AI cannot pick up your child from kindergarten

Many white-collar families deal with kindergarten pickup every day. The task may look like moving a child from point A to point B, but the real workflow involves identity verification, teacher handoff, emotional care, road-safety judgment, exception handling, responsibility, and trust between the family and the school.

Have AI or an AI-controlled robot, without an adult present, complete school-approved pickup, identity handoff, trip supervision, exception handling, and safe delivery of the child back home.

The core difficulty is not route planning; it is responsibility. Kindergartens usually hand children to parents or authorized adults. A robot cannot yet carry guardian responsibility, communicate situational judgment, handle crying, injury, getting lost, stranger approach, or traffic risk, and earn shared trust from both school and family.

Current AI lacks an offline guardian identity that society and schools accept. Even if a robot can navigate, recognize a child, and avoid obstacles, it still cannot fully carry child-safety responsibility, legal accountability, ethical judgment, and complex human communication. As long as the handoff requires an identifiable, accountable adult who can make immediate judgments, AI cannot independently complete this task.

A successful case must be a firsthand real pickup experiment, not a concept video or media report. It must provide kindergarten/parent authorization boundaries, robot or AI system information, the full pickup workflow, at least 5 independent pickup records, on-site screenshots or video, exception-handling logs, and evidence that the school recognizes the handoff method. Child-safety requirements must not be reduced at any point.