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Autonomy & the AI Layer

Light time · fleets · the garage · flown autonomy

Light time decides who is in control: a person on Earth can drive a machine on the Moon but not on Mars. A robot fleet earns its place by moving work inside the pressure boundary, not by replacing the crew.

Moon, one way
1.3 s
Mars, one way
3-22 min
Fleet hours per crew-hour
500-1,000
Servicing break-even
About 30 min/mo
Ingenuity flights
72
Confidence
Modeled

Light time

Light Time Decides Who Is in Control

One-way signal time sets how much a machine has to decide for itself.

Control mode by light time
DestinationLight time, one wayControl modeFlown byRated
Earth orbitUnder 0.15 sDirect teleoperationCanadarm2; Tiangong's armObserved
Moon1.3 sTeleoperation with lagYutu-2 driven from BeijingObserved
Mars3-22 minDaily plans; the rover drives itself between themPerseverance AutoNav; ZhurongObserved
Ceres15-31 minPlans per day or weekDawnObserved
Callisto33-53 minRules and approvals onlyGalileo, JUICEObserved
Pluto4-7 hFull autonomyNew Horizons flyby sequenceObserved

At the Moon, 1.3 seconds allows a person on Earth to drive a machine, at about a quarter of on-site speed. At Mars, 3-22 minutes does not; every Mars landing has been fully autonomous. Past Mars, machines carry out goals and ask only for approvals. Round-trip figures are on The Substrate Tables.

The yardstick

The Comparison Is a Haulage Supervisor, Not a Driver

Rio Tinto has run autonomous haul trucks in the Pilbara since 2008, supervised from Perth about 1,500 km away. That is the yardstick for an off-Earth fleet: one person already supervises many machines.

Fleet numbers for a lunar industrial outpost
MeasureValueBasisRated
Fleet hours per crew-hour500-1,000160 machines working 20 hours a day for six monthsModeled
Against a 2025 haulage supervisor30-120×Rio Tinto's Pilbara operators already supervise many trucksModeled
Unplanned interventionsOne per machine per 170-680 hWhat the fleet has to achieveModeled
Dust-exposed seals, 160 humanoidsAbout 6,40030-50 per humanoidModeled
Servicing break-evenAbout 5.5 h per machine per tour, half an hour a monthAbove it, the fleet costs more crew than it savesModeled
Data off a site3.2 Mb/s against 1.28 Gb/sA 400-fold cut by sending what the machines understood, not raw stereo videoModeled

Perfect autonomy removes less than one crew member; a suitport removes about six. Autonomy buys output, not people. The fleet's value is moving work from outside the pressure boundary, where an hour costs a person 2.5 hours and dose, to inside, where it costs one.

Past the Moon, Earth drops out of the loop, and the people on site become governors of intent: setting goals, keeping systems running, resolving new failures and deciding what the machines try next. Machines working hours of light time from their owners have to recognize when conditions leave their model and stop safely; that capability is labor infrastructure in the same sense as a suitport.

The garage

Machines Need Suits Too

A humanoid working on a dusty surface has the same problem as a person in a suit.

Robots with many joints need covers for hands, feet and joints, and a garage where they are serviced out of the dust. The garage stays unpressurized, so servicing there is outside work for the crew, at the same overhead as any EVA.

Below about half an hour of human hands per machine per month the fleet saves crew; above it, the fleet costs more crew than it replaces. The servicer at the end of that chain does not have to move: an industrial robot in a powered, dust-free garage is the clean stopping point. Garage and boundaries are on Habitats & Life Support.

These are the surface vehicles that never carry a person: excavators, haulers, drones and humanoids, run autonomously or teleoperated from the site. None is human-rated, which is what lets them be swapped and replaced. Vehicles a person rides in are on Crew Transport.

Swap or service, by machine size
MachineClassWhyRated
Small droneConsumableReplace it; repair later or neverModeled
Humanoid, hundreds of kgSwap the unitModules serviced indoorsModeled
Excavator, several tonsServiceToo heavy to duplicate casuallyModeled
Pressurized rover, reactor, process plantMaintain in placeThe budget buys oneModeled
Drive, fly or hop
WorldMobilityWhyRated
TitanFlyDense atmosphere, low gravity; NASA DragonflyBuilding
MarsDrive, and fly with large rotorsThin air needs low disc loading; IngenuityObserved
Moon and airless bodiesDrive or hop on propellantNothing for a rotor to push onObserved

Flown

Autonomy Already Lands, Drives, Flies and Docks

Every landing and most driving beyond the Moon are already autonomous.

Autonomy in flight
SystemData pointRated
Chang'e-3 to Chang'e-6 · CNSALanders hover, map hazards and pick a landing spot on their ownObserved
Perseverance AutoNav · NASADrives itself over most of its route, planning as it goesObserved
Ingenuity · NASA72 flights on Mars, each flown without real-time controlObserved
Tianzhou · CMSACargo craft docks with Tiangong autonomously in about two hoursObserved
Crew Dragon · SpaceXDocks with ISS autonomouslyObserved
Three-Body Computing Constellation · ADA Space and Zhejiang Lab12 satellites with onboard AI, flown 2025Observed
Optimus · TeslaHumanoid robot; no space qualificationBuilding

Onboard and orbital AI compute are on Orbital Compute.

China

China Flies Autonomy at Every Scale

Landers, rendezvous, rovers and an AI constellation.

Chinese autonomy programs
ProgramData pointRated
Chang'e landers · CNSAHazard-avoidance hover and autonomous landing, four times since 2013Observed
Zhurong · CNSAMars rover with autonomous hazard detection, 2021-2022Observed
Tianzhou · CMSAAutonomous fast rendezvous and docking with TiangongObserved
Three-Body Computing Constellation · ADA Space and Zhejiang Lab12 satellites, up to 744 TOPS each, May 2025Observed

Contested

Deliberately Not Claimed

The load-bearing uncertainties, tagged with the confidence they actually earn.

Modeled

Goal-level autonomy fails by geography. If it does not arrive, the Moon keeps working through teleoperation at 1.3 seconds and nothing past it does.

Modeled

Servicing rates are guesses. No fleet has worked a dusty surface for months; the half-hour-a-month break-even is the test a garage trial on Earth or the Moon has to pass.

Record

Provenance and Data Sources

Confidence
Observed for flown, fielded or measured - Building for hardware and programs in development - Projected for announced plans - Modeled for original analysis
Status date
Q4 2026
Data
Rio Tinto AutoHaul; NASA Perseverance, Ingenuity and Dragonfly; SpaceX Crew Dragon; Tesla Optimus
China
CNSA Chang'e and Zhurong; CMSA Tianzhou; ADA Space and Zhejiang Lab Three-Body Computing Constellation
Weakest link
Fleet servicing hours on a dusty surface