🤖 AI Summary
This work addresses a critical gap in existing general-purpose robot safety frameworks: the lack of consideration for “initiation authorization”—whether a robot should perform potentially irreversible initial social actions, such as unsolicited greetings, unpermitted grasping, or intrusions into personal space. The paper establishes initiation authorization as a distinct safety dimension separate from motion and dialogue safety and introduces a Probe-Authorize-Act (PAS) mechanism that integrates a vision-language-action model, a behavior detection module, and a user authorization interface to enable context-aware initiation decisions. Real-world evaluation on a hallway-deployed humanoid robot demonstrates that PAS significantly outperforms direct initiation strategies, and preliminary user studies confirm that it better aligns with human expectations regarding social boundaries and consent.
📝 Abstract
Safety for generalist robots is usually discussed in terms of motion or dialogue. We argue a third question is missing: should the robot take its first hard-to-undo social action at all, such as a greeting, an uninvited grasp, or stepping into someone's space? We call this initiation authorization. Current frameworks rarely treat it as a separate safety layer. Today's stacks often skip this step: a high engagement score or a confident VLA rollout is treated as permission to act. But seeing a person is not the same as having their consent to be addressed. We frame initiation authorization within generalist-robot safety and contrast it with post-plan VLA guardrails, implementing PAS (probe-authorize-speak) on a doorway humanoid, comparing it with direct-init on logged traces, and proposing a three-condition user study, with open questions on metrics, governance, and where initiation ends and foundation-model generation begins.