Publications

Please also refer to my Google Scholar and ResearchGate.

Journal Articles

  1. Takubo, Y., Landau, D., and Brian, A. “Automated Tour Design in the Saturnian System,” Celestial Mechanics and Dynamical Astronomy, Vol. 136, article 8, 2024.

  2. Takubo, Y., and Kanazaki, M., “Robust Constrained Multi-objective Optimal Guidance of Supersonic Transport Landing based on Evolutionary Algorithm and Polynomial Chaos,” MDPI Aerospace, 10(11), pp.929, 2023.

  3. Woodall, B., Borowitz, M., Watkins, K., Costa, M., Howard, A., Kemerait, P., Lee, M., Rolls, G., Takubo, Y., Titshaw, R. and Winstead, M., “The megaregion–forms, functions, and potential? A literature review and proposal for advancing research,” International Journal of Urban Sciences, 2023.

  4. Isaji, M., Takubo, Y., and Ho, K., “Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design,” Journal of Spacecraft and Rockets, 59(5), pp. 1660-1670, 2022.

  5. Takubo, Y., Chen, H., and Ho, K., “Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design,” Journal of Spacecraft and Rockets, 59(2), pp.421‑433, 2022.

Conference Papers

  1. Takubo, Y., Shimane, Y., and Ho, K., ``Optimization of Earth-Moon Low-Thrust-Enhanced Low-Energy Transfer,’’ 2023 AAS/AIAA Aerodynamics Specialist Conference, Big Sky, MT, Aug. 2023. (PDF)

  2. Takubo, Y., Landau, D., and Brian, A. “Automated Tour Design in the Saturnian System,” 33rd AAS/AIAA Space Flight Mechanics Meeting, Austin, TX, 2023 (Breakwell Student Paper Award, available on arXiv).

  3. Takubo, Y., and Kanazaki, M., “Robust Constrained Multi‑objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization,” IEEE Congress on Evolutionary Computation, IEEE WCCI 2022, Padua, Italy, Jul. 2022

  4. Takubo, Y., and Kanazaki, M., “Robust Multi‑objective Optimization of the Control Input of Trajectory Planning,” The 20th Symposium of the Japanese Society for Evolutionary Computation, Online, Sep. 2021. (Japanese: “経路設計のための制御入力の多目的ロバスト最適化,” 第20回日本進化計算学会研究会) 2022 Best Paper Award.

  5. Isaji, M., Takubo, Y., and Ho, K., “Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design,” AIAA ASCEND, Las Vegas, NV, Oct. 2021.

  6. Takubo, Y., Chen, H., and Ho, K., “Performance Analysis of Hierarchical Reinforcement Learning Framework for Stochastic Space Logistics,” AIAA ASCEND, Online, Oct. 2020.