The evidence
- The exact motion, payload, and work zone
- Fresh source state with timestamps
- Receiver identity and recovery conditions
AIgenTXS / Robotics + Physical Ops
AIgenTXS is designed to connect a motion proposal with the permitted action envelope, fresh environmental evidence, and exact-operation authority. When the scene changes, yesterday’s permission is not enough.
Why this workflow needs a record
A payload, work zone, or nearby person can change between planning and actuation. A governed-action design checks what the planner intends, how recent the supporting state is, and whether the receiver has authority for that exact operation. It complements the machine’s independent safety systems.
Inside the workflow
Choose a scenario to inspect the proposed action, governing rule, evidence, and person responsible.
The proposed action
Illustrative workflow. No live action.
An interactive policy example
Adjust one sample input, declare the evidence, and record a simulated approval. A boundary failure remains a failure even when approval is checked.
Illustrative freshness window10 sec
The safety-state evidence is stale under the sample rule.
Illustrative inputs and one simplified policy rule. Calculated in this browser; no upload, stored decision record, provider call, or external action. This is not a deployed industry workflow.
What stays attached
A planner’s proposed move does not itself authorize actuation. Machine safety interlocks remain independent of this governance architecture.
A future implementation would compare sensor-observed effects with the bounded operation and preserve mismatches for review.
Start with one workflow
Tell us what your team needs to govern, which evidence matters, and who owns the decision.
AIgenTXS’s mandate-to-effect architecture is implemented and tested in-repository with synthetic fixtures. Product runtime deployment, customer use, and independent attestation are separate milestones.