Skip to content

Initiation Safety: A Missing Dimension in Generalist-Robot Safety

Jul 2026 · arXiv.org · Vol abs/2607.07420 · 0 citations · 17 references
Computer Science

TL;DR

This work frames 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.

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.

View source

Similar papers

Preprint Aug 2026

ETA: A New Agentic Paradigm for Embodied Tasks

The Embodied Task Agent is introduced, a new paradigm for extending digital agents into the physical world, and OpenETA is released as its open-source implementation, which provides replaceable Planners, composable Tools and Skills, auditable memory, replayable trajectories, and common interfaces for simulation and real robots.

Yitong Chen, Zezheng Huai, Sixian Li et al. · 1 citation
#small language model Preprint Aug 2026

SafeBranch: Branch-Pair Safety Alignment for Embodied Agents

SafeBranch is proposed, a framework that aligns an embodied actor on safety through branch pairs constructed from the actor's own unsafe rollouts via environment rollback, achieving roughly ten times more safe successes than the untrained baseline on the unseen-object variant.

Hyunse Lee, Jiwoo Jeong, Haneul Lee et al. · 0 citations
Review Aug 2026

Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy

This work proposes a LLM-driven verification layer between planning and execution to evaluate action permissibility, and achieves near 85% precision across accept/escalate/reject categories, with negligible errors between accepting and rejecting tasks, and errors mostly manifesting at the escalate boundary.

Rohan Bhagra, Mahantesh Halapannavar, Uddhav Bhattarai · 0 citations
Preprint Aug 2026

You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy Improvement

AgenticRobotics is a backend-independent control plane in which an LLM controller drives disposable workers through durable train--evaluate--improve transactions: an immutable objective, controller-owned measurement, commit-keyed crash recovery, an evidence-graded skill library, and a tool registry with a standardized, recorded call surface.

Hang Yu · 0 citations

A Goal-Oriented Agentic Framework For Collaborative Branching Human-Robot Interactions

It is suggested that the benefit of the agentic framework lies primarily in interaction quality rather than conversational efficiency, and the agentic architecture displayed robustness by recovering from non-normative inputs while maintaining strict goal alignment.

Morten Roed Frederiksen · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.