Now showing items 21-25 of 25

    • Scene Understanding for Mobile Robots Exploiting Deep Learning Techinques 

      Rangel, José Carlos (2017-09-05)
      Every day robots are becoming more common in the society. Consequently, they must have certain basic skills in order to interact with humans and the environment. One of these skills is the capacity to understand the places ...
    • Semantic Localization of a Robot in a Real Home 

      Bauer, Zuria; Rangel, José Carlos; Cazorla, Miguel; Gomez Donoso, Francisco (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 ...
    • Semi-supervised 3D object recognition through CNN labeling 

      Rangel, José Carlos; Martínez Gómez, Jesus; Romero González, Cristina; García Varea, Ismael; Cazorla, Miguel (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, ...
    • Sign language recognition with machine learning for elementary school children 

      Bodmer, Richard; Liu, Lucia; Liu, Winson; Rangel, José Carlos
    • Using GNG on 3D Object Recognition in Noisy RGB-D data 

      Rangel, José Carlos; Morell, Vicente; Cazorla, Miguel; Orts-Escolano, Sergio; García Rodríguez, José (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 ...