behavior-trees-skill

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Behavior tree design and implementation for robot decision making

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Behavior Trees Skill ## Overview Expert skill for designing and implementing behavior trees for robot decision making, task sequencing, and reactive behaviors. ## Capabilities - Design behavior trees for complex robot behaviors - Configure BehaviorTree.CPP nodes and trees - Implement custom action, condition, and decorator nodes - Set up blackboard for state sharing - Configure subtrees and tree switching - Implement reactive behaviors and fallbacks - Debug behavior tree execution with Groot - Set up behavior tree logging and analysis - Configure timeout and recovery behaviors - Implement parallel and sequence nodes ## Target Processes - nav2-navigation-setup.js - autonomous-exploration.js - multi-robot-coordination.js - hri-interface.js ## Dependencies - BehaviorTree.CPP - Groot - nav2_behavior_tree ## Usage Context This skill is invoked when processes require complex decision-making logic, task sequencing, or reactive robot behaviors. ## Output Artifacts - Behavior tree XML definitions - Custom BT node implementations - Blackboard configurations - Groot visualization setups - Recovery behavior designs - BT logging configurations

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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