During the last decade, Speech Emotion Recognition (SER) has emerged as an integral
component within Human-computer Interaction (HCI) and other high-end speech processing …

Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …

The 1-D and 2-D emotion models realized by hardware circuits have been studied.
However, 3-D emotional model which is most suitable for human emotion has not been …

Current robotic studies are focused on the performance of specific tasks. However, such
tasks cannot be generalized, and some special tasks, such as compliant and precise …

Human-robot emotional interaction has developed rapidly in recent years, in which speech
emotion recognition plays a significant role. In this paper, a speech emotion recognition …

The amygdala has repeatedly been implicated in emotional reactions and in learning of new
emotionally significant stimuli. The system forms an important part of motor learning as well …

Traditional joint-link robots have been widely used in production lines because of their high
precision for single tasks. With the development of the manufacturing and service industries …

A novel bidirectional fuzzy brain emotional learning (BFBEL) controller is proposed to
control a class of uncertain nonlinear systems such as the quadcopter unmanned aerial …

This paper proposes a brain-inspired cognitive architecture that incorporates
approximations to the concepts of consciousness, imagination, and emotion. To emulate the …

The field of artificial intelligence (AI) has gained immense traction over the past decade,
producing increasingly successful applications as research strives to understand and exploit …