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Author

Zoe Li

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Preprint Oct 2026

PIER: An Evidence-Gated Execution Interface for Robotic Manipulation

Generating a plausible robot action does not establish that current observations justify its execution. Motivated by exploratory observations of high-confidence visual outputs under severe occlusion, we present PIER, an execution-authorization interface that separates evidence checks, decision provenance, and stage-sco...

Zoe Li, A. Wang, Zhong-Yu Chen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

CoreSense: Traceable Failure Recall and Conflict-Aware Belief Gating for Auditable Robot Decisions

CoreSense is presented, a robot-system integration architecture that combines traceable episodic evidence with a conflict-aware belief gate and bounded, auditable recommendations that supports an auditable integration pattern, not autonomous recovery or certified safety.

Zoe Li · 0 citations

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