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December 6, 2025Science AdvancesOpen Access

Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control

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TZTong Zhao

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Overview

Analysis shows improved performance in a flapping-wing robot, indicating advanced maneuverability with model predictive control.

Key Points

  • Robot achieves saccades with lateral speed of 197 centimeters per second and acceleration of 11.7 meters per square second, enhancing agility.
  • Performance metrics showed improvements of 447 and 255% over prior configurations, highlighting advancements in flight capabilities.
  • Through model predictive control, the deep-learned robot successfully tracks aggressive trajectories under wind disturbances.
  • Achieving these capabilities may inspire further explorations into sensory and compute autonomy for aerial robots.

Cite This Study

Tong Zhao (2025) studied this question.

synapsesocial.com/papers/69337d09b3f947a0a125aa82https://doi.org/10.1126/sciadv.aea8716
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