Luigi Raiano

Luigi ha ricevuto la laurea triennale in “Ingegneria Industriale”, la laurea magistrale in “Ingegneria Biomedica” ed il dottorato di ricerca in “Ingegneria Biomedica” presso l’Università Campus Bio-Medico di Roma nel 2015, 2017 e 2021 rispettivamente.

Luigi è un ricercatore presso Leonardo Labs Intelligent Autonomous System, all’interno del laboratorio di Robotics for Manufacturing con sede a Genova. La sua attività di ricerca si focalizza principalmente sullo studio e sviluppo di nuove strategie di controllo robot ed interazione Uomo-Robot.

Luigi è autore di diversi articoli scientifici peer-reviewed su riviste internazionali, ed è stato a sua volta revisore ufficiale per diverse riviste e conferenze internazionali. Ha inoltre partecipato e presentato lavori scientifici in diverse conferenze internazionali, tra le quali 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT e 8th IEEE RAS/EMBS International Conference on Biomedical Robotics & Biomechatronics (2020).

Luigi è membro IEEE dal 2016 ed è stato nominato membro ufficiale della giuria della IEEE Wearable Device Challange nel 2019 e nel 2021 rispettivamente. Inoltre, ha partecipato alle scuole internazionali Winter School on Wearable Robotics e IEEE International Summer School on Ultrasonic and Piezoelectric Sensors nel 2019 e nel 2020 rispettivamente.

Robotica, Aptica, Teleoperazione, Manipolazione, Sistemi Autonomi

Journal Papers

L. Raiano, G. Di Pino, L. Di Biase, M. Tombini, N. L. Tagliamonte, and D. Formica, "PDMeter: A Wrist Wearable Device for an at-Home Assessment of the Parkinson’s Disease Rigidity," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 6, pp. 1325- 1333, 2020. 

M. Pinardi, F. Ferrari, M. D’Alonzo, F. Clemente, L. Raiano, C. Cipriani, and G. Di Pino, “Doublecheck: a sensory confirmation is required to own a robotic hand, sending a command to feel in charge of it,” Cognitive Neuroscience, vol. 11, no. 4, pp. 216–228, 2020.

Raiano, L., Di Tocco, J., Massaroni, C., Schena, E., & Formica, D. (2020). A PCA-based method to select the number and the body lo- cation of piezoresistive sensors in a wearable system for respiratory monitoring. IEEE Sensors Journal, 21(5), 6847-6855.

Di Tocco, J., Sabbadini, R., Raiano, L., Fani, F., Ripani, S., Schena, E., Formica, D. & Massaroni, C. (2021). Breath-Jockey: Development and Feasibility Assessment of a Wearable System for Respiratory Rate and Kinematic Parameter Estimation for Gallop Athletes. Sensors, 21(1), 152. 

Di Tocco, J., Raiano, L., Sabbadini, R., Massaroni, C., Formica, D., & Schena, E. (2021). A Wearable System with Embedded Conductive Textiles and an IMU for Unobtrusive Cardio-Respiratory Monitoring. Sensors, 21(9), 3018.

Conference Papers

F. Cordella, F. Taffoni, L. Raiano, G. Carpino, M. Pantoni, L. Zollo, E. Schena, E. Guglielmelli, and D. Formica, “Design and development of a sensorized cylindrical object for grasping assessment,” in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3366–3369, IEEE, 2016. 

L. Raiano, G. Di Pino, A. Noccaro, D. Accoto, and D. Formica, “Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients,” in 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), pp. 497–502, IEEE, 2018. 

Noccaro, L. Raiano, G. Di Pino, and D. Formica, “Evaluation of hand-eye and robot-world calibration algorithms for TMS application,” in 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), pp. 1115–1119, IEEE, 2018. 

E. Schena, C. Massaroni, S. Iacoponi, A. Bertè, A. Leone, S. Musicco, D. Formica, L. Raiano, M. Carassiti, P. Palermo, et al., “Force monitoring during peripheral nerve blocks: design and feasibility assessment of a new noninvasive system,” in 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4. 0&IoT), pp. 154–157, IEEE, 2019. 

C. Massaroni, J. Di Tocco, R. Sabbadini, A. Carnevale, D. L. Presti, E. Schena, L. Raiano, D. Formica, S. Miccinilli, M. Bravi, et al., “Influence of torso movements on a multi-sensor garment for respiratory monitoring during walking and running activities,” in 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1–6, IEEE, 2020.

J. Di Tocco, C. Massaroni, L. Raiano, D. Formica, and E. Schena, “A wearable system for respiratory and pace monitoring in running activities: a feasibility study,” in 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, pp. 44–48, IEEE, 2020. 

L. Raiano, J. Di Tocco, C. Massaroni, G. Di Pino, E. Schena, and D. Formica, “Clean-breathing: a novel sensor fusion algorithm based on ICA to remove motion artifacts from breathing signal,” in 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, pp. 734– 739, IEEE, 2020. 

F. Le Jeune, M. D’Alonzo, A. Noccaro, L. Raiano, D. Formica, and G. Di Pino, “Manipulating the body representation: Assessment of a novel platform,” in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 3248– 3251, IEEE, 2020. 

M. Pinardi, L. Raiano, D. Formica, and G. Di Pino, “Altered proprioceptive feedback influences movement kinematics in a lifting task,” in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 3232–3235, IEEE, 2020.

L. Raiano, G. Di Pino, and D. Formica, “Flexion-extension wrist impedance estimation using a novel portable wrist exoskeleton: a pilot study,” in 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), pp. 440–445, IEEE.

Noccaro, L. Raiano, M. Pinardi, D. Formica, and G. Di Pino, “A novel proprioceptive feedback system for supernumerary robotic limb,” in 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), pp. 1024–1029, IEEE.

Pinardi, M., Raiano, L., Noccaro, A., Formica, D., & Di Pino, G., ”Cartesian space feedback for real time tracking of a supernumerary robotic limb: a pilot study”. Accepted for 2021 10th International IEEE EMBS Conference on Neural Engineering (NER).

Raiano, L., Di Tocco, J., Massaroni, C., Di Pino, G., Schena, E., & Formica, D., ”Respiratory Rate Estimation During Walking/Running Activities Using Principal Components Estimated from Signals Recorded by a Smart Garment Embedding Piezoresistive Sensors”. Accepted for 2021 IEEE INTERNATIONAL WORKSHOP ON Metrology for Indus- try 4.0 and IoT.