Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Novel Biologically Inspired Attention Mechanism for a Social Robot | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 841078 10 pages doi 2011 841078 Research Article A Novel Biologically Inspired Attention Mechanism for a Social Robot Antonio Jesus Palomino Rebeca Marfil Juan Pedro Bandera and Antonio Bandera Grupo ISIS Departamento de Tecnologia Electronica . Telecomunicación Universidad de Malaga Campus de Teatinos 29071 Malaga Spain Correspondence should be addressed to Antonio Bandera ajbandera@ Received 16 June 2010 Revised 8 October 2010 Accepted 19 November 2010 Academic Editor Steven McLaughlin Copyright 2011 Antonio Jesus Palomino et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. In biological vision systems the attention mechanism is responsible for selecting the relevant information from the sensed field of view. In robotics this ability is specially useful because of the restrictions in computational resources which are necessary to simultaneously perform different tasks. An emerging area in robotics is developing social robots which are capable to navigate and to interact with humans and with their environment by perceiving the real world in a similar way that people do. In this proposal we focus on the development of an object-based attention mechanism for a social robot. It consists of three main modules. The first one preattentive stage implements a concept of saliency based on proto-objects. In the second stage semiattentive significant items according to the tasks to accomplish are identified and tracked. Finally the attentive stage fixes the field of attention to the most salient object depending on the current task. 1. Introduction In the last few years emphasis has increased in the development of robot vision systems according to the model of natural vision due to its .
