3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS explores A novel planning system for robotic manipulation that uses a 3D world model and Monte Carlo Tree Search to improve performance in tasks requiring spatial memory.. Commercial viability score: 3/10 in Robotics Planning.
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Canonical route: /paper/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts
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Agent Handoff
Canonical ID 3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts | Route /paper/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mctsMCP example
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/buildability/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts
Subject: 3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
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Structured compute envelope
Insufficient data
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Preparing verified analysis
Dimensions overall score 3.0
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Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. memory (Experiment E3), 3D-ALP achieves 0.650±0.109 success rate on memory-required steps versus 0.006±
Page and bbox are available; crop image is pending.
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Receipt path
/buildability/3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts
Paper ref
3d-anchored-lookahead-planning-for-persistent-robotic-scene-memory-via-world-model-based-mcts
arXiv id
2604.11302
Generated at
2026-04-14T16:52:21.637Z
Evidence freshness
stale
Last verification
2026-04-14T16:52:21.637Z
Sources
3
References
0
Coverage
50%
Lineage hash
50febe1609feae45222b00464bb50a6ad16576d48f1f3d7bf4c68d68dec70623
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
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Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. del accumulates positional error as the robot moves. The blend ratio α=0.7 was selected by a line search over α ∈{0.5, 0
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. ed the foundational components: Phase 0 (geometric consistency): SSIM = 1.000, ORB = 1.000 (391/391 keypoints matched) a
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