Disambiguation of indicated objects by comparing the appearance of multiple objects
Taiki Yano, Kiyoto Ito, Hiroshi Ito · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2024
In object detection using verbal instructions, ambiguous instructions may fail to identify objects. In this study, we developed an interactive object detection system that disambiguates instructions by obtaining the most useful appearance features for identifying the target object through dialogue, based on the results of appearance comparisons of multiple detected objects. Through experiments on the detection of commodities, we have confirmed that the proposed method can detect the indicated object even with fewer questions.