LabCompass

Naoya Kumagai

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2018Rising activity
Stability and Control of Uncertain SystemsSpacecraft Dynamics and ControlAdvanced Control Systems OptimizationSpace Satellite Systems and ControlAdvanced Adaptive Filtering Techniques

Publications

11

Citations

21

Est. group size

~1

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Naoya Kumagai's recent work focuses on trajectory optimization and control methods for spacecraft, particularly for missions involving low-thrust propulsion and travel between the Earth and Moon (cislunar space). A recurring theme is 'covariance steering,' a technique for guiding a spacecraft's trajectory while explicitly accounting for uncertainty in its motion, alongside related tools like sequential convex programming and model predictive control for planning safe descents and orbits. This research is primarily methodological, developing mathematical and computational approaches that could be applied to real spacecraft guidance and navigation problems.

Spacecraft trajectory optimizationCovariance steering and control under uncertaintyLow-thrust propulsion guidanceCislunar (Earth-Moon) mission designConvex optimization and model predictive control

After several years with no recorded output, publication activity increased sharply starting in 2024-2025, suggesting a recent and growing focus on this research area.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
172018: 1 publication1819202122232024: 1 publication242025: 5 publications5252026: 4 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • Journal of Guidance Control and Dynamics×2
  • Open MIND×2
  • BDJ×1
  • Zenodo (CERN European Organization for Nuclear Research)×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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