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Behavioral planning deals with high-level decision making for autonomous agents, determining what actions to take at a strategic level before motion planning handles the detailed trajectory.

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Key Concepts

  • Finite State Machines (FSM): State-based behavior selection
  • Behavior Trees: Hierarchical task decomposition
  • Decision Making Under Uncertainty: Handling partial observability
  • Rule-Based Systems: Condition-action pairs for reactive behaviors
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