Research

Publications, grouped by research area.

  1. Hierarchical Offline Planning for Autonomous Enceladus Orbital Operations

    G. R. Kim, E. Astle, Z. Booth, D. Eddy, A. F. Davila, K. H. Wray, E. Balaban, M. J. Kochenderfer

    In review, American Control Conference (ACC) 2027

    Spacecraft autonomyDeep space missionsPOMDPs

  2. Scalable LEO Conjunction Screening using Adaptive Synthetic-Covariance Thresholds

    V. Srinivas, G. R. Kim, D. Eddy, M. J. Kochenderfer

    In review, IEEE Aerospace Conference 2027

    Spacecraft collision avoidance

  3. FLyCubes: Federated Learning on Cube Satellites

    L. Powell, G. Kim, F. Svoboda, N. Lane

    In review, IEEE Aerospace Conference 2027

    Federated learning in space

  4. Autonomous Federated Learning in LEO Satellite Constellations

    G. Kim, L. Powell, F. Svoboda, N. Lane

    In review, IEEE Aerospace Conference 2027

    Federated learning in space

  5. Governing Orbits: Collision Prevention and Liability in the Age of Autonomous Space Operations

    C. Wang Chenxi, S. Eigbe, K. Hoshino-Macdonald, G. R. Kim, L. Kim, et al.

    Stanford Law School, Law & Policy Lab report, 2026

    Space policy

  6. GPU-Accelerated Astrodynamics World Models for Spacecraft Rendezvous and Proximity Operations

    D. Eddy, I. R. Ward, G. R. Kim, M. J. Kochenderfer

    Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), 2026

    Spacecraft autonomy

  7. Semi-Decentralized Multi-Spacecraft Collision Avoidance under Communication Constraints

    G. R. Kim, M. Al-Husseini, D. Eddy, M. J. Kochenderfer

    AAS/AIAA Astrodynamics Specialist Conference (ASC), 2026

    POMDPsSpacecraft autonomySpacecraft collision avoidance

  8. Chance-Constrained Belief-Space Maneuver Planning for Autonomous Collision Avoidance Under Uncertainty

    G. R. Kim, D. Eddy, M. J. Kochenderfer

    Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), 2026

    POMDPsSpacecraft autonomySpacecraft collision avoidance

  9. Free-Placement Optimization of Ground Station Locations for Low-Earth Orbit Satellites

    G. R. Kim, D. Eddy, V. Srinivas, M. J. Kochenderfer

    Journal of Aerospace Information Systems (JAIS), 2026

    Ground station networks

  10. Bringing Federated Learning to Space

    G. R. Kim, F. Svoboda, N. D. Lane

    IEEE Aerospace Conference, 2026

    Federated learning in space

  11. Scalable Ground Station Selection for Large LEO Constellations

    G. R. Kim, D. Eddy, V. Srinivas, M. J. Kochenderfer

    IEEE Aerospace Conference, 2026

    Ground station networks

  12. The Doctor Will (Still) See You Now: On the Structural Limits of Agentic AI in Healthcare

    G. A. Dias, K. Jafari, A. Griffith, C. A. Dias, G. R. Kim, L. Saadeddin, et al.

    ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2026

    AI evaluation & policy

  13. Adaptive Science Operations in Deep Space Missions Using Offline Belief State Planning

    G. R. Kim, H. Warner, D. Eddy, E. Astle, Z. Booth, E. Balaban, M. J. Kochenderfer

    International Conference on Space Robotics (iSpaRo), pp. 307–313, 2025

    POMDPsSpacecraft autonomyDeep space missions

  14. Who Takes Out the Trash in Space?

    G. R. Kim, L. Kim

    Stanford Space Law Society, SLS Blogs, 2025

    Space policy

  15. Communication-Efficient Learning for Satellite Constellations

    R. S. Tudose, M. H. W. Grüss, G. R. Kim, K. H. Johansson, N. Bastianello

    IFAC World Congress, 2025

    Federated learning in space

  16. The measurement imbalance in agentic AI evaluation undermines industry productivity claims

    K. J. Meimandi, G. Aránguiz-Dias, G. R. Kim, L. Saadeddin, A. Griffith, et al.

    arXiv preprint, 2025

    AI evaluation & policy

  17. Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations

    G. Kim, L. Powell, F. Svoboda, N. Lane

    arXiv preprint, 2024

    Federated learning in space

  18. Controlling palm-object interactions via friction for enhanced in-hand manipulation

    C. B. Teeple, B. Aktaš, M. C. Yuen, G. R. Kim, R. D. Howe, R. J. Wood

    IEEE Robotics and Automation Letters (RA-L), 7(2), 2258–2265, 2022

    Robotics

  19. SoMo: Fast and accurate simulations of continuum robots in complex environments

    M. A. Graule, C. B. Teeple, T. P. McCarthy, G. R. Kim, R. C. St. Louis, R. J. Wood

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021

    Robotics

  20. An active palm enhances dexterity of soft robotic in-hand manipulation

    C. B. Teeple, G. R. Kim, M. A. Graule, R. J. Wood

    IEEE International Conference on Robotics and Automation (ICRA), 2021

    Robotics

Full list on Google Scholar.