Embodied categorisation for vision-guided mobile robots |
| |
Authors: | Nick Barnes Zhi-Qiang Liu |
| |
Affiliation: | a Department of Computer Science and Software Engineering, The University of Melbourne, Victoria 3010, Australia b School of Creative Media, City University of Hong Kong, Kowloon, Hong Kong |
| |
Abstract: | This paper outlines a philosophical and psycho-physiological basis for embodied perception, and develops a framework for conceptual embodiment of vision-guided robots. We argue that categorisation is important in all stages of robot vision. Further, that classical computer vision is unsuitable for this categorisation, however, through conceptual embodiment, active perception can be effective. We present a methodology for developing vision-guided robots that applies embodiment, explicitly and implicitly, in categorising visual data to facilitate efficient perception and action. Finally, we present systems developed using this methodology, and demonstrate that embodied categorisation can make algorithms more efficient and robust. |
| |
Keywords: | Computer vision Robots Classification Situatedness Embodiment |
本文献已被 ScienceDirect 等数据库收录! |
|