Abstract


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Click to download PDF version Click to download BibTeX data Clik to view abstract D. Chung, R. Hirata, T. N. Mundhenk, J. Ng, R. J. Peters, E. Pichon, A. Tsui, T. Ventrice, D. Walther, P. Williams, L. Itti, A New Robotics Platform for Neuromorphic Vision: Beobots, In: Lecture Notes in Computer Science, Vol. 2525, pp. 558-566, Nov 2002.

Abstract: This paper is a technical description of a new mobile robotics platform specifically designed for the implementation and testing of neuromorphic vision algorithms in unconstrained outdoors environments. The platform is being developed by a team of undergraduate students with graduate supervision and help. Its distinctive features include significant computational power (four 1.4GHz CPUs with gigabit interconnect), high-speed four-wheel-drive chassis, standard Linux operating system, and a comprehensive toolkit of C++ vision classes. The robot is designed with two major goals in mind: real-time operation of sophisticated neuromorphic vision algorithms, and off-the-shelf components to ensure rapid technological evolvability. A preliminary embedded neuromorphic vision architecture that includes attentional, gist/layout, object recognition, and high-level decision subsystems is finally described.

Themes: Beobots, Computational Modeling, Model of Bottom-Up Saliency-Based Visual Attention, Computer Vision

 

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