Next Article in Journal
INSPEX: Optimize Range Sensors for Environment Perception as a Portable System
Next Article in Special Issue
A Framework for Automated Acquisition and Processing of As-Built Data with Autonomous Unmanned Aerial Vehicles
Previous Article in Journal
Machine Learning for LTE Energy Detection Performance Improvement
Previous Article in Special Issue
Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array
Open AccessArticle

Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones

German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Weßling, Germany
Author to whom correspondence should be addressed.
Sensors 2019, 19(19), 4349;
Received: 30 August 2019 / Revised: 27 September 2019 / Accepted: 5 October 2019 / Published: 8 October 2019
This paper presents a beehive-inspired multi-agent drone system for autonomous information collection to support the needs of first responders and emergency teams. The proposed system is designed to be simple, cost-efficient, yet robust and scalable at the same time. It includes several unmanned aerial vehicles (UAVs) that can be tasked with data collection, and a single control station that acts as a data accumulation and visualization unit. The system also provides a local communication access point for the UAVs to exchange information and coordinate the data collection routes. By avoiding peer-to-peer communication and using proactive collision avoidance and path-planning, the payload weight and per-drone costs can be significantly reduced; the whole concept can be implemented using inexpensive off-the-shelf components. Moreover, the proposed concept can be used with different sensors and types of UAVs. As such, it is suited for local-area operations, but also for large-scale information-gathering scenarios. The paper outlines the details of the system hardware and software design, and discusses experimental results for collecting image information with a set of 4 multirotor UAVs at a small experimental area. The obtained results validate the concept and demonstrate robustness and scalability of the system. View Full-Text
Keywords: information gathering; multi-robot systems; autonomous robots; drones information gathering; multi-robot systems; autonomous robots; drones
Show Figures

Figure 1

MDPI and ACS Style

Viseras, A.; Wiedemann, T.; Manss, C.; Karolj, V.; Shutin, D.; Marchal, J. Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones. Sensors 2019, 19, 4349.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop