A new sampling-based planner, LIT*, dynamically tunes batch size and nearest-neighbor count using a fuzzy DDPG tensor, and claims faster convergence and lower path cost in R4-R16 and dual-arm manipulation.
Rapidly-exploring random trees: A new tool for path planning,
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Deep Fuzzy Optimization for Batch-Size and Nearest Neighbors in Optimal Robot Motion Planning
A new sampling-based planner, LIT*, dynamically tunes batch size and nearest-neighbor count using a fuzzy DDPG tensor, and claims faster convergence and lower path cost in R4-R16 and dual-arm manipulation.