IEEE

A Novel Human-in-the-Loop Multimodal Intention Fusion Method for Human–Robot Interaction

Abstract: Understanding human intention plays a crucial role in the research of human-robot interaction (HRI) for service robots. Although multimodal sensing methods have shown promising results in ...
IEEE

An Efficient Human-in-the-loop Method for Stochastic Policy Reinforcement Learning

Abstract: This study introduces Entropy-Q Human-in-the-Loop Reinforcement Learning (EQ-HRL), a novel human-in-the-loop reinforcement learning framework designed for continuous control tasks. To tackle ...