A New Robotics Platform for Neuromorphic Vision: Beobots
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 1.1GHz 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.
Additional Information
© 2002 Springer. This work is supported the National Science Foundation, the National Eye Institute, the National Imagery and Mapping Agency, the Zumberge Research and Innovation Fund and the Charles Lee Powell Foundation.Additional details
- Eprint ID
- 120721
- Resolver ID
- CaltechAUTHORS:20230411-78060000.2
- NSF
- NIH
- National Imagery and Mapping Agency
- Zumberge Research and Innovation Fund
- Charles Lee Powell Foundation
- Created
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2023-04-12Created from EPrint's datestamp field
- Updated
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2023-04-12Created from EPrint's last_modified field
- Caltech groups
- Koch Laboratory (KLAB)
- Series Name
- Lecture Notes in Computer Science
- Series Volume or Issue Number
- 2525