GitHub / our-projects-github / Safe-Deep-Learning-Based-Global-Path-Planning-Using-a-Fast-Collision-Free-Path-Generator

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).

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Topics: 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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