Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-modal Transfer Learning

arXiv:2403.10689v1 Announce Type: cross
Abstract: Recognising the characteristics of objects while a robot handles them is crucial for adjusting motions that ensure stable and efficient interactions with containers. Ahead of realising stable and efficient robot motions for handling/transferring the containers, this work aims to recognise the latent unobservable object characteristics. While vision is commonly used for object recognition by robots, it is ineffective for detecting hidden objects. However, recognising objects indirectly using other sensors is a challenging task. To address …

abstract adjusting arxiv audio containers cs.cv cs.lg cs.ro interactions modal object objects recognition robot them transfer transfer learning type visual work