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).

Path Planning with Reinforcement Learning algorithms in an unknown environment

Official TensorFlow code for the paper "DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation".

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).

Official TensorFlow code for the paper "Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering" presented at ECML PKDD 2022.

Landmark based FastSLAM implementation followed by global path planning for a small four wheeled robot

Codes related with global / local path planner and cost maps

ROS noetic global planner plugin for RRT algorithm and its variants. This is my MTech final year project.

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).

Genetic Algorithm for Global Path Planning