Abstract: Systems and methods for autonomous vehicle path planning are described herein. An example vehicle includes an image sensor to obtain an image of a scene of an area surrounding the vehicle. The vehicle also includes navigation system circuitry to: analyze the image and generate a semantically segmented image that identifies one or more types of features in the image; project the semantically segmented image to a two-dimensional (2D) map projection; convert the 2D map projection into a cost map; and determine a path for the vehicle based on the cost map.

Abstract: A method for implementing machining tasks for an object. The method identifies location coordinates for a plurality of holes. A task file contains the machining tasks. The robotic devices use the task files to perform the machining tasks. A minimum number of positioning stations is determined where a portion of the machining tasks will be performed by the robotic devices. An ordered sequence for performing the machining tasks is calculated and path a path with the near-minimum distance is determined. Robotic control files are created that cause the robotic devices to perform the machining tasks. The robotic control files are output to the robotic devices to perform the machining tasks to form the plurality of holes.

Abstract: A method for implementing machining tasks for an object. The method identifies location coordinates for a plurality of holes. A task file contains the machining tasks. The robotic devices use the task files to perform the machining tasks. A minimum number of positioning stations is determined where a portion of the machining tasks will be performed by the robotic devices. An ordered sequence for performing the machining tasks is calculated and path a path with the near-minimum distance is determined. Robotic control files are created that cause the robotic devices to perform the machining tasks. The robotic control files are output to the robotic devices to perform the machining tasks to form the plurality of holes.