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3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

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学术前沿 5.5 分 — 中等偏上:有一定信息增量和参考价值
原文: cs.AI updates on arXiv.org

评分 5.5 · 来源:cs.AI updates on arXiv.org · 发布于 2026-04-14

评分依据:中等偏上:有一定信息增量和参考价值

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

arXiv:2604.11302v1 Announce Type: cross Abstract: We present 3D-Anchored Lookahead Planning (3D-ALP), a System 2 reasoning engine for robotic manipulation that combines Monte Carlo Tree Search (MCTS) with a 3D-consistent world model as the rollout oracle. Unlike reactive policies that evaluate actions from the current camera frame only, 3D-ALP maintains a persistent camera-to-world (c2w) anchor that survives occlusion, enabling accurate replanning to object positions that are no longer directly…