Toplam kayıt 3, listelenen: 1-3
Learning multiple experiences useful visual features for active maps localization in crowded environments
(Talyor and Francis, 2015-10)
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 ...
Path planning for visual servoing and navigation using convex optimization
(ACTA Press, 2015)
Exploiting visual cues to control systems for robotic applications is a promising idea. Practically, they are usable only if the end result accedes to the restrictions of the specific environment. These restrictions are ...
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 ...