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Cited by 355

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Flapping flight for biomimetic robotic insects: part I-system modeling

Xinyan Deng, Schenato, L., Wei Chung Wu, Sastry, S.S.·2006·IEEE Transactions on Robotics

Abstract

This paper presents the mathematical modeling of flapping flight inch-size micro aerial vehicles (MAVs), namely micromechanical flying insects (MFIs). The target robotic insects are electromechanical devices propelled by a pair of independent flapping wings to achieve sustained autonomous flight, thereby mimicking real insects. In this paper, we describe the system dynamic models which include several elements that are substantially different from those present in fixed or rotary wing MAVs. These models include the wing-thorax dynamics, the flapping flight aerodynamics at a low Reynolds number regime, the body dynamics, and the biomimetic sensory system consisting of ocelli, halteres, magnetic compass, and optical flow sensors. The mathematical models are developed based on biological principles, analytical models, and experimental data. They are presented in the Virtual Insect Flight Simulator (VIFS) and are integrated together to give a realistic simulation for MFI and insect flight. VIFS is a software tool intended for modeling flapping flight mechanisms and for testing and evaluating the performance of different flight control algorithms.

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Metadata

Authors
Deng, X., Schenato, L., Wu, W. C., & Sastry, S. S.
Venue
IEEE Transactions on Robotics
Published
2006-08
Volume
22
Issue
4
Pages
776-788
ISSN
1552-3098 (ISSN-L)
OpenAlex
W2124012251
Cited by
355
References
41
FWCI
32.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Flapping flight for biomimetic robotic insects: part I-system modeling. https://app.cochat.ai/papers/10.1109/tro.2006.875480
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Deng, X., Schenato, L., Wu, W. C., & Sastry, S. S. (2006). Flapping flight for biomimetic robotic insects: part I-system modeling. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2006.875480

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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