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Single and Multiple View Support Order Prediction in Clutter for Manipulation
Robotic manipulation of objects in clutter remains a challenging problem to date. The challenge is posed by various levels of complexity involved in interaction among objects. Understanding these semantic interactions among ...
Learning multiple experiences useful visual features for active maps localization in crowded environments
(TAYLOR & FRANCIS LTD, 2016-01-02)
Crowded urban environments are composed of different types of dynamic and static elements. Learning and classification of features is a major task in solving the localization problem in such environments. This work presents ...