Now showing items 1-5 of 5
Automatic semantic maps generation from lexical annotations
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. ...
How to add new knowledge to already trained deep learning models applied to semantic localization
The capacity of a robot to automatically adapt to new environments is crucial, especially in social robotics. Often, when these robots are deployed in home or office environments, they tend to fail because they lack the ...
Semantic Localization of a Robot in a Real Home
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 ...
Semi-supervised 3D object recognition through CNN labeling
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, ...
An augmented reality application for improving shopping experience in large retail stores
In several large retail stores, such as malls, sport or food stores, the customer often feels lost due to the difficulty in finding a product. Although these large stores usually have visual signs to guide customers toward ...