Search Results for author: Adam H. M. Pinto

Found 1 papers, 0 papers with code

Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming

no code implementations8 Feb 2024 Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard

The integration of physiological computing into mixed-initiative human-robot interaction systems offers valuable advantages in autonomous task allocation by incorporating real-time features as human state observations into the decision-making system.

Decision Making Physiological Computing

Cannot find the paper you are looking for? You can Submit a new open access paper.