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Implementation of "Safe Deep Learning-Based Global Path Planning Using a Fast Collision-Free Path Generator". We present a global path planning method in this project which is based on an LSTM model that predicts safe paths for the desired start and goal points in an environment with polygonal obstacles, using a new loss function (MSE-NER).

Home Page: https://github.com/our-projects-github/Safe-Deep-Learning-Based-Global-Path-Planning-Using-a-Fast-Collision-Free-Path-Generator

Jupyter Notebook 87.11% Python 12.89%
a-star ai2-thor ai2thor-environment artificial-intelligence bug-algorithms collision-avoidance deep-learning global-path-planning loss-functions lstm-neural-networks motion-planning neural-network obstacle-avoidance path-planning rrt

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