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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



Graduate School of Informatics, Nagoya University, Nagoya 464-8601, Japan

E-mail: r_okudera@ertl.jp



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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