Interactive Multi-Robot Aerial Cinematography Through Hemispherical Manifold Coverage
Xiaotian Xu, Guangyao Shi, Pratap Tokekar, Yancy Diaz-Mercado
Abstract
This paper presents a distributed interactive framework to provide high-level position instructions for multi-robot aerial cinematography based on coverage over a hemisphere. The control strategy based on optimization of the coverage functional and geometric relationships over a hemisphere is presented. It enables multiple Unmanned Aerial Vehicles (UAVs) to coordinate their motion while tracking a dynamic (real or virtual) target, and can accommodate high-level human inputs to influence UAV concentration. In this framework, each UAV uses local information combined with exogenous inputs to determine its motion. The two inputs to the system, i.e., the predicted trajectory of the target and user-defined aesthetic preferences, are agnostic to the size of the multi-robot system (MRS). The proposed framework is validated using the PX4 SITL Autopilot simulator in Gazebo, and the scalability of the framework is verified via simulations.
BibTeX
@inproceedings{iros2022_interactivemulti,
title = {Interactive Multi-Robot Aerial Cinematography Through Hemispherical Manifold Coverage},
author = {Xiaotian Xu and Guangyao Shi and Pratap Tokekar and Yancy Diaz-Mercado},
booktitle = {IROS 2022},
year = {2022}
}