@inproceedings{Itti03nips,
  title = {The Beobot Platform for Embedded Real-Time Neuromorphic Vision},
  author = {L. Itti},
  abstract = {We demonstrate a new mobile robotics platform designed for the implementation and testing of neuromorphic vision algorithms in unconstrained outdoors environments. It 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 showcased (see http://iLab.usc.edu/beobots/ for additional information).},
  year = {2003},
  publisher = {MIT Press},
  editor = {T. G. Dietterich and S. Becker and Z. Ghahramani},
  address = {Cambridge, MA},
  booktitle = {Advances in Neural Information Processing Systems, Vol. 15, Hardware Demo Track},
  type = {mod;bu;bb;sc;cv},
  keywords = {Robotics ; Neuromorphic Engineering ; Computational Modeling ; Visual Processing ; Visual Attention},
  file = {http://iLab.usc.edu/publications/doc/Itti03nips.pdf},
  review = {abs/conf},
}