Robotics
Governing physical action by autonomous machines.
Robots turn computation into physical movement. They may navigate spaces, lift objects, operate tools, assist people, move goods, or interact with infrastructure, which means an AI output can quickly become bodily or environmental consequence.
The central question is not whether a robot can calculate a route. It is whether the proposed movement is authorized, safe, and responsible before the machine moves.
Example Scenario
A warehouse robot receives a route plan that would save time by moving near human workers, heavy equipment, restricted areas, or hazardous materials. The route may be efficient, but its consequences depend on the environment.
Without LERA
Without LERA, path optimization may be treated as motion permission. The robot moves because the route is efficient, not because the action has passed through judgment about safety, authority, and responsibility.
In physical environments, that difference matters. A small movement can create injury risk, equipment damage, or operational disruption.
With LERA
With LERA, a movement plan is treated as a proposed action before execution. Routine motion inside controlled zones can continue through lighter governed paths, while movement near people, hazardous materials, or restricted areas requires stronger governance.
This allows robotics systems to remain useful without allowing every optimized movement to become automatic permission to act.
How LERA Applies
- Judgment: determine what the proposed action means, what consequences may follow, and whether uncertainty is acceptable.
- Authority: identify who has legitimate authority to allow the action to continue.
- Responsibility: anchor responsibility before execution, not only after an incident.
- Reliability Rules: apply the relevant WRS-C and domain-specific WRS-D conditions for the context.
- RCC: govern who may change execution-related rules and how those changes are authorized and recorded.
- ECS: keep the action controllable immediately before the Execution Boundary.
- Outcome: route the action to Allow, Block, or Escalate before real-world execution.
What LERA Changes
LERA makes robotic motion accountable at the execution boundary. It separates route calculation from permission to move.