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Engineering News<br>ResearchNew Spinning Drone Hides in Plain Sight<br>‘Phantom Twist’ harnesses motion blur to nearly vanish in flight

Jul 16, 2026Amanda Morris

The Problem<br>Conventional drones can disturb wildlife, people, and environments because they are easily seen and noticed.

Our Idea<br>Instead of camouflaging a drone’s appearance, researchers designed its entire body to spin rapidly and exploit motion blur to make it far less perceptible to human vision.

Why It Matters<br>A low-visibility drone could monitor wildlife, survey environments, and inspect infrastructure while causing less visual disruption.

Our Team<br>Professors Michael Rubenstein, Emma Alexander, Sam Kriegman; Postdoctoral researcher David Matthews; PhD graduate Jingxian Wang; PhD student Jingxian Wang

By exploiting the quirks of human vision, Northwestern Engineering researchers have designed a drone that nearly disappears right before the eyes.

For years, researchers have tried to design invisible drones and robots using camouflage, transparent materials, or light-bending optical systems. But the Northwestern team instead used a concept called "motion blur"—the same effect that makes fast-spinning fans and propellers seem to disappear.

Called the "Phantom Twist," the drone spins up to 25 times per second, which is too fast for the human eye to see clearly. While it isn’t completely invisible, it morphs into a ghostly smudge that seamlessly blends into the background. The work eventually could lead to drones that monitor wildlife, survey the environment, and inspect infrastructure with less visual disruption.

The Northwestern team presented this work July 16 at Robotics: Science and Systems 2026 in Sydney, Australia. The talk, "Computational Design of a Low-Visibility UAV Using Human-Aligned Perceptual Metric," was part of the session "Robot & Sensor Design."

"Most efforts to hide drones focus on making them look like their surroundings," said Northwestern’s Michael Rubenstein, who led the work. "Instead, we asked whether we could design the drone itself around the way humans perceive motion. This idea of low visibility through persistent motion is something few people have explored."

An expert in robotics design, Rubenstein is an associate professor of computer science and mechanical engineering at Northwestern’s McCormick School of Engineering, where he is a member of the Center for Robotics and Biosystems. Northwestern coauthors include Emma Alexander, an assistant professor of computer science at McCormick; Sam Kriegman, an assistant professor of computer science, mechanical engineering, and chemical and biological engineering at McCormick; and David Matthews, a postdoctoral researcher in Kriegman’s lab. The study’s co-first authors are Jingxian Wang, a PhD graduate from Rubenstein’s lab, and Chen Yu, a PhD student in Kriegman’s lab.

Most efforts to hide drones focus on making them look like their surroundings. Instead, we asked whether we could design the drone itself around the way humans perceive motion.<br>Michael Rubenstein Associate Professor of Computer Science and Mechanical Engineering

Hiding in plain sight

Whether monitoring nesting birds, surveying wetlands, or inspecting aging infrastructure, drones often alter natural behavior simply because people or animals notice them. The disruption can cause wildlife to scatter and people to behave differently. A drone that’s harder to see, on the other hand, could perform the same tasks while blending into its surroundings.

While most attempts to hide drones focus on changing how they look, Northwestern’s engineers instead changed how people—and many animals—see them. Unlike a typical quadcopter with four separate rotors, Phantom Twist has one motor and one propeller. The propeller spins in one direction, and the rest of the drone spins in the opposite direction.

"For a typical quadrotor drone, the propellers are spinning, but the robot is stationary," Rubenstein said. "So, you still see its body. For our drone, the whole thing is rotating, so there are no stationary parts."

Searching for the unseen

To design the drone, the Northwestern team first used a computational model to generate roughly 20,000 drone configurations capable of stable flight. Then, they used AI and optimization algorithms to repeatedly rearrange the drones’ major components, including a motor, propeller, circuit board, counterweight, and batteries.

After sifting through many different configurations, the algorithms determined the ideal placement of the drone’s components to minimize its visibility from virtually every viewing angle while allowing for stable flight.

After selecting promising candidates, the engineers simulated each drone spinning in flight and overlaid those images a hundred real-world...