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University of Texas at Austin

Type: Academia | Location: Austin, TX | SST projects: 1 (Active)

SST Portfolio

Project Title Period TRL Status Outcome
106826 Surface Feature-Based Navigation & Timing 2020-07 β†’ 2027-08 3β†’7 Active unknown (demo pending)

What Was Developed

Crater-based Navigation and Timing (CNT): ML-based PNT system that identifies lunar craters via optical cameras to estimate spacecraft position and time bias β€” independent of the Deep Space Network. Targets 100 m per-axis position and 100 ms timing accuracy for spacecraft in 100–1,000 km lunar orbits. Uses visible + infrared cameras (CubeSat-compatible sensor suite).

All CNT software components integrated and tested using simulated detections and Lunar Reconnaissance Orbiter (LRO) images. Performance metrics met in simulation.

Key People

Brandon M Jones β€” PI. Director of CAELUS Laboratory and Texas Spacecraft Laboratory at UT Austin. Research: space situational awareness, satellite navigation across near-Earth, cislunar, and beyond.

  • TechPort footprint: 2 projects across 2 programs:
  • 91512 β€” Automated Robust Maneuver Design (STRG, CU Boulder, 2015–2019, TRL 2β†’3)
  • 106826 β€” Surface Feature Nav (SST, UT Austin, 2020–2027)
  • Career: CU Boulder β†’ UT Austin. STRGβ†’SST pipeline confirmed.

Renato Zanetti β€” Co-I. Navigation expert at UT Austin. Single TechPort project (this one).

Upstream Lineage

Source Program Connection Confidence
91512 Automated Maneuver Design STRG Same PI (Jones), CU Boulder β†’ UT Austin. Autonomous maneuver planning β†’ autonomous nav confirmed

Downstream Impact

SCOPE-1 Mission (In Development)

SpaceCraft for Optical-based Position Estimation-1 (SCOPE-1): LEO CubeSat demonstration that will validate the CNT algorithms using coastal features (instead of lunar craters) as a proof-of-concept for the lunar application.

  • NASA agreement for launch secured
  • NASA cooperative agreement for build + software + testing
  • Target launch: end of 2026
  • Built by Texas Spacecraft Laboratory (student-led)
  • If successful, validates the core algorithm for operational lunar missions

Mission Context

The technology addresses a documented gap: cost-effective PNT for cislunar spacecraft independent of DSN (an over-subscribed asset). Relevant to Gateway, Artemis surface missions, and any CubeSat/SmallSat operating near the Moon.

Relationship to other SST navigation work: - John Christian (GA Tech) 155359: autonomous optical nav using planet observations (different approach β€” horizon-based, not crater-based) - UCLA/Matsko 106828: LunaNet PNT via photonic clocks (complementary β€” timing layer vs. positioning layer) - Caltech/Vahala 155361: microphotonic clock for cislunar (timing source that CNT could consume)

Publications

No NTRS citations found for this project. Academic publications likely in AIAA/AAS venues (Jones has extensive Google Scholar profile in navigation).

Assessment

Outcome category: unknown (demo pending) β€” SCOPE-1 launch ~end 2026 will be the decisive test.

Pattern: "STRG→SST Pipeline" — Jones built autonomous navigation foundations at CU Boulder under STRG, then moved to UT Austin and applied them to lunar surface-feature nav under SST. The career move IS the technology transfer.

Distinctive: Only Active SST project with a university PI (most Active projects are industry/center-led). The LEO-first-then-lunar demonstration strategy is smart β€” it de-risks the core algorithm before committing to a lunar mission.


Last updated: 2026-04-14 (session 20)