[2605.11296] Computational Design of a Low-Visibility UAV Using a Human-Aligned Perceptual Metric
[Submitted on 11 May 2026]
Title:Computational Design of a Low-Visibility UAV Using a Human-Aligned Perceptual Metric
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Abstract:We introduce Phantom Twist, a type of single-propeller UAV designed to achieve low visibility through high-speed spinning and the exploitation of motion blur. We develop a two-stage automated design pipeline that optimizes the placement of functional components including batteries, control PCB, motor-propeller assembly, and counterweights. The pipeline minimizes visibility as measured by a human-aligned perceptual metric (LPIPS) while strictly satisfying inertial and aerodynamic constraints required for stable flight. We validate this approach through fabrication and flight testing of multiple prototypes. These tests confirm that our pipeline produces stable, controllable designs and that the optimized UAV exhibits significantly reduced visual perceptibility compared to conventional quadcopters.
Comments: Accepted by RSS 2026
Subjects:
Robotics (cs.RO); Systems and Control (eess.SY)
Cite as: arXiv:2605.11296 [cs.RO]
(or arXiv:2605.11296v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2605.11296
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Jingxian Wang [view email] [v1] Mon, 11 May 2026 22:32:18 UTC (9,259 KB)
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