Robot personalities adaptation system
Zedda E.
Robot behaviuor adaption Q-learning Reinforcement learning Adaptation robot personality
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
Back to previous page
@misc{oai:it.cnr:prodotti:488712,
title = {Robot personalities adaptation system},
author = {Zedda E.},
year = {2023}
}
0000-0002-6541-5667