Farm Field Coverage Path Planning for Autonomous DOT Vehicles using Reeb Graphs and Reinforced Learning

The objective of this project is to develop full-coverage path plans for an autonomous vehicle, designed and developed by DOT Technology Corp., operating in a farm field. Conventional methods used in the realm of computational geometry, such as: (a) converting a digital representation of the physical space, i.e., the farm field of interest, to a […]

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