|Description:||Unmanned aerial vehicles have found their use in a variety of applications. They are fast, agile, can traverse over objects, and therefore are not bound by the type of terrain in the field of operation. At the same time, they are highly energy inefficient, limiting their flight time and, therefore, the duration of their operation. On the other hand, ground vehicles are more durable and can function for a considerably longer time, but suffer from dependence on the structure of the environment which can affect their mobility and trajectory, sometimes negatively, increasing the time required to complete a task.
Our goal is to develop a planner for a transforming air-land vehicle that can take the energy consumption into account to optimize the vehicle's path and mode of traversal. This project will involve developing such a system and verifying it in a simulated environment. Given enough time, we will also test it on a real drone.