Computational multicopter design
Name
Matusik_Computational multicopter.pdf
Size
31.5 MB
Format
Adobe PDF
Checksum (MD5)
2739e180b399bca608cf7f4e547669d0
Author(s)
Du, Tao
Schulz, Adriana
Zhu, Bo
Bickel, Bernd
Matusik, Wojciech
Date Issued
November 2016
Journal
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
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2980179.2982427
