Listar ICC_Articles por autoría "a7076f4d-4de2-4c36-b2cc-7b17a8caaab0"
Mostrando ítems 1-5 de 5
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A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot
Antonelli, Marco; Durán Bosch, Angel Juan; del Pobil, Angel P. IEEE Transactions on Autonomous Mental Development (2014-06-26)Reaching a target object in an unknown and unstructured environment is easily performed by human beings. However, designing a humanoid robot that executes the same task requires the implementation of complex abilities, ... -
Integrating sensor models in deep learning boosts performance: application to monocular depth estimation in warehouse automation
Yoneyama, Ryota; Durán Bosch, Angel Juan; del Pobil, Angel P. MDPI (2021-02-19)Deep learning is the mainstream paradigm in computer vision and machine learning, but performance is usually not as good as expected when used for applications in robot vision. The problem is that robot sensing is ... -
Learning the visual-oculomotor transformation: Effects on saccade control and space representation
Antonelli, Marco; Durán Bosch, Angel Juan; Chinellato, Eris; del Pobil, Angel P. Elsevier (2015-09)Active eye movements can be exploited to build a visuomotor representation of the surrounding environment. Maintaining and improving such representation requires to update the internal model involved in the generation of ... -
Predicting the internal model of a robotic system from its morphology
Durán Bosch, Angel Juan; del Pobil, Angel P. Elsevier (2018)The estimation of the internal model of a robotic system results from the interaction of its morphology, sensors and actuators, with a particular environment. Model learning techniques, based on supervised machine learning, ... -
Robot depth estimation inspired by fixational movements
Durán Bosch, Angel Juan; del Pobil, Angel P. Institute of Electrical and Electronics Engineers (2020-09-18)Distance estimation is a challenge for robots, human beings and other animals in their adaptation to changing environments. Different approaches have been proposed to tackle this problem based on classical vision algorithms ...