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Planetary Exploration 3.0: A Roadmap for Software-Defined, Radically Adaptive Space Systems

arXiv 2604.20910 ↗First posted 22 Apr 2026astro-ph.IM astro-ph.EP cs.AIcited by 0

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Abstract (arXiv)

The surface and subsurface of worlds beyond Mars remain largely unexplored. Yet these worlds hold keys to fundamental questions in planetary science - from potentially habitable subsurface oceans on icy moons to ancient records preserved in Kuiper Belt objects. NASA's success in Mars exploration was achieved through incrementalism: 22 progressively sophisticated missions over decades. This paradigm, which we call Planetary Exploration 2.0 (PE 2.0), is untenable for the outer Solar System, where cruise times of a decade or more make iterative missions infeasible. We propose Planetary Exploration 3.0 (PE 3.0): a paradigm in which unvisited worlds are explored by a single or a few missions with radically adaptive space systems. A PE 3.0 mission conducts both initial exploratory science and follow-on hypothesis-driven science based on its own in situ data returns, evolving spacecraft capabilities to work resiliently in previously unseen environments. The key enabler of PE 3.0 is software-defined space systems (SDSSs) - systems that can adapt their functions at all levels through software updates. This paper presents findings from a Keck Institute for Space Studies (KISS) workshop on PE 3.0, covering: (1) PE 3.0 systems engineering including science definition, architecture, design methods, and verification & validation; (2) software-defined space system technologies including reconfigurable hardware, multi-functionality, and modularity; (3) onboard intelligence including autonomous science, navigation, controls, and embodied AI; and (4) three PE 3.0 mission concepts: a Neptune/Triton smart flyby, an ocean world explorer, and an Oort cloud reconnaissance mission.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 136 references that are in the map. First posted on arXiv 22 Apr 2026.

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8 of 136 references.

References · 8

  1. 2022Learning robust perceptive locomotion for quadrupedal robots in the wildcited by 382
  2. 2022Neural-Fly Enables Rapid Learning for Agile Flight in Strong Windscited by 85
  3. 2019Adaptive Stress Testing for Autonomous Vehiclescited by 71
  4. 2024Vision-Based Detection of Uncooperative Targets and Components on Small Satellitescited by 3
  5. 2025MoonBot: Modular and On-Demand Reconfigurable Robot Toward Moon Base Constructioncited by 2
  6. 2023Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyorcited by 1
  7. 2024Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimizationcited by 1
  8. 2025Adaptive Science Operations in Deep Space Missions Using Offline Belief State Planningcited by 1

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