Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals
This provides a user-friendly tool for end-users without deep expertise in quadrotor control, making advanced drone applications more accessible.
The paper tackles the problem of enabling novice users to create advanced quadrotor trajectories for applications like aerial videography and drone racing, by developing an optimization-based method that generates feasible real-world trajectories based on high-level user goals, demonstrated in several real-world scenarios.
In this paper we propose a computational design tool that al-lows end-users to create advanced quadrotor trajectories witha variety of application scenarios in mind. Our algorithm al-lows novice users to create quadrotor based use-cases withoutrequiring deep knowledge in either quadrotor control or theunderlying constraints of the target domain. To achieve thisgoal we propose an optimization-based method that gener-ates feasible trajectories which can be flown in the real world.Furthermore, the method incorporates high-level human ob-jectives into the planning of flight trajectories. An easy touse 3D design tool allows for quick specification and edit-ing of trajectories as well as for intuitive exploration of theresulting solution space. We demonstrate the utility of our ap-proach in several real-world application scenarios, includingaerial-videography, robotic light-painting and drone racing.