Christian Tamantini is a researcher at the Institute of Cognitive Sciences and Technologies (ISTC) of the National Research Council (CNR), where he is part of the PST (Planning and Scheduling Technology) Lab. His work focuses on the development of adaptive cognitive architectures for human–robot interaction, with particular emphasis on robot-aided rehabilitation, multimodal monitoring, user state estimation, and automated planning for personalized and long-term effective interventions.
Training: Christian is a Biomedical Engineer with multidisciplinary expertise across Medicine, Engineering, Computer Science and Artificial Intelligence. He obtained a BSc in Medical Engineering at the University of Rome Tor Vergata and a MSc in Biomedical Engineering (curriculum in Biorobotics and Bionics) at the Università Campus Bio-Medico di Roma, where he graduated with honors and received a career award. He later completed a PhD in Biomedical Engineering at the same University, focusing on adaptive systems for human–robot interaction in rehabilitation and occupational safety. He also attended the Advanced School in Artificial Intelligence (AS-AI) promoted by ISTC-CNR.
Professional activities: Within the PST Lab, Christian’s research follows three main directions: (i) the development of multimodal monitoring systems combining physiological, kinematic, and behavioral data; (ii) the design of computational models for estimating the user’s psychophysiological state; and (iii) the integration of these models with adaptive control and automated planning strategies to personalize robot-aided rehabilitation. He has contributed to several national and European projects (Horizon 2020, PON, INAIL, PNC/NRRP, Regione Lazio), working on experimental protocol design, multimodal data collection with patients and workers, algorithmic development, system integration, and clinical validation. Alongside research, he teaches in MSc courses on Robotics and Bioengineering, supervises Master’s and PhD students, and serves as reviewer for international journals and conferences in robotics, rehabilitation, and artificial intelligence.
Key publications:
Tamantini, C., Umbrico, A., & Orlandini, A. (2025). Automated planning and scheduling in robot-aided rehabilitation: a review. Journal of NeuroEngineering and Rehabilitation, 22(1), 180.
Tamantini, C., Umbrico, A., Orlandini, A. "REPAIR Platform: Robot-AidEd PersonAlIzed Rehabilitation." In International Conference of the Italian Association for Artificial Intelligence, pp. 301-314. Cham: Springer Nature Switzerland, 2024.
Tamantini, C., Scotto di Luzio, F., Hromei, C.D., Cristofori, L., Croce, D., Cammisa, M., Cristofaro, A., Marabello, M.V., Basili, R., and Zollo, L.. "Integrating physical and cognitive interaction capabilities in a robot-aided rehabilitation platform." IEEE Systems Journal (2023).
Tamantini, C., Cordella, F., Lauretti, C., Scotto Di Luzio, F., Campagnola, B., Cricenti, L., Bravi, M. et al. "Tailoring upper-limb robot-aided orthopedic rehabilitation on patients’ psychophysiological state." IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023).
Tamantini, C., Scotto di Luzio, F., Cordella, F., Pascarella, G., Agro, F. E., and Zollo, L. "A robotic health-care assistant for COVID-19 emergency: A proposed solution for logistics and disinfection in a hospital environment." IEEE Robotics & Automation Magazine 28, no. 1 (2021): 71-81.
