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max_hybrid_paths: 24# Number of hybrid paths generated per iteration
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max_hybrid_paths: 8# Number of hybrid paths generated per iteration
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num_planners: 4# The number of default planners to use for planning
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planners: "RRTConnect"# A comma-separated list of planner types (e.g., "PRM,EST,RRTConnect"Optionally, planner parameters can be passed to change the default:"PRM[max_nearest_neighbors=5],EST[goal_bias=.5],RRT[range=10. goal_bias=.1]"
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planners: "RRTConnect[intermediate_states=0 range=0.05]"# A comma-separated list of planner types (e.g., "PRM,EST,RRTConnect"Optionally, planner parameters can be passed to change the default:"PRM[max_nearest_neighbors=5],EST[goal_bias=.5],RRT[range=10. goal_bias=.1]"
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SBLkConfigDefault:
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type: geometric::SBL
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range: 0.0# Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup()
@@ -46,7 +46,8 @@ planner_configs:
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goal_bias: 0.05# When close to goal select goal, with this probability? default: 0.05
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RRTConnectkConfigDefault:
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type: geometric::RRTConnect
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range: 0.0# Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup()
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intermediate_states: 0# Whether to add intermediate states to the plan, default 0
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range: 0.05# Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup()
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RRTstarkConfigDefault:
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type: geometric::RRTstar
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range: 3.0# Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() (in practice, for ADA, this default is ~7)
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