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Robot Semantic Localization Through CNN Descriptors
(11/12/2017)
Semantic localization for mobile robots involves an accurate determination of the kind of place where a robot is located. Therefore, the representation of the knowledge of this place is crucial for the robot. In this paper ...
Object recognition in noisy RGB-D data using GNG
(Pattern Analysis and ApplicationsPattern Analysis and Applications, 04/26/2016)
Object recognition in 3D scenes is a research field in which there is intense activity guided by the problems related to the use of 3D point clouds. Some of these problems are influenced by the presence of noise in the ...
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, ...
Scene classification based on semantic labeling
(07/14/2015)
Finding an appropriate image representation is a crucial problem in robotics. This problem has been classically addressed by means of computer vision techniques, where local and global features are used. The selection ...
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 ...
Application of pedagogical robotics in learning for children with special needs APRoLeCSNe
(08/21/2013)
APRoLeCSNe is a project that presents the approach of pedagogical robotics to support the learning methods for children with special learning needs (CSLN). Pedagogical Robotics focuses on inductive learning and guided ...
LexToMap: lexical-based topological mapping
(11/30/2016)
Any robot should be provided with a proper representation of its environment in order to perform navigation and other tasks. In addition to metrical approaches, topological mapping generates graph representations in which ...
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 ...
Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras
(01/09/2019)
Surveillance systems are quite common in almost every building. The current dimension of these systems is huge and involves a great deal of hardware and human resources for achieving these objectives. This paper proposes ...