Multimodal Humanoid Robotic Interaction System

The interactive system of multimodal humanoid robots is a pivotal technology for achieving robotic intelligence. This paper presents a systematic review of the key cutting-edge technologies, difficulties, challenges, and development prospects pertaining to such interactive systems. Firstly, the paper enumerates the core technologies in this field, including the application of visual-language models in robot training, long-context multimodal command navigation, learning to imitate human movements, force and torque sensing control, and multimodal intent fusion technology. Insights into the current challenges faced by the field are also derived from these technologies, such as complex system integration, weak environmental adaptability, insufficient safety, and limitations in hardware performance. Finally, the paper looks ahead to the future development of multimodal humanoid robots, proposing that the in-depth integration of large models with embodied intelligence, multimodal interaction, and the coordinated development of software and hardware are the keys to realizing robotic intelligence. The paper argues that the interactive system of multimodal humanoid robots will significantly enhance the level of robotic intelligence, find wide application in various fields, and greatly drive the development of productivity.