# Industry 6.0 & autonomous factories
Source: https://kaustubhkr.github.io/direction.html

Research direction / Second company in stealth

# Make machine work transferable and verifiable.

Industry 6.0 is my long-term ambition. The research problem is concrete: preserve a task’s intended outcome when its machine, fixture or operating conditions change.

Working representation task = outcome + constraints + preconditions + actions + acceptance A command acknowledgement does not establish that the physical outcome occurred. Completion needs observations tied to the task’s acceptance conditions.

01

### Bind intent to a real machine.

Represent target state, units, geometry and tolerances; bind process steps to available resources. Evaluate mapping effort and task completion after a machine or fixture change.

02

### Learn where prediction changes action.

Use learned dynamics for action selection and recovery. Compare against classical control under the same constraints: rollout error, task success, tail latency and failure cases.

03

### Recover with evidence.

Invalidate dependent steps after physical state changes. Test interrupted motion, stale observations and missing evidence; measure detection and recovery, and withhold unsupported verdicts.

These are research questions and evaluation criteria. The engineering case studies ↗ (https://kaustubhkr.github.io/work.html) document work built so far.

Contact

## Kaustubh Krishna

Founder · robotics & industrial autonomy · India

kaustubhkr.work@gmail.com ↗ (mailto:kaustubhkr.work@gmail.com)

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