High-resolution outdoor videography of insects using Fast Lock-On tracking

Insects have important roles globally in ecology, economy, and health, yet our understanding of their behavior remains limited. Bees, for example, use vision and a tiny brain to find flowers and return home, but understanding how they perform these impressive tasks has been hampered by limitations in recording technology. Here, we present Fast Lock-On (FLO) tracking. This method moves an image sensor to remain focused on a retroreflective marker affixed to an insect. Using paraxial infrared illumination, simple image processing can localize the sensor location of the insect in a few milliseconds. When coupled with a feedback system to steer a high-magnification optical system to remain focused on the insect, a high-spatiotemporal resolution trajectory can be gathered over a large region. As the basis for several robotic systems, we show that FLO is a versatile idea that can be used in combination with other components. We demonstrate that the optical path can be split and used for recording high-speed video. Furthermore, by flying an FLO system on a quadcopter drone, we track a flying honey bee and anticipate tracking insects in the wild over kilometer scales. Such systems have the capability to provide higher-resolution information about insects behaving in natural environments and as such will be helpful in revealing the biomechanical and neuroethological mechanisms used by insects in natural settings.

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Institutions

Publication Details

Journal
Science Robotics
Published
2024-10-16
DOI
https://doi.org/10.1126/scirobotics.adm7689
Citations
16
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
16.47
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article

High-resolution outdoor videography of insects using Fast Lock-On tracking

Victor V. Titov, Michael J. M. Harrap, Andrew Straw, T. Thang Vo‐Doan et al.
16 citations
Science Robotics
Plant and animal studies
16.47
article

High-resolution outdoor videography of insects using Fast Lock-On tracking

Victor V. Titov, Michael J. M. Harrap, Andrew Straw, T. Thang Vo‐Doan, Stephan Lochner
article en
16 citations

Abstract

Insects have important roles globally in ecology, economy, and health, yet our understanding of their behavior remains limited. Bees, for example, use vision and a tiny brain to find flowers and return home, but understanding how they perform these impressive tasks has been hampered by limitations in recording technology. Here, we present Fast Lock-On (FLO) tracking. This method moves an image sensor to remain focused on a retroreflective marker affixed to an insect. Using paraxial infrared illumination, simple image processing can localize the sensor location of the insect in a few milliseconds. When coupled with a feedback system to steer a high-magnification optical system to remain focused on the insect, a high-spatiotemporal resolution trajectory can be gathered over a large region. As the basis for several robotic systems, we show that FLO is a versatile idea that can be used in combination with other components. We demonstrate that the optical path can be split and used for recording high-speed video. Furthermore, by flying an FLO system on a quadcopter drone, we track a flying honey bee and anticipate tracking insects in the wild over kilometer scales. Such systems have the capability to provide higher-resolution information about insects behaving in natural environments and as such will be helpful in revealing the biomechanical and neuroethological mechanisms used by insects in natural settings.

Science RoboticsVol. 9(95)
University of Freiburg (DE), Bernstein Center for Computational Neuroscience Freiburg (DE)
Openalex Percentile: Top 1%
Plant and animal studies
16.47
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High-resolution outdoor videography of insects using Fast Lock-On tracking — Victor V. Titov, Michael J. M. Harrap, et al. · Science Robotics (2024) | TGRS Research Map | TGRS