M. (2024). Real-Time Myocardial Infarction Detection Approaches with a Microcontroller-Based Edge-AI Device. Sensors, 24(3), 828. https://doi.org/10.3390/s24030828 
  68. Russo, M., Scano, A., Brambilla, C., & d'Avella, A. (2024). SynergyAnalyzer: a Matlab toolbox implementing mixed-matrix factorization to identify kinematic-muscular synergies. Computer Methods and Programs in Biomedicine, 251, 108217. https://doi.org/10.1016/j.cmpb.2024.108217
  69. Mazio, C., Mavaro, I., Palladino, A., Casale, C., Urciuolo, F., Banfi, A., D’Angelo, L., Netti, P.A., de Girolamo, P., Imparato, G., & Attanasio, C. (2024). Rapid innervation and physiological epidermal regeneration by bioengineered dermis implanted in mouse. Materials Today Bio, 25, 100949. https://doi.org/10.1016/j.mtbio.2024.100949
  70. Cavuoto, R., Deseri, L. & Fraldi, M. (2024). Effects of a nonlocal microstructure on peeling of thin films. Meccanica. https://doi.org/10.1007/s11012-024-01786-2 
  71. Bernard, C., Carotenuto, A.R., Pugno, N.M., Deseri, L. & Fraldi, M. (2024). The interplay between membrane viscosity and ligand-binding receptor kinetics in lipid bilayers. Meccanica. https://doi.org/10.1007/s11012-024-01779-1
  72. Esposito, L., Cutolo, A., Minutolo, V., Sacco, E., & M Fraldi. (2024). Stress equalizing in optimal design of High-Toughness lattice structures. Materials & Design, 241, 112887. https://doi.org/10.1016/j.matdes.2024.112887
  73. Galletta, V., Chiaramello, E., Fiocchi, S., Parazzini, M., & Ravazzani, P. (2024). Magnetoelectric Nanoparticles for Wireless Peripheral Nerve Stimulation: A Computational Study. Applied Sciences, 14(13), 5372. https://doi.org/10.3390/app14135372
  74. Scano, A., Lanzani, V., Brambilla, C., & d’Avella, A. (2024). Transferring Sensor-Based Assessments to Clinical Practice: The Case of Muscle Synergies. Sensors, 24(12), 3934. https://doi.org/10.3390/s24123934
  75. Gaele, M.F., Gargiulo, P., & Di Palma, T.M. (2024). Eco-Sustainable Aluminum-Air Batteries. Analytical Letters, 1–18. https://doi.org/10.1080/00032719.2024.2345745

Conference Papers 2024

  1. Tiezzi, M., Marullo, S., Becattini, F., & Melacci, S. (2024). Continual Neural Computation. Lecture Notes in Computer Science, 340. https://doi.org/10.1007/978-3-031-70344-7_20
  2. Fiorini, L., Scatigna, S., Pugi, L., Adelucci, E., Cavallo, F., Bruni, A., Carotenuto, B., Di Lieto, M.C., Del Lucchese, B., Matteucci, E., Scrocco, A., Sgandurra, G., & Pecini, C. (2024). Exploring Emotional and Cognitive Engagement in School Age Children: An In-Depth Analysis of Interaction with the NAO Social Robot During the Storytelling Activity. Lecture Notes in Bioengineering, 243. https://doi.org/10.1007/978-3-031-77318-1_16
  3. Mariano, F., Pitzalis, R. F., Monica, L., Ortiz, J., & Berselli, G. (2024). Traditional vs Generative Design Optimization for Novel Wrist Exoskeleton. 2024 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA),1. https://doi.org/10.1109/mesa61532.2024.10704907
  4. Foschi, A., Pistilli, D., Bondani, G., & Rebecchi, F. (2024). Developing a Prototype Healthcare Data Platform for Advanced Analytics in Rehabilitation Environments. 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), 369. https://doi.org/10.1109/rtsi61910.2024.10761573
  5. Santangelo G., Nicora G., Bellazzi R. & Dagliati A. (2024). SynthCheck: A Dashboard for Synthetic Data Quality Assessment. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2, 256. https://doi.org/10.5220/0012558700003657
  6. Bonini, A., Cesta, A., Cialdea Mayer, M., Orlandini, A., & Umbrico, A. (2024). Risk-Aware Task Sequencing for Human-Robot Collaboration. Lecture Notes in Mechanical Engineering, 144. https://doi.org/10.1007/978-3-031-57496-2_15
  7. Peracchio, L., Nicora, G., Buonocore, T. M., Bellazzi, R., & Parimbelli, E. (2024). Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift. Lecture Notes in Computer Science, 257. https://doi.org/10.1007/978-3-031-66535-6_28
  8. Pizzo, M., Viola, E., Solari, F., & Chessa, M. (2024). Evaluation of 3D Reconstruction Techniques for the Blending of Real and Virtual Environments. IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 360. https://doi.org/10.1109/vrw62533.2024.00071
  9. De Vicariis, C., Ivanova, E., Sanguineti, V., & Burdet, E. (2024). Haptic Communication in a Redundant Sensorimotor Interactive Task. 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 444. IEEE. https://doi.org/10.1109/biorob60516.2024.10719931
  10. Latella, C., Fiori, L., Tatarelli, A., Valli, E., Rapetti, L., Pucci, D., Tacchino, A., Grange, E., Pedullà, L., Brichetto, G., & Podda, J. (2024). iFeel Wearable Technology for the Assessment of Pathology-Specific Spatiotemporal Indicators in People with Multiple Sclerosis. 29th Annual RIMS Conference, 27–29 June, 2024, Hasselt, Belgium. Multiple Sclerosis Journal, 30(2), suppl, 26. https://doi.org/10.1177/13524585241253984 (the doi is for the full supplement issue).
  11. Calabrese, C., Berti, S., Pasquale, G., & Natale, L. (2024). The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 857. https://doi.org/10.1109/ro-man60168.2024.10731472

 

Book Chapters 2024

  1. del Mercato, L.L., Leporatti, S., Ferraro, M.M., Hanafy, N.A., Rinaldi, R., Parak, W.J., & Carregal-Romero, S. (2024). Multilayer Polyelectrolyte Capsules for Sensing and Drug Delivery: Fundamentals and Applications. Bio-Nano Interfaces: Perspectives, Properties, and Applications, Chapter 57, 1-43. (1st ed.) Jenny Stanford Publishing, Taylor & Francis Group. https://doi.org/10.1201/9781003306498

 

eBook Chapters 2024

  1. Tiezzi, M., Marullo, S., Betti, A., Casoni, M., & Melacci, S. (2024). Bridging Continual Learning of Motion and Self-Supervised Representations. Frontiers in Artificial Intelligence and Applications.  https://doi.org/10.3233/faia240812

 

Preprint 2024

  1. Controzzi, M., Angelini, L., Randi, P., Mucci, P., Mazzeo, A., Ferrari, R., Gruppioni, E., & Cipriani, C. (2024). Assessing Hand Function in Trans-Radial Amputees Wearing Myoelectric Hands: The Virtual Eggs Test (VET). https://doi.org/10.36227/techrxiv.172107404.47826209/v1
  2. Feder, M., Grioli, G., Catalano, M. G., & Bicchi, A. (2024). A General Control Method for Human-Robot Integration (Version 2). arXiv. https://doi.org/10.48550/ARXIV.2412.14762

 

2023 

  1. Carpi, F., Valles, M.C., Frediani, G., Toci, T., & Grippo, A. (2023). EEG Investigation on the Tactile Perceptual Performance of a Pneumatic Wearable Display of Softness. Actuators, 12(12), 431. https://doi.org/10.3390/act12120431
  2. Rajamani, S., Simeone, D., Pecora, A., Manoccio, M., Balestra, G., Bayramov, A.H., Mamedov, N.T., Passaseo, A., Gigli, G., Tobaldi, D.M., Tasco, V., Esposito, M., Cola, A., & Cuscunà, M. (2023). Circularly Polarized Light Detection Through 3D Chiral Metasurface‐Based Phototransistors. Advanced Materials Technologies, 9(3). https://doi.org/10.1002/admt.202301250
  3. Piccirillo C. (2023). Preparation, characterisation and applications of bone char, a food waste-derived sustainable material: A review. Journal of Environmental Management, 339, 117896. https://doi.org/10.1016/j.jenvman.2023.117896
  4. Gaballo, A., Ragusa, A., Nobile, C., Gallo, N., Salvatore, L., Piccirillo, C., Nito, A., Caputo, A., Guida, G., Zito, F.A., Filotico, R., & Quarta, A. (2023). Enhanced Delivery of 5-Aminolevulinic Acid by Lecithin Invasomes in 3D Melanoma Cancer Model. Molecular Pharmaceutics, 20(11), 5593. https://doi.org/10.1021/acs.molpharmaceut.3c00494
  5. Canciani B., Semeraro F., Herrera Millar V.R., Gervaso F., Polini A., Stanzione A., Peretti G.M., Di Giancamillo A., & Mangiavini L. (2023). In Vitro and In Vivo Biocompatibility Assessment of a Thermosensitive Injectable Chitosan-Based Hydrogel for Musculoskeletal Tissue Engineering. International Journal of Molecular Sciences, 24(13), 10446. https://doi.org/10.3390/ijms241310446
  6. Grasso, G., Colella, F., Forciniti, S., Onesto, V., Iuele, H., Siciliano, A., Carnevali, F., Chandra, A., Gigli, G., & del Mercato L.L. (2023). Fluorescent nano- and microparticles for sensing cellular microenvironment: past, present and future applications. Nanoscale Advances, 5(17), 4311. https://doi.org/10.1039/d3na00218g
  7. Rizzo, R., Onesto, V., Morello, G., Iuele, H., Scalera, F., Forciniti, S., Gigli, G., Polini, A., Gervaso, F., & del Mercato, L. L. (2023). pH-sensing hybrid hydrogels for non-invasive metabolism monitoring in tumor spheroids. Materials Today Bio, 20, 100655. https://doi.org/10.1016/j.mtbio.2023.100655
  8. Pugliese, M., Scarfiello, R., Prontera, C.T., Giannuzzi, R., Bianco, G.V., Bruno, G., Carallo, S., Mariano, F., Maggiore, A., Carbone, L., Gigli, G., & Maiorano, V. (2023). Visible Light–Near-Infrared Dual-Band Electrochromic Device. ACS Sustainable Chemistry & Engineering, 11(26), 9601. https://doi.org/10.1021/acssuschemeng.3c00865 
  9. Garzarelli, V., Chiriacò, M., Cereda, E., Gigli, G., & Ferrara, F. (2023). Ultrasensitive qPCR platform for rapid detection of bacterial contamination of raw biological samples at the point of care. Heliyon, 9(5), e16229. https://doi.org/10.1016/j.heliyon.2023.e16229
  10. Ruighi, F., Fabiano, E., Franco, L., Agostini, A., Zatta, S., Corrente, G.A., Beneduci, A., Cardone, A., Accorsi, G., & Capodilupo A.L. (2023). Colour tunability by optically induced electron transfer in diarylamine-dibenzothiophene derivatives. Dyes and Pigments, 219, 111582. https://doi.org/10.1016/j.dyepig.2023.111582
  11. Cinquino, M., Prontera, C.T., Giuri, A., Pugliese, M., Giannuzzi, R., Maggiore, A., Altamura, D., Mariano, F., Gigli, G., Corcione, C.E., Giannini, C., Rizzo, A., De Marco, L., & Maiorano, V. (2023). Thermochromic Printable and Multicolor Polymeric Composite Based on Hybrid Organic–Inorganic Perovskite. Advanced Materials, 36, 2307564. https://doi.org/10.1002/adma.202307564
  12. Primiceri, V., Pugliese, M., Giannuzzi, R., Esposito, M., Gigli, G., Maiorano, V., & Cossari, P. (2023). Enhanced Durability of an All-Solid-State WO3 Based Electrochromic Device on a Single Substrate by Using a Complementary Anodically Coloring Poly(o-ethoxyaniline). ACS Applied Electronic Materials, 5(10), 5735. https://doi.org/10.1021/acsaelm.3c01079
  13. Prontera, C.T., Gallo, N., Giannuzzi, R., Pugliese, M., Primiceri, V., Mariano, F., Maggiore, A., Gigli, G., Sannino, A., Salvatore, L., & Maiorano, V. (2023). Collagen Membrane as Water-Based Gel Electrolyte for Electrochromic Devices. Gels, 9(4), 310. https://doi.org/10.3390/gels9040310
  14. Argenziano, M., Cutolo, A., Babilio, E., Carotenuto, A.R., & Fraldi, M. (2023). Moving mass over a viscoelastic system: asymptotic behaviours and insights into nonlinear dynamics. Nonlinear Dynamics, 111(13), 12033. https://doi.org/10.1007/s11071-023-08465-z
  15. Benvenuti, E., Reho, G.A., Palumbo, S., & Fraldi, M. (2023). Mechanics of tensegrity cell units incorporating asymmetry and insights into mollitaxis. Journal of The Royal Society Interface, 20(202). https://doi.org/10.1098/rsif.2023.0082
  16. Giannuzzi, R., Prontera, C.T., Primiceri, V., Capodilupo, A.L., Pugliese, M., Mariano, F., Maggiore, A., Gigli, G., & Maiorano, V. (2023). Hybrid electrochromic device with transparent electrolyte. Solar Energy Materials and Solar Cells, 257, 112346. https://doi.org/10.1016/j.solmat.2023.112346
  17. Maggiolini, E., Polimeno, L., Todisco, F., Di Renzo, A., Han, B., De Giorgi, M., Ardizzone, V., Schneider, C., Mastria, R., Cannavale, A., Pugliese, M., De Marco, L., Rizzo, A., Maiorano, V., Gigli, G., Gerace, D., Sanvitto, D., & Ballarini, D. (2023). Strongly enhanced light–matter coupling of monolayer WS2 from a bound state in the continuum. Nature Materials, 22, 964. https://doi.org/10.1038/s41563-023-01562-9
  18. Corrente, G.A., González, D.A., Aktas, E., Capodilupo, A.L., Ruighi, F., Accorsi, G., Imbardelli, D., Rodriguez-Seco, C., Martinez-Ferrero, E., Palomares, E., & Beneduci, A. (2023). Reversible vis-NIR electrochromic/electrofluorochromic switching in dual-functional devices modulated by different benzothiadiazole-arylamine anodic components. Journal of Materials Chemistry C, 11(48), 17115. https://doi.org/10.1039/d3tc03577h
  19. Di Lisa, D., Muzzi, L., Lagazzo, A., Andolfi, A., Martinoia, S., & Pastorino, L. (2023). Long-term in vitro culture of 3D brain tissue model based on chitosan thermogel. Biofabrication, 16(1), 015011. https://doi.org/10.1088/1758-5090/ad0979
  20. Fraldi, M., Palumbo, S., Cutolo, A., Carotenuto, A.R., & Bigoni, D. (2023). Bimodal buckling governs human fingers’ luxation. Proceedings of the National Academy of Sciences, 120(44). https://doi.org/10.1073/pnas.2311637120
  21. Marrella, A., Suarato, G., Fiocchi, S., Chiaramello, E., Bonato, M., Parazzini, M., & Ravazzani, P. (2023). Magnetoelectric nanoparticles shape modulates their electrical output. Frontiers in Bioengineering and Biotechnology, 11, 1219777. https://doi.org/10.3389/fbioe.2023.1219777 
  22. Polo, E.M., Farabbi, A., Mollura, M., Paglialonga, A., Mainardi, L., & Barbieri, R. (2023). Comparative assessment of physiological responses to emotional elicitation by auditory and visual stimuli. IEEE Journal of Translational Engineering in Health and Medicine, 12, 171. https://doi.org/10.1109/jtehm.2023.3324249
  23. Cinquino, M., Prontera, C.T., Maggiore, A., Zizzari, A., Pugliese, M., Mariano, F., Valenzano, V., Palamà, I.E., Manfredi, R., Gigli, G., & Maiorano, V. (2023). Toward Highly Efficient Solution‐Processable OLEDs: Inkjet Printing of TADF Emissive Layer. Advanced Electronic Materials, 10(2), 2300358. https://doi.org/10.1002/aelm.202300358 
  24. Rajamani, S., Simeone, D., Pecora, A., Manoccio, M., Balestra, G., Bayramov, A.H., Mamedov, N.T., Passaseo, A., Gigli, G., Tobaldi, D.M., Tasco, V., Esposito, M., Cola, A., & Cuscunà, M. (2023). Circularly Polarized Light Detection Through 3D Chiral Metasurface-Based Phototransistors. Advanced Materials Technologies, 9(3), 2301250. https://doi.org/10.1002/admt.202301250
  25. Bayramov, A.H., Bagiyev, E.A., Alizade, E.H., Jalilli, J.N., Mamedov, N.T., Jahangirli, Z.A., Asadullayeva, S.G., Aliyeva, Y.N., Massimo Cuscunà, Lorenzo, D., Esposito, M., Balestra, G., Simeone, D., Tobaldi, D.M., Abou-Ras, D., & Schorr, S. (2023). Two-Channel Indirect-Gap Photoluminescence and Competition between the Conduction Band Valleys in Few-Layer MoS2. Nanomaterials, 14(1), 96. https://doi.org/10.3390/nano14010096

 

Conference Papers 2023 

  1. Sorrentino, A., Magnotta, A., Fiorini, L., Piccinino, G., Anselmo, A., Laurieri, N., & Cavallo, F. (2023). Feasibility Study on Eye Gazing in Socially Assistive Robotics: An Intensive Care Unit Scenario. Lecture Notes in Computer Science, 43. https://doi.org/10.1007/978-981-99-8715-3_5
  2. Ferreri L., Parimbelli E., Aprile I.G., & Quaglini S. (2024). Understanding user needs for robotics assisted cognitive and physical rehabilitation. Spoke 1. https://doi.org/10.5281/ZENODO.14439904
  3. Vigni, F., Andriella, A., & Rossi, S. (2023). Sweet Robot O’Mine - How a Cheerful Robot Boosts Users’ Performance in a Game Scenario. 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/ro-man57019.2023.10309378
  4. Rossi, A., Koay, K. L., & Rossi, S. (2023). Evaluating People’s Perception of Trust and Privacy based on Robot’s Appearance. 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/ro-man57019.2023.10309402
  5. Bartalucci, L., Brogi, C., Bucci, A., Topini, A., Della Valle, A., Secciani, N., Ridolfi, A., & Allotta, B. (2023). A Kinaesthetic Hand Exoskeleton System Toward Robot-augmented Rehabilitation Therapies in the Health 4.0 era. Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 135. ICBRA 2023: 2023 the 10th International Conference on Bioinformatics Research and Application. https://doi.org/10.1145/3632047.3632068
  6. Bigazzi, R., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2023). Embodied Agents for Efficient Exploration and Smart Scene Description. 2023 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra48891.2023.10160668
  7. Furia, L., Tortora, M., Soda, P., & Sicilia, R. (2023). Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). https://doi.org/10.1109/bibm58861.2023.10385549
  8. Shao, F., & Ficuciello, F. (2023). Dynamic Parameter Identification of the Kuka LBR Med Robot. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). https://doi.org/10.1109/case56687.2023.10260583
  9. Umbrico, A., Benadduci, M., Bevilacqua, R., Cesta, A., Fracasso, F., Maranesi, E., Orlandini, A., & Cortellessa, G. (2023). Combining Clinical and Spatial Constraints into Temporal Planning to Personalize Physical Rehabilitation. Proceedings of the International Conference on Automated Planning and Scheduling, 33(1), 532. https://doi.org/10.1609/icaps.v33i1.27234
  10. Bergamini, E., Bisi, M.C., Caliandro, P., Castiglia, S.F., Cereatti, A., della Croce, U., Filippi, M.V., Guiotto, A., Nardone, A., Picerno, P., Ranavolo, A., Serrao, M., Stagni, R., & Varrecchia, T. (2023). Proceedings XXIII Congresso SIAMOC 2023. Alma Mater Studiorum - Università di Bologna. https://doi.org/10.6092/UNIBO/AMSACTA/7383
  11. D’Angelo, I., Morocutti, L., Giunchiglia, E., Recchiuto, C., & Sgorbissa, A. (2023). Nice and Nasty Theory of Mind for Social and Antisocial Robots. 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/ro-man57019.2023.10309517
  12. Poppi, S., Bigazzi, R., Rawal, N., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2023). Towards Explainable Navigation and Recounting. Lecture Notes in Computer Science, 171–183. https://doi.org/10.1007/978-3-031-43148-7_15

 

Conference papers 2023 con deposito in zenodo

  1. Bonini, A., Mayer, M. C., Cesta, A., Umbrico, A., & Orlandini, A. (2023). A Risk-aware Model for Task Planning in HRC. https://doi.org/10.5281/ZENODO.10722634
  2. Latella, C., Tatarelli, A., Fiori, L., Grieco, R., Rapetti, L., & Pucci, D. (2023). Real-time lower leg muscle forces estimation using a Hill-type model and whole-body wearable sensors. https://doi.org/10.5281/ZENODO.10722443