Exploiting Light To Enhance The Endurance and Navigation of Lighter-Than-Air Micro-Drones
Harry Huang, Talia Xu, and Marco Z\'u\~niga Zamalloa

TL;DR
This paper presents a novel light-powered, self-sustaining LTA drone that combines aerodynamics simulation, solar energy harvesting, and light-based navigation to enable persistent autonomous operation in various environments.
Contribution
It introduces an integrated system with a simulation framework, solar energy harvesting on the envelope, and light-seeking navigation algorithms for LTA micro-drones.
Findings
Enables 1 minute of flight per 4 minutes of energy harvesting at 80klux illumination.
Demonstrates robust navigation towards a light source up to 7 meters away.
Shows potential for persistent autonomous indoor and outdoor monitoring.
Abstract
Micro-Unmanned Aerial Vehicles (UAVs) are rapidly expanding into tasks from inventory to environmental sensing, yet their short endurance and unreliable navigation in GPS-denied spaces limit deployment. Lighter-Than-Air (LTA) drones offer an energy-efficient alternative: they use a helium envelope to provide buoyancy, which enables near-zero-power drain during hovering and much longer operation. LTAs are promising, but their design is complex, and they lack integrated solutions to enable sustained autonomous operations and navigation with simple, low-infrastructure. We propose a compact, self-sustaining LTA drone that uses light for both energy harvesting and navigation. Our contributions are threefold: (i) a high-fidelity simulation framework to analyze LTA aerodynamics and select a stable, efficient configuration; (ii) a framework to integrate solar cells on the envelope to provide…
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Taxonomy
TopicsBiomimetic flight and propulsion mechanisms · Micro and Nano Robotics · Aerospace Engineering and Energy Systems
