학술논문

SwarmHive: Heterogeneous Swarm of Drones for Robust Autonomous Landing on Moving Robot
Document Type
Conference
Source
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) Vehicular Technology Conference (VTC2022-Spring), 2022 IEEE 95th. :1-5 Jun, 2022
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Vehicular and wireless technologies
Computer vision
Robot vision systems
Maintenance engineering
Inspection
Trajectory
Vehicle dynamics
Heterogeneous Multi-robot Systems
UAV
Leader-Follower Hierarchy
Computer Vision
Artificial Potential Fields
Language
ISSN
2577-2465
Abstract
The paper focuses on a heterogeneous swarm of drones to achieve a dynamic landing of formation on a moving robot. This challenging task was not yet achieved by scientists. The key technology is that instead of facilitating each agent of the swarm of drones with computer vision that considerably increases the payload and shortens the flight time, we propose to install only one camera on the leader drone. The follower drones receive the commands from the leader UAV and maintain a collision-free trajectory with the artificial potential field. The experimental results revealed a high accuracy of the swarm landing on a static mobile platform (RMSE of 4.48 cm). RMSE of swarm landing on the mobile platform moving with the maximum velocities of 1.0 m/s and 1.5 m/s equals 8.76 cm and 8.98 cm, respectively. The proposed SwarmHive technology will allow the time-saving landing of the swarm for further drone recharging. This will make it possible to achieve self-sustainable operation of a multi-agent robotic system for such scenarios as rescue operations, inspection and maintenance, autonomous warehouse inventory, cargo delivery, and etc.