Paper
6 December 2002 Toward highly capable neuromorphic autonomous robots: beobots
Author Affiliations +
Abstract
We describe a new mobile robotics platform specifically designed for the implementation and testing of neuromorphic vision algorithms in unconstrained outdoors environments. The new platform includes significant computational power (four 1.1GHz CPUs with gigabit interconnect), a 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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Laurent Itti "Toward highly capable neuromorphic autonomous robots: beobots", Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); https://doi.org/10.1117/12.455857
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Cited by 2 scholarly publications.
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KEYWORDS
C++

Detection and tracking algorithms

Fuzzy systems

Neural networks

Object recognition

Operating systems

Robotics

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