🤖 AI Summary
This work addresses the high power consumption, cost, and scalability limitations of existing aerially deployed sensors that rely on active actuators for in-flight attitude control. The authors propose a passive elastic folding hinge mechanism enabling sensors to autonomously transform from a flat, stacked configuration into a three-dimensional structure upon deployment—without requiring additional energy or complex control systems. A novel single-step thermoforming process programs the folding angles, while integration with commercial laminated sheets and rigid PCBs facilitates scalable manufacturing without specialized equipment. A geometric–mechanical model guides the design, and experiments demonstrate precise control over folding angles within a 10°–100° range (standard deviation: 4°) with high repeatability. Field tests successfully achieved LoRa communication, and simulations indicate a deployment coverage exceeding 10 kilometers.
📝 Abstract
Air-dispersed sensor networks deployed from aerial robotic systems (e.g., UAVs) provide a low-cost approach to wide-area environmental monitoring. However, existing methods often rely on active actuators for mid-air shape or trajectory control, increasing both power consumption and system cost. Here, we introduce a passive elastic-folding hinge mechanism that transforms sensors from a flat, stackable form into a three-dimensional structure upon release. Hinges are fabricated by laminating commercial sheet materials with rigid printed circuit boards (PCBs) and programming fold angles through a single oven-heating step, enabling scalable production without specialized equipment. Our geometric model links laminate geometry, hinge mechanics, and resulting fold angle, providing a predictive design methodology for target configurations. Laboratory tests confirmed fold angles between 10 degrees and 100 degrees, with a standard deviation of 4 degrees and high repeatability. Field trials further demonstrated reliable data collection and LoRa transmission during dispersion, while the Horizontal Wind Model (HWM)-based trajectory simulations indicated strong potential for wide-area sensing exceeding 10 km.