2024
DOI: 10.21203/rs.3.rs-4335441/v1
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Bridging Realities: Training visuo-haptic object recognition models for robots using 3D virtual simulations

Conrado Ruiz,
Òscar de Jesús,
Claudia Serrano
et al.

Abstract: This paper proposes an approach for training visuo-haptic object recognition models for robots using synthetic datasets generated by 3D virtual simulations. In robotics, where visual object recognition has witnessed considerable progress due to an abundance of image datasets, the scarcity of diverse haptic samples has resulted in a noticeable gap in research on machine learning incorporating the haptic sense. Our proposed methodology addresses this challenge by utilizing 3D virtual simulations to create realis… Show more

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