Region-Guided Rapidly Exploring Random Tree for Sampling-based Path Planning. We defined a region with high value and increase the probability of sampling in this region. After exploring the high-value region, we increase the probability of sampling towards the destination.
# environment
torch
# map generate
run map_gen.ipynb
# training
python FCN.py
# region-rrt test
python main.py
map
region
RRT
Region_RRT
performance
