Embodied Question Answering

Embodied Question Answering (EQA) focuses on enabling robots or agents to understand and answer questions by exploring and interacting with their physical environment. Current research emphasizes improving efficiency through techniques like semantic mapping and calibrated confidence scores from vision-language models, as well as handling complex queries involving multiple objects and situational assessments. This field is significant for advancing human-robot interaction and robotics capabilities, particularly in areas requiring autonomous exploration and decision-making in unstructured environments.