Robot Commons
Keep the whole city moving.
You do not decide one robot at a time. Build the service policy for an entire city, allocate scarce diagnostics and repair capacity, then run the system and inspect what your rules actually did.
Decision skills taught through play
- Govern
See how a sound model and one common policy can still produce uneven service burden, delay and failure consequences.
- Govern
Learn how the policy itself changes which outcomes become observable and why random audits matter.
- Understand
Diagnose whether uncertainty comes from noisy measurements, weak support or irreducible outcome variation.
- Decide
Allocate scarce diagnostics where information can actually change a consequential service decision.
- Decide
Design the whole decision system — model, thresholds, queues, capacity and evidence — rather than deciding robots one by one.
Policy, not cases
Design ordered rules and let them act across a whole population.
Evidence is selected
Service, failures and audits determine what ground truth becomes observable.
No fairness score
Compare delay, burden, failures and access directly by family and zone.