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The paper presents a novel stability-based strategy for monocular distance estimation using optical flow and efference copies, aimed at improving navigation for small flying robots. It demonstrates that self-induced oscillations can be detected by the robot to estimate distance to surfaces, which is robust against wind and effective during hover maneuvers. The strategy has been tested on a Parrot AR drone and shows promise for enhancing autonomous landing capabilities in micro air vehicles.

Author

yysy09ed

Language

EN