We recently finished our proof-of-concepts experiments with on-line evolution. In on-line evolution a human trainer drives the robot and while the robot is being driven it is learning (via an evolutionary algorithm) to imitate the human’s control behaviors. After a … Continue reading
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The code for the paper on on-board, evolved path following is now available via bit-bucket at bitbucket.org/uidaholair/learning-from-demonstration-for-encapsulated-evolution-of. It runs on two android phones. One phone acts as the robot’s “brains”, including performing all of the image processing and running the … Continue reading
Last semester (Spring 2013) we implemented a clicker training algorithm. Clicker training is regularly used with dogs (and other animals) as a way of shaping behaviors. In our robotic clicker training the trainer supplies positive and negative feedback to train … Continue reading
We’ve now added android code for basic color following, follow the Android Color Following link on the right to access the code and install instructions.
Just added a page with more advanced Arduino code (see the link on the right). This allows the same ‘spinal column’ to receive either simple or complex messages (e.g. just “go forward” or to set specific motors to specific speeds). … Continue reading
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Thanks to Dallas’ hard work we can now have (small) armies of semi-autonomous, tele-operated bots. The bots do color following and stream their video to a webpage. The operator drives the bot at the front of the line via a virtual joystick (see image) and … Continue reading