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Related Experiment Video

Updated: Dec 6, 2025

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
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Wireless steerable vision for live insects and insect-scale robots.

Vikram Iyer1,2, Ali Najafi3, Johannes James4

  • 1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. vsiyer@uw.edu gshyam@uw.edu.

Science Robotics
|October 6, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a wireless, steerable vision system for insect-scale robots, mimicking insect head motion. This system significantly reduces energy consumption for object tracking and wide-angle views compared to whole-body movement.

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Area of Science:

  • Robotics
  • Bio-inspired engineering
  • Computer vision

Background:

  • Insect vision systems are energy-intensive, leading to specialized regions of high acuity and independent head motion.
  • Understanding these natural trade-offs can inform the design of efficient robotic vision systems.
  • Existing robotic systems often lack the energy efficiency and maneuverability of biological systems.

Purpose of the Study:

  • To design and demonstrate a wireless, power-autonomous, mechanically steerable vision system inspired by insect head motion.
  • To create a compact vision system suitable for mounting on small robots or live insects.
  • To evaluate the energy efficiency and operational capabilities of the developed system.

Main Methods:

  • Developed a 248-milligram wireless vision system with a mechanically steerable camera (60° range).
  • Integrated a 160x120 monochrome camera streaming video at 1-5 fps via Bluetooth up to 120 meters.
  • Mounted the system on live beetles and a small terrestrial robot, using an onboard accelerometer for image capture triggering.

Main Results:

  • The system achieved operational times of up to 6 hours on a 10 mAh battery when triggered by an accelerometer.
  • The small terrestrial robot (1.6cm x 2cm) operated for 63 to 260 minutes.
  • Steerable vision enabled object tracking and wide-angle views with 26 to 84 times lower energy consumption than moving the entire robot.

Conclusions:

  • The developed steerable vision system effectively mimics insect head motion for energy-efficient robotic applications.
  • This technology offers a viable solution for enhancing the capabilities of insect-scale robots and bio-inspired platforms.
  • The system demonstrates significant energy savings, paving the way for longer-duration autonomous robotic missions.