2 papers
cs.RO2026
HEXAR: a Hierarchical Explainability Architecture for Robots
Tamlin Love, Ferran GebellÃ, Pradip Pramanick +5
As robotic systems become increasingly complex, the need for explainable decision-making becomes critical. Existing explainability approaches in robotics typically either focus on…
cs.RO2024
Enhancing Robot Assistive Behaviour with Reinforcement Learning and Theory of Mind
Antonio Andriella, Giovanni Falcone, Silvia Rossi
The adaptation to users' preferences and the ability to infer and interpret humans' beliefs and intents, which is known as the Theory of Mind (ToM), are two crucial aspects for ach…