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Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged
(12/02/2018)
The accelerated growth of the percentage of elder people and persons with brain injury-related conditions and who are intellectually challenged are some of the main concerns of the developed countries. These persons often ...
Computing Image Descriptors from Annotations Acquired from External Tools
(11/28/2015)
Visual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative ...
Object Recognition in Noisy RGB-D Data
(01/01/2015)
The object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with noisy clouds through the use of the Growing Neural ...
Irrigation System Through Intelligent Agents Implemented With Arduino Technology
(11/01/2013)
The water has become in recent years a valuable and increasingly scarce. Its proper use in agriculture has demanded incorporate new technologies, mainly in the area of ICT. In this paper we present a smart irrigation system ...
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
(08/23/2013)
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 ...
Using GNG on 3D Object Recognition in Noisy RGB-D data
(10/01/2015)
The object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with the noise in the clouds through the use of 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, ...
Object recognition in noisy RGB-D data using GNG
(Pattern 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 ...
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 ...