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Phys.org — Technology · September 18, 2026 · On the brief until October 2, 2026

Maple-seed-inspired robot flies more accurately with predictive control

Aerospace EngineeringMechanical EngineeringRobotics
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Researchers at the Singapore University of Technology and Design developed an advanced control framework combining Nonlinear Model Predictive Control (NMPC) and Incremental Nonlinear Dynamic Inversion (INDI) for a single-actuator, maple-seed-inspired monocopter. By coupling a hybrid rotational dynamics model with predictive planning horizons, the system reduced positional tracking error by up to 39.5% across various wing configurations under demanding trajectories and wind disturbances. This advance demonstrates how predictive computation can effectively stabilize and guide severely underactuated aerial vehicles without adding mechanical complexity.

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Students can explore the fundamental trade-off between extreme mechanical simplicity and control authority, analyzing how predictive models and feedback inversion compensate for severe underactuation and physical motor limits.

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