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Beobot path following from neural network learning (2003)

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Uploaded by on Jan 17, 2007

The beobot has used a neural network to learn the frequency spectra of the path it will follow. It does so very well even when an unexpected pedestrian passes by.

see:

T N Mundhenk, C Ackerman, D Chung, N Dhavale, B Hudson, R Hirata, E Pichon, Z Shi, A Tsui, L Itti (2003) Low-cost high-performance mobile robot design utilizing off-the-shelf parts and the Beowulf concept: the Beobot project, Proc. SPIE Conference on Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, 5267:293-303.

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Uploader Comments (mundhenk666)

  • Can you give it directions of some sort?

    As in take "next left" or a map path to follow?

    Or does it just go?

    This is very inspiring work. I want mine to follow directions or a point in space. I'm not quite sure how to present that.

  • Our lab is currently working on a newer version which does simultaneous localization and mapping using vision. However, this one just stays the course.

  • check out our robocode competition at codewarriorwanted

  • is that codewarriorwanted dot com?

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All Comments (14)

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  • @mundhenk666 Have you made it yet? :D

  • Never mind... Bio bot

  • How are you going to tell it where to go?

    Is the map going to be an image?

    How do you train your neural network? Evolution?

    I apologize for too many questions; I'm currently working on a similar project. I want to use the Evolution method for training. Have you looked into that?

  • Great result, well done!!!

  • well... considering it's a neural net robot couldn't the antenna be for telling the robot when it did something wrong?

  • Sure thing. Let me know if you need any help etc. We have a discusion board at iLab that I check.

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