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Now showing items 11-13 of 13
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. ...
How to add new knowledge to already trained deep learning models applied to semantic localization
(06/19/2019)
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 ...
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 ...