Development of Minimal Biorobotic Stealth Distance and Its Application in the Design of Direct-Drive Dragonfly-Inspired Aircraft
Zhang Minghao, Song Bifeng, Yang Xiaojun, Wang Liang, Lang Xinyua

TL;DR
This paper introduces the MBSD metric to evaluate bionic resemblance in dragonfly-inspired aircraft, aiding design optimization and demonstrating its effectiveness through modeling and analysis.
Contribution
The paper develops the MBSD as a new quantitative metric for biorobotic aircraft design and integrates it into the design process of dragonfly-inspired aircraft.
Findings
MBSD effectively evaluates bionic resemblance in aircraft design.
The full-system model accurately predicts aircraft performance.
MBSD correlates with key performance metrics like hover duration.
Abstract
This paper introduces the Minimal Biorobotic Stealth Distance (MBSD), a novel quantitative metric to evaluate the bionic resemblance of biorobotic aircraft. Current technological limitations prevent dragonfly-inspired aircrafts from achieving optimal performance at biological scales. To address these challenges, we use the DDD-1 dragonfly-inspired aircraft, a hover-capable direct-drive aircraft, to explore the impact of the MBSD on aircraft design. Key contributions of this research include: (1) the establishment of the MBSD as a quantifiable and operable evaluation metric that influences aircraft design, integrating seamlessly with the overall design process and providing a new dimension for optimizing bionic aircraft, balancing mechanical attributes and bionic characteristics; (2) the creation and analysis of a typical aircraft in four directions: essential characteristics of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBiomimetic flight and propulsion mechanisms · Spaceflight effects on biology
