Embodied Question Answering

Embodied Question Answering is a technology that integrates computer vision and natural language processing, aiming to enable intelligent agents to answer questions by perceiving and interacting within a physical environment. Its core objective is to enhance the machine's understanding capabilities, allowing it to dynamically acquire and process information based on environmental changes, thereby providing more accurate and context-relevant answers. This technology has significant application value in areas such as smart homes, robot navigation, and virtual assistants, significantly enhancing the naturalness and intelligence of human-machine interaction.