This work investigate temporal planning to synthesize personalized physical rehabilitation programs. The first contribution of the work concerns the representation of (heterogeneous) clinical and spatial constraints into a planning framework. The second contribution is the integration of numerical and symbolic reasoning to synthesize technically valid and coherent plans with respect to different clinical objectives. The experimental section discusses the developed planner from a technical view, assessing solving and personalization capabilities, and from a clinical view, assessing the efficacy of plans on the involved patients.

Combining Clinical and Spatial Constraints into Temporal Planning to Personalize Physical Rehabilitation

Umbrico Alessandro;Cesta Amedeo;Fracasso Francesca;Orlandini Andrea;Cortellessa Gabriella
2023

Abstract

This work investigate temporal planning to synthesize personalized physical rehabilitation programs. The first contribution of the work concerns the representation of (heterogeneous) clinical and spatial constraints into a planning framework. The second contribution is the integration of numerical and symbolic reasoning to synthesize technically valid and coherent plans with respect to different clinical objectives. The experimental section discusses the developed planner from a technical view, assessing solving and personalization capabilities, and from a clinical view, assessing the efficacy of plans on the involved patients.
2023
Istituto di Scienze e Tecnologie della Cognizione - ISTC
978-1-57735-881-7
artificial intelligence
planning and scheduling
assistive robotics
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Descrizione: 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), 532-540. https://doi.org/10.1609/icaps.v33i1.27234 File pubblico: https://ojs.aaai.org/index.php/ICAPS/article/download/27234/27007
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/453330
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