Skip to content

AIgenTXS / Robotics + Physical Ops

The next move needs current permission.

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.

Robotics + Physical OpsArchitecture study
Motion inside an action envelopePayload / zone / current safety state
Actuation envelopes, safety state, and zone authority.Illustrative industry design / AIgenTXS architecture

Why this workflow needs a record

Physical context does not stand still.

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

Different decisions.
The same discipline.

Choose a scenario to inspect the proposed action, governing rule, evidence, and person responsible.

The proposed action

Propose a mast lift with a 240 kg payload.

Illustrative workflow. No live action.

Policy
Check the sample payload and lift envelope before requesting an operation grant.
Evidence
Payload estimate, robot state, lift limits, and action parameters.
Reviewer
Designated cell authority.
Effect record
Compare observed position and load with the permitted envelope.

An interactive policy example

Change the context.
See what must change next.

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

AIgenTXS / policy exampleLocal only
Boundary exceeded

Outside the sample boundary.

The safety-state evidence is stale under the sample rule.

Named reviewerCell supervisor
Execution grantNone
External effectNo action taken

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

Evidence. Authority.
An inspectable outcome.

The evidence

  • The exact motion, payload, and work zone
  • Fresh source state with timestamps
  • Receiver identity and recovery conditions

The authority

A planner’s proposed move does not itself authorize actuation. Machine safety interlocks remain independent of this governance architecture.

The effect

A future implementation would compare sensor-observed effects with the bounded operation and preserve mismatches for review.

Start with one workflow

Bring the action.
Map the boundary.

Tell us what your team needs to govern, which evidence matters, and who owns the decision.

Current scopeIllustrative industry design, not a safety certification or robot controller. No actuation, equipment connection, or physical action occurs.

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.

Read the architecture and evidence status

Explore another industryCapital