首页|Recent Findings from Shanghai Jiao Tong University Provides New Insights into An droids (Multi-modal Hierarchical Empathetic Framework for Social Robots With Aff ective Body Control)
Recent Findings from Shanghai Jiao Tong University Provides New Insights into An droids (Multi-modal Hierarchical Empathetic Framework for Social Robots With Aff ective Body Control)
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Current study results on Robotics - An droids have been published. According to news reporting originating in Shanghai, People's Republic of China, by NewsRx journalists, research stated, "Social rob ots require the ability to understand human emotions and provide affective and b ehavioral responses during human-robot interactions. However, current social rob ots lack empathy capabilities." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Shanghai Municipal Science and Technology Major Project, Fun damental Research Funds for the Central Universities. The news reporters obtained a quote from the research from Shanghai Jiao Tong Un iversity, "In this work, we propose a novel Multi-modal Hierarchical Empathetic (MHE) framework for generating empathetic responses for social robots. MHE is co mposed of a multi-modal fusion and emotion recognition module, an empathetic dia logue generation module, and an expression generation module. By fusing the sens or signals of different modalities, the robot can recognize human emotions and g enerate affective responses. Multiple experiments are conducted on a real robot, Pepper, to evaluate the proposed framework. The experiments are conducted to di scriminate between MHE-generated text and human responses in complete ignorance, and most experimenters agree that MHE can effectively generate human-like and e mpathetic responses. To better evaluate the similarity between human-robot and h uman-human interactions, a period eye movement map (PEM) captured by an eye trac ker is proposed."
ShanghaiPeople's Republic of ChinaAs iaAndroidsEmerging TechnologiesHuman-Robot InteractionMachine LearningNano-robotRobotRoboticsShanghai Jiao Tong University
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