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Behavior-Based Control: A Brief Primer - 0 views

robotics.usc.edu/bbs.html

5star behavior-based delicious imported robot theory

shared by York Jong on 26 May 07 - Cached

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.
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York Jong on 26 May 07

Behavior-based controllers consist of a collection of behaviors. Behaviors are processes or control laws that achieve and/or maintain goals.

<div class="cArrow"> </div><div class="cContentInner">Behavior-based controllers consist of a collection of behaviors. Behaviors are processes or control laws that achieve and/or maintain goals.</div>

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Basis Behaviors - 0 views

www-robotics.usc.edu/...basis-behs.html

5star behavior-based delicious imported robot theory

shared by York Jong on 26 May 07 - Cached

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.
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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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My work generalized the notion of basis behaviors to multi-robot interactions, and demonstrated how a small set of basis behaviors per robot can be used to demonstrate a rich repertoire of individual and group-level behaviors, including following, flocking, homing, herding, aggregation, dispersion, and formations.
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York Jong on 26 May 07

In 1991 I introduced the notion of basis behaviors, a means for facilitating principled behavior synthesis and analysis in behavior-based systems.

<div class="cArrow"> </div><div class="cContentInner">In 1991 I introduced the notion of basis behaviors, a means for facilitating principled behavior synthesis and analysis in behavior-based systems.</div>

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Facilitating Robot Learning - 0 views

robotics.usc.edu/...learning.html

5star behavior-based delicious imitation imported learning multi-robot robot theory

shared by York Jong on 26 May 07 - Cached

multi-robot learning
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learning by imitation
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uncertainty, non-stationarity, and real-time constraints
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...12 more annotations...
innate structure and knowledge
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fast generalization
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social context
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complex ecological niche
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goals in parallel
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multitude of tasks
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gradually
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not optimality
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built-in structure
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structured reinforcement
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communication
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interaction with other agents
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York Jong on 26 May 07

In our own work, we pursue an experimental approach in two highly uncertain, dynamic, and high-dimensional domains: multi-robot learning, and learning by imitation. Both force us to deal with perceptual and action uncertainty, non-stationarity, and real-t

<div class="cArrow"> </div><div class="cContentInner">In our own work, we pursue an experimental approach in two highly uncertain, dynamic, and high-dimensional domains: multi-robot learning, and learning by imitation. Both force us to deal with perceptual and action uncertainty, non-stationarity, and real-t</div>

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