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Current research2015 · Present (2015 – Oct 2026)

Earth & Cosmos / Space & Astronomy

Reusable rockets

Falcon 9 landed its first stage in December 2015 and now flies the same booster dozens of times; Starship aims for full reuse.

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Before 2015 rockets were thrown away after one use. SpaceX landed a Falcon 9 first stage on 21 December 2015, reflew one in March 2017, and flew 165 Falcon 9 missions in 2025, more than all other orbital rockets together. Blue Origin's New Glenn landed its booster in November 2025 and re-flew and landed it on 19 April 2026, although that flight left its satellite in a useless orbit.

As of October 2026

Falcon 9 booster B1067 flew its 37th mission on 25 August 2026, the 100th Falcon 9 launch of the year. Starship Flight 14 on 28 September 2026 reached orbit for the first time and released 26 Starlink V3 satellites; the booster splashed down in the Gulf of Mexico and the ship in the Pacific, and a ship has never been caught. Ship-to-ship propellant transfer, needed for Moon and Mars missions, has not been demonstrated and had no date as of September 2026.

Open steps

  • Learned control for landings Medium AI leverageDevelop RL or neural-network control for booster descent and landing, reducing engineering tuning and enabling rapid iteration.
  • Reusable TPS system design Medium AI leverageUse ML and simulation to optimize thermal protection (tiles, coatings, ablators) for repeated launches.
  • Sub-24-hour turnaround for relaunch Low AI leverageDevelop autonomous inspection and checkout procedures to shorten turnaround from weeks to <1 day.

Where AI could help

Low AI leverage. The next steps, catching ships and refuelling in orbit, are engineering and flight-test problems; AI helps guidance, inspection and simulation at the margins.

  • Learn landing and catch guidance in simulation before real flights
  • Inspect heat-shield tiles and engines automatically between flights to cut turnaround
  • Use surrogate models of re-entry heating and engine combustion to shorten design cycles
  • Predict component wear to set safe reuse limits

Prerequisites

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Sources

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