Luigi Raiano

Luigi received the B.Sc. degree in “Industrial Engineering”, the M.Sc. degree and the Ph.D. degree in “Biomedical Engineering” from Università Campus Bio-Medico di Roma in 2015, 2017 and 2021 respectively.

He is a research fellow at Intelligent Autonomous System Leonardo Labs, within the Robotics for Manufacturing Lab in Genova (Italy) where he serves as AI & Robotics researcher. His research activity focuses on the study and development of novel strategies about Robot Control and Human-Robot Interaction.

Luigi is Author of several scientific peer-reviewed papers on international journals and, in turn, he served as official reviewer for several international journals and conferences. He also participated in several international conferences as author, such as the 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT and the 8th IEEE RAS/EMBS International Conference on Biomedical Robotics & Biomechatronics (2020).

Luigi is an IEEE member and served as jury member for the IEEE Wearable Device Challenge in 2019 and 2021 respectively. He also participated in the Winter School on Wearable Robotics and IEEE International Summer School on Ultrasonic and Piezoelectric Sensors in 2019 and in 2020 respectively.

Robotics, Haptics, Teleoperation, Manipulation, Autonomous Systems

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.