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Robot personalities adaptation system

Software
Data di Pubblicazione:
2023
Abstract:
Description: An application with an adaptation technique implemented on a humanoid robot to make it autonomously adapt its behaviour during user interaction. The application read the user's state (smile value and gaze direction), classified the engagement level following a defined classification and adapted its behaviours using a Q-learning algorithm (Reinforcement Learning algorithm) performing different robot movements and dialogues according to the user state detected and robot personality chosen. The adaption system is applied at a difficult level of a cooking serious game. Technologies used: Java, QiSDK, SQL, Python CNR Link: https://gitea-s2i2s.isti.cnr.it/Human_in_Information_Systems_HIIS/MediumAdaptation
Tipologia CRIS:
05.11 Software
Keywords:
Robot behaviuor adaption; Q-learning; Reinforcement learning; Adaptation robot personality
Elenco autori:
Zedda, Eleonora
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/437350
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