A08Labs

Research & demonstrations

Repair the model while the machine is still operating.

From a single robot to a coordinated production cell, we study how a model can identify a changed mechanism and support a verified recovery.

Research question

Can a learned model detect a hidden mechanical change, produce a bounded correction and recover the active mission without broad retraining?

The demonstration

One abrupt fault. One continuous recovery.

The command response of the left leg reverses after impact. A08 detects and localizes the change, verifies a local sign correction and reaches the original target during the same episode.

0.22 sdetect
0.03 scompile
4 / 4recovered
0resets
Inspect the result
Bounded engineering demonstration in MuJoCo. Four fresh runs were evaluated. This is not a physical-robot or statistical generalization claim.

Production line · Simulation

One robot slows. The line adapts.

Two arms, one conveyor. When the packing robot loses 30% of its motion response, A08 repairs the line model and adjusts the conveyor and first robot's timing.

Same five boxes. Same slowdown. Original model first, A08 repair second. Independent ManiSkill / SAPIEN simulation using xArm6 Robotiq assets. No physical validation or manufacturer endorsement is implied.
3 / 5Original schedule
5 / 5A08 repair + replan
Explore the use case

The repair loop

One falsifiable sequence.

01

Predict

Forecast body, contact and action response across multiple horizons.

02

Detect

Identify when observed mechanics no longer match the current model.

03

Diagnose

Use a bounded exposure to locate the affected mechanism.

04

Verify

Test the candidate correction on evidence it did not use to fit.

05

Continue

Route the accepted model and resume the same mission.

Unitree G1 evidence

The claim is narrower than the ambition.

The G1 confirmation and command-inversion demonstration use different workloads. The production-line case is a separate deterministic demonstration, not part of these results.

Passed

Infrastructure

Eight isolated qualification runs completed across four NVIDIA L4 GPUs with exact same-stack replay.

Passed

Controller

The frozen public controller completed 99 of 100 sealed reach, disturbance and stable-stop missions.

Passed

Self-model

Three independent 12.39M-parameter members passed every validation and once-only nominal audit gate.

Passed

Change detection

The frozen detector found 64 of 64 changed worlds by observation 100 with zero nominal false positives.

Confirmed

Verified actuator-loss repair

One typed parameter restored 48 of 48 fresh missions from zero, with no repaired violation.

Engineering demo

Inverted-leg recovery

A categorical local correction recovered 4 of 4 fresh runs versus 0 of 4 frozen, with no reset.

Binary outcomes

A partial goal score is never presented as mission success.

Independent verification

The model cannot authorize its own behavioral update.

Simulator evidence

No physical safety, sim-to-real or Unitree endorsement claim is implied.

Physical validation

Help us take the next experiment onto real hardware.

We are looking for a robotics partner with a programmable platform, telemetry access and a repeatable mission.

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