MVP-Nav: Multi-layer Value Map Planner Navigator
Zero-shot Object Goal Navigation (ZSON) with RGB-only perception poses a fundamental challenge for embodied agents, as the absence of explicit depth information introduces severe physical uncertainty and semantic-physical misalignment. Existing approaches either rely on high-level semantic reasoning without geometric grounding or learn end-to-end policies that lack explicit physical constraints, often resulting in semantically plausible but physically unsafe behaviors. In this paper, we propose
Record details
Published: 30 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (30 June 2026), “MVP-Nav: Multi-layer Value Map Planner Navigator,” evidence record 384, https://ethics.ai/record/384 (originally published by arXiv).
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