Flapping flight for biomimetic robotic insects: part I-system modeling
By Xinyan Deng, Luca Schenato, W. Wu, S. Sastry. IEEE Transactions on robotics, 2006
368 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Condensed Matter Physics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/e47453c12ba50510c494105aadbc19047054a5d1
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In Aerospace Engineering
In Condensed Matter Physics
In Nature and Landscape Conservation
Citations in the corpus
- Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances (2019, positive): “INTRODUCTION INSPIRED by birds, bats [1], [2] and insects [3], robotic aircrafts attract considerable interest especially in reconnaissance and surveillance.”
- Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer (2017, methodology): “The aerodynamic forces are calculated on the basis of three aerodynamic mechanisms in [8].”
- Control Design for Nonlinear Flexible Wings of a Robotic Aircraft (2017, background): “Different from the rigid ones [4], [5], the wings with flexibility are believed to offer major advantages such as cost-effective, fight agility, lower price, and high performance.”
- Dynamical Modeling and Boundary Vibration Control of a Rigid-Flexible Wing System (2020, background): “A number of researchers have developed UAVs with single-link wings such as Phoenix of th Massachusetts Institute of Technology [4] and H2bird of the University of California, Berkeley [5].”
- Integrative Model of Drosophila Flight (2008, neutral): “Similar work has recently emerged to model artificial mechanical flappers [6,7], small, fixed wing aircraft [8], and hovercraft [9].”
- Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, background): “2004] and flapping robots [Deng et al. 2006] are gaining increasing attention in the research community, but more efforts are needed in order to get feasible solutions which can be effectively applied to WSNs.”