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Semi-supervised 3D object recognition through CNN labeling
(04/01/2018)
Despite the outstanding results of Convolutional Neural Networks (CNNs) in object recognition and classification, there are still some open problems to address when applying these solutions to real-world problems. Specifically, ...
Semantic Localization of a Robot in a Real Home
(11/21/2018)
In social robotics, it is important that a mobile robot knows where it is because it provides a starting point for other activities such as moving from one room to another. As a contribution to solving this problem in the ...
Automatic semantic maps generation from lexical annotations
(03/15/2018)
The generation of semantic environment representations is still an open problem in robotics. Most of the current proposals are based on metric representations, and incorporate semantic information in a supervised fashion. ...
Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot
(10/15/2018)
For a robot, the ability to adapt his knowledge automatically and customize its behavior is a key feature. Furthermore, a robot should be able to carry out its tasks at a long-term basis, performing it seamlessly in presence ...