Computational multicopter design
Author(s)
Du, Tao; Schulz, Adriana; Zhu, Bo; Bickel, Bernd; Matusik, Wojciech
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We present an interactive system for computational design, optimization, and fabrication of multicopters. Our computational approach allows non-experts to design, explore, and evaluate a wide range of different multicopters. We provide users with an intuitive interface for assembling a multicopter from a collection of components (e.g., propellers, motors, and carbon fiber rods). Our algorithm interactively optimizes shape and controller parameters of the current design to ensure its proper operation. In addition, we allow incorporating a variety of other metrics (such as payload, battery usage, size, and cost) into the design process and exploring tradeoffs between them. We show the efficacy of our method and system by designing, optimizing, fabricating, and operating multicopters with complex geometries and propeller configurations. We also demonstrate the ability of our optimization algorithm to improve the multicopter performance under different metrics.
Date issued
2016-11Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Du, Tao, et al. “Computational Multicopter Design.” ACM Transactions on Graphics 35, 6 (November 2016): 1–10
Version: Author's final manuscript
ISSN
0730-0301