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Symbol grounding transfer with hybrid self-organizing/supervised neural networks, , and . Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on, 4, page 2865--2869. IEEE, (2004)Special session: Dynamic interactions between visual experiences, actions and word learning., , , , , , , , , and 5 other author(s). ICDL-EPIROB, page 6-7. IEEE, (2014)Towards the grounding of abstract words: A Neural Network model for cognitive robots., , and . IJCNN, page 467-474. IEEE, (2011)AFA-PredNet: The Action Modulation Within Predictive Coding., , , and . IJCNN, page 1-8. IEEE, (2018)Multiple Timescale and Gated Mechanisms for Action and Language Learning in Robotics., , and . IJCNN, page 1-7. IEEE, (2020)Encoding Longer-term Contextual Sensorimotor Information in a Predictive Coding Model., , and . SSCI, page 160-167. IEEE, (2018)A global workspace theory model for trust estimation in human-robot interaction., , , , and . AIC, volume 2483 of CEUR Workshop Proceedings, page 104-112. CEUR-WS.org, (2019)Theory of Mind Improves Human's Trust in an Iterative Human-Robot Game., , , , and . HAI, page 227-234. ACM, (2021)Investigating the Relationship Between Posture and Safety in Teleoperational Tasks: A Pilot Study in Improved Operational Safety Through Enhanced Human-Machine Interaction., , , , , and . TAROS, volume 13546 of Lecture Notes in Computer Science, page 29-39. Springer, (2022)Affective Human-Robot Interaction with Multimodal Explanations., , and . ICSR (1), volume 13817 of Lecture Notes in Computer Science, page 241-252. Springer, (2022)