Multi-Model Large Language Models for Human-Robot Interaction
A reliability-focused multimodal framework is proposed for MLLM-based HRI that integrates voice, pointing gestures, visual perception, and contextual cues for human intention and object understanding and aims to improve the reliability, safety, and trustworthiness of MLLM-based human–robot interaction.