S2A2: Audio-Visual Imitation Learning for Manipulation Tasks Using Acoustic Spatial Information
arXiv:2607.26047v1 Announce Type: new Abstract: Acoustic information provides rich cues about object location, material properties, and changes caused by contact or motion. This paper introduces a new set of acoustic-aware manipulation tasks for imitation learning, in which robots must use auditory cues to determine manipulation targets. These tasks require sound source localization and identification for active exploration in robotic manipulation. Also, we propose a multimodal imitation learnin...
arXiv cs.RO
·Kaneyoshi Hiratsuka, Benjamin Yen, Ryosuke Kojima
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