The cooperation between humans and robots is becoming increasingly important in our
society. Consequently, there is a growing interest in the development of models that can …

Deep neural network (DNN) has been used as a learning model for modeling the
hierarchical architecture of human brain. However, DNN suffers from problems of learning …

A three-layer weighted fuzzy support vector regression (TLWFSVR) model is proposed for
understanding human intention, and it is based on the emotion-identification information in …

Two-layer fuzzy support vector regression-Takagi-Sugeno (TLFSVR-TS) model is proposed
for emotion understanding in human-robot interaction (HRI), where the real-time dynamic …

To adapt robots' behavior to human emotional intention, an information-driven multirobot
behavior adaptation mechanism is proposed in human-robot interaction (HRI). In the …

An intention understanding model based on two-layer fuzzy support vector regression is
proposed in human–robot interaction, where fuzzy c-means clustering is used to classify the …

This book focuses on the key technologies and scientific problems involved in emotional
robot systems, such as multimodal emotion recognition (ie, facial expression/speech/gesture …

In order to make the robot produce expressive actions to express emotions, a robotic arm
trajectory planning is proposed to perform emotions, which contains a fuzzy reasoner and a …

Communication atmosphere in Human-Robot Interaction (HRI) is estimated by integrating
emotional states of humans and robots based on the concept of Fuzzy Atmosfield (FA) …

A multi-robot behavior adaptation mechanism that adapts to human intention is proposed for
humanrobot interaction (HRI), where information-driven fuzzy friend-Q learning (IDFFQ) is …