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Shenoi et al., 2016 - Google Patents

A CRF that combines touch and vision for haptic mapping

Shenoi et al., 2016

View PDF
Document ID
3094429366364814595
Author
Shenoi A
Bhattacharjee T
Kemp C
Publication year
Publication venue
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

External Links

Snippet

Robots could benefit from maps that represent haptic properties of their surroundings. By touching locations with tactile sensors, robots can infer haptic properties of their surroundings, but touching all locations would be prohibitive. We present an algorithm that …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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