Sensors & Transducers
Vol. 268, Issue 1, April 2025, pp. 37-44
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A COTS-based Lightweight, Low-power and Versatile Companion Computer for Nano UAVs
Rintaro OKUDERA, Yixiao LI, Yutaka MATSUBARA and Hiroaki TAKADA
Received:29 Jan. 2025 /Revised: 14 March 2025 /Accepted:21 April 2025 /
​Published:30 April 2025
Abstract:
Recent advances in Unmanned Aerial Vehicles (UAVs) have driven a rapid expansion in their application domains,
ranging from logistics and surveillance to disaster relief and entertainment. In particular, Nano UAVs (weight: under 100 g)
offer significant advantages in cost, safety, and regulatory compliance. However, their limited payload capacity and the
high-power consumption of conventional control systems severely constrain flight time. Traditional companion computers
designed for computationally intensive tasks, such as image processing, often require 2-5 times more power and nearly double
the weight of the onboard flight controller, further exacerbating these limitations. In this study, we present a novel companion
computer based on Sony’s Spresense platform that is lightweight, low-power, and highly versatile. Weighing only 7 grams
and featuring a POSIXcompliant RTOS alongside a multicore architecture, the proposed solution is optimally tailored for
Nano UAV applications. Extensive HardwareintheLoop (HITL) evaluations demonstrate that our Spresensebased
system consumes only 1/18 the power of the Raspberry Pi 4 Model B while delivering comparable functionality. Moreover,
real Nano UAV tests using the Nano Mind 110 (weight: 36 g) confirm that integrating our companion computer results in only
a modest increase in overall power consumption, thus preserving flight time. Compared to current stateoftheart
approaches, our design effectively addresses challenges in availability, extensibility, and ease of development, offering a
costeffective and practical alternative for Nano UAV systems. Future work will extend these findings through further
realworld validations, including advanced navigation, obstacle avoidance, and ROSbased applications, to confirm the
robustness and scalability of our approach.
Keywords:
Nano UAVs, Low-power, Companion computer, Versatile UAV applications, POSIX-compliant RTOS.
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