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York Jong's Library tagged behavior-based   View Popular

13 Jun 07

A Bot With Peripheral Vision

  • I wanted to share an adaptation of the Schead v4, that I have been experimenting with. It is (for lack of a better term) a Master/Slave Schmitt Comparitor Head (M/S SC-H). With the addition of a 74 AC 240 or two (as motor drivers) and a pair of motors, you can put together an interesting little light seeking, wheeled robot with peripheral vision.
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07 Jun 07

The Basics of Robot Control

  • Think hard, then act
  • Don't think, (re)act
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Behaviour Based Robotics vs. Deliberative Robotics

  • The robots do not build a model
    of their world they simply act in response to the things they encounter
    whilst existing there.
  • This form of robotics has proved to be
    successful in environments that are unknown to the robot, environments
    that are busy or noisy such as a place with moving objects or people
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Facilitating Robot Learning

  • multi-robot learning
  • learning by imitation
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Behavior-Based Control: A Brief Primer

  • Note that
    behaviors themselves can have state, and can form representations when
    networked together. Thus, unlike reactive systems, behavior-based
    systems are not limited in their expressive and learning capabilities.
  • behavior-based systems attempt to make the
    representation, and thus the time-scale, of the system uniform.
    Behavior-based representations are parallel, distributed, and active
03 Jun 07

Stacked Behaviors

  • Stacking separate Sensor/Behavior circuits onto a robot. - yorkjong on 2007-05-30
  • The image “http://www.geocities.com/droidmakr/StackedBehaviors.gif” cannot be displayed, because it contains errors.

Robot Programming : A Practical Guide to Behavior-Based Robotics

  • Behavior-based robotics is quite simply the design of robots where there are no internal "models" of the environment. Instead, the robot's action is state-machine driven via inputs gleaned from the robot's sensors.
27 May 07

Basis Behaviors

  • The basis behavior set of a system provides
    elements that are not further reducible to each other and that, when
    composed by sequential or concurrent execution, produce the complete
    behavior repertoire for the system.
  • Such basis behaviors are
    constructed, learned, or evolved from stable, robust interaction
    dynamics between the agent/robot and its environment, and serve as a
    substrate for the system's more complex behaviors.
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