The robot OS,
built model-first.
Titan Core OS is the device OS on every Titan machine — wheeled, aerial, legged — and the VLA model is a first-class entity in it, not a bolted-on inference call. Run one VLA, or compose vision with a fast-evolving LLM that sees, plans ahead, and knows the world. Shift compute between seeing and thinking as the mission demands — and when the network allows, hand the hard calls to a datacenter-scale model. When it doesn't, the full stack runs on-device.
Open SDK.
Closed safety kernel.
Six layers on the machine, one above it — each doing exactly one job. Integrators extend the capability layer through SDK surfaces; the kernel, command link, and safety floor stay Titan-owned. The line is deliberate: extend behavior without weakening deterministic control.
Titan Command Center
off-machineRuns the fleet: missions, dashboards, OTA, human authority. Off the machine.
Core Command Link
Carries intent and operator overrides down, telemetry and buffered replay up. Overrides refused when the link is too slow to be safe.
Mission Kernel
Decides the machine's mode — connected, disconnected, degraded, fault — and runs the loop: sense → localize → plan → decide → act, on a hard reflex-rate budget.
Skill Registry
Loads the machine's skills — signed, swappable software capabilities. Hardware modules stay dumb; the intelligence loads here.
Form-Factor Adaptation Layer
Translates one motion interface into wheels, rotors, or legs — the same mission logic drives every body.
Hardware Abstraction Layer
Drives real sensors and actuators — or Titan Matrix simulation — behind the same interface. Same runtime, metal or sim.
Hardware Modules
Dumb attachments the HAL drives: signal out, commands in, zero onboard intelligence. Cheap, swappable, and fused into one picture by the brain.
Safety Executor
An independent watchdog beneath everything: heartbeats stop, motors stop. It shares nothing with the layers above — the smart stack can fail without taking the safety floor with it.
Connectivity is a luxury.
Autonomy is the baseline.
Most "autonomous" machines stop being autonomous the moment the network drops. Titan Core OS is built for the opposite assumption — full autonomy is the default, and connectivity is what gets layered on top.
Command directs. Core executes.
Titan Core OS streams telemetry to Titan Command Center, accepts mission updates, and yields to remote operators when needed. Core still owns the real-time loop — perception, control, and safety run on-device. Command sets intent; Core handles the millisecond decisions.
Comms denied. Mission continues.
Jammed, out of range, underground, or under canopy — Titan Core OS doesn't notice. The autonomy stack runs end-to-end on-device. The machine keeps perceiving, planning, and acting against its last known mission. When the link returns, it resyncs telemetry and accepts new orders.
Graceful degradation, not graceful failure.
Cloud-tethered systems treat network loss as an exception. Titan Core OS treats it as an operating mode. There is no degraded experience when comms drop — the machine is doing the same job, on the same hardware, with the same models. The only thing that changes is whether telemetry is reaching the operator in real time. When the link returns, Core replays the buffered state to Titan Command Center and resumes connected operation.
Every capability is a skill.
Swap it without forking it.
Zoom into the skill layer of the stack. Each skill sits behind a stable interface, loaded through the signed registry and metered against the runtime's latency budget. Replacing an implementation is one registration — nothing above the seam moves. Capabilities a machine doesn't carry are simply never loaded.
Mapping
Onboard occupancy mapping keeps a live model of the world around the machine — built on-device, carried through link loss, replayed on resync.
Localization
Confidence-aware self-localization fuses odometry with anchor corrections. When confidence decays, the runtime knows — and degrades deliberately instead of guessing.
Path Planning
Onboard planning routes toward mission goals and replans the moment the map changes — a blocked corridor is a detour, not a stop.
Model-First Decisions
The decision layer is a model slot, not a hardcoded brain: one VLA, or vision composed with a fast-evolving LLM. Priority shifts with the mission — more compute for seeing or for thinking — and when the link allows, a datacenter-scale model takes the hard calls. Low-confidence decisions escalate to a named operator.
Manipulation
The hand is a hardware module with near-zero intelligence of its own. Mount it and the brain loads the grasp skill — force limits, sequencing, audited actuation. Remove it and nothing else changes.
Mission Profiles
Patrol & Security, Delivery & Logistics, Agriculture & Field Work, Search & Rescue — each vertical is a mission profile the planner consumes. A new vertical is a new skill, not a new runtime.
When one of anything isn't enough.
Any capability slot can hold more than one provider — a primary localizer with a hot standby, a primary planner with a conservative fallback. An arbiter watches health, confidence, and deadline behavior, and fails over the moment the active provider degrades — then hands back when it recovers.
ROS 2 substrate.
Titan-owned runtime.
Titan Core OS uses ROS 2 Jazzy as the driver and message substrate, with rmw_zenoh as the default RMW and Cyclone DDS available for legacy compatibility. Peripheral MCUs connect through micro-ROS over XRCE-DDS or Zenoh-pico.
The substrate stays open enough for OEM integrators and defense programs. The runtime contracts stay strict enough to bound mode transitions, actuator authority, plugin behavior, and OTA rollback.
HAL drivers swap real sensors and actuators for sim drivers inside Titan Matrix, so the same runtime can run on hardware and in CI without recompiling the autonomy stack.
One runtime. Three specializations.
The shared layers — perception, planning, autonomy fallback, security — are identical across builds. Only the motion layer of the stack changes.
Titan 0000
Greenfield rate-loop and steering controller with Nav2 + MPPI planning for off-road, yard, closed-site, and defense mobility.
Titan 88
Titan attitude and position controller with PX4 low-level flight firmware over uXRCE-DDS and wind-aware FFAL models.
Titan 1111
OCS2-based convex MPC and whole-body-control fork with Titan terrain perception and gait selection above the controller.
Latency kills.
Literally.
At 60 km/h, a 100ms cloud round-trip means 1.7 meters of blind driving. At 120 km/h, it's 3.3 meters. In defense scenarios with adversarial jamming, the cloud doesn't exist at all.
Titan Core OS's on-device inference is a structural advantage in both reliability and security. It isn't a technical preference — it's an architectural requirement for any system where latency variance can cause harm.
Core guarantees bounded, deterministic latency under all conditions — full connectivity, degraded connectivity, or zero connectivity. The same deterministic on-device.
Defense-grade is
the default build.
The v1 runtime assumes regulated fleets, contested networks, and named human authority over every actuator command. Security and audit are not add-ons; they are part of boot, update, and control.
TPM-backed identity
Device certificates live behind TPM 2.0, are managed by Titan Command Center PKI, and support Titan-issued or customer-owned roots.
Signed plugin boundary
Production loads only Titan-signed or customer-signed plugins. Unsigned modules run only in dev mode with sandbox warnings.
Native evidence trail
MCAP recordings, crash dumps, OpenTelemetry traces, and actuator attribution ship to Command when the link returns.
When the link returns,
Core catches Command up.
Titan Core OS buffers telemetry, decisions, sensor highlights, and mission state during disconnected operation. The moment a link is re-established with Titan Command Center, Core replays the buffer at high-priority — operators see the gap close, edge cases get flagged for review, and any new orders take effect immediately.
Every disconnected mission is also a training-data event. Buffered edge cases feed the data flywheel — the fleet learns from the moments when the network wasn't watching.
Tested in worlds
that don't exist.
Titan Core OS runs continuously inside procedurally generated worlds — physics-accurate scenes from game engines, and unrealistic environments from video generation models. We deliberately corrupt sensors, fail actuators, and break physics. The OS endures, or we fix it. Then we do it again.
Physics-accurate. Fully controllable.
Procedurally generated terrain, weather, traffic, lighting, and sensor noise. Every variable is dialable — the right tool for systematic stress tests and exhaustive edge-case enumeration.
Surreal. Novel. Unhinted-at by training.
Generative video models produce scenes our engineers wouldn't think to script — broken physics, unfamiliar objects, impossible lighting. Core has to make sense of worlds it has never seen and would never see in reality.
Generate
Game engines and video models continuously spawn new worlds — physics-accurate or deliberately surreal.
Run
Titan Core OS boots inside the world and runs the full autonomy stack — perceive, plan, act, recover.
Observe
Decisions, latencies, recoveries, and crashes are logged. Did the OS endure, fail safe, or fail loud?
Harden
Failures feed model training and runtime fixes. Validated changes ship via OTA. Loop repeats.
Failure modes we deliberately inject
The runtime should survive reality. Reality doesn't ask permission, so neither do we.
The pact: when Core can't endure, it must fail safe — degrade gracefully, hand back control, return home, or shut down without harm. Crashing isn't a failure mode we accept. Every crash in simulation is a runtime fix we ship before any robot encounters it in the field.