AU Dataset for Visuo-Haptic Object Recognition for Robots

Lasse Emil R. Bonner, Daniel Daugaard Buhl, Kristian Kristensen, Nicolás Navarro-Guerrero

Year: 2021
Citations: 4
Access: Open access

Abstract

This directory contains the data, object list, thimble's 3D design and the technical report (Bonner2021AU.pdf) describing object exploration procedures, experimental set, folder structure, etc. Citing this dataset: Bonner, L. E. R., Buhl, D. D., Kristensen, K., & Navarro-Guerrero, N. (2021). AU Dataset for Visuo-Haptic Object Recognition for Robots. figshare. https://doi.org/10.6084/m9.figshare.14222486 Related References: Toprak, S., Navarro-Guerrero, N., & Wermter, S. (2018). Evaluating Integration Strategies for Visuo-Haptic Object Recognition. Cognitive Computation, 10(3), 408–425. https://doi.org/10.1007/s12559-017-9536-7. Contact: For more information, please get in touch with Nicolás Navarro-Guerrero.

Keywords

Haptic technologyComputer scienceArtificial intelligenceAmbiguityKinesthetic learningObject (grammar)Section (typography)Field (mathematics)Cognitive neuroscience of visual object recognitionComputer vision

AU Dataset for Visuo-Haptic Object Recognition for Robots

Abstract

Keywords

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