← Paper Survey トップ
日次実行レポート 2026-08-13
生成: 2026-08-13T06:00:03 ・ エンジン: llm:gemma-4-26b
自動倉庫におけるマルチエージェント計画・タスク形成最適化
候補 481 / 新規 393 / 目標 2 / 追加 2 / スキップ 12
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補充候補 / 採択先 Proceedings of the International Conference on Automated Planning and Scheduling 2025 / 読む価値 5 / 関連度 5 / 被引用 1: db-LaCAM: Fast and Scalable Multi-Robot Kinodynamic Motion Planning with Discontinuity-Bounded Search and Lightweight MAPF
補充候補 / 採択先 未取得 / 読む価値 4 / 関連度 5 / 被引用 1: Deadlock-Free Hybrid RL-MAPF Framework for Zero-Shot Multi-Robot Navigation
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Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities (本文未取得(アブストラクトのみ))
AGV Traffic Management in Automated Industrial Plants: An Enhanced Lifelong Multi-Agent Path Finding Approach (本文未取得(アブストラクトのみ))
Research Challenges and Opportunities in Multi-Agent Path Finding and Multi-Agent Pickup and Delivery Problems (本文未取得(アブストラクトのみ))
A Robust Lifelong Multi-Agent Path Finding With Active Conflict Resolution and Decentralized Execution (本文未取得(アブストラクトのみ))
Adaptive Lifelong Multi-Agent Path Finding With Multiple Priorities (本文未取得(アブストラクトのみ))
Energy-Constrained Hybrid Repair for Lifelong Multi-Agent Path Finding in Smart Warehouses (本文未取得(アブストラクトのみ))
A TSP-Based Online Algorithm for Multi-Task Multi-Agent Pickup and Delivery (本文未取得(アブストラクトのみ))
Multi-Agent Pickup and Delivery in Presence of Another Team of Robots (本文未取得(アブストラクトのみ))
Robust Space-Time A* for Human-In-The-Loop Multi-Agent Pickup and Delivery (本文未取得(アブストラクトのみ))
Lifelong MAPF for Shipment Preparation in Stochastic Warehouses (本文未取得(アブストラクトのみ))
Self-Assembly Planning for Modular Robots via Multi-Agent Path Finding on Time-Expanded Networks (本文未取得(アブストラクトのみ))
MAPF and MAPD: Recent Developments and Future Directions (short paper) (曖昧な略語のみ一致(MAPD, MAPF)、必須の分野語なし)
文書構造解析に基づく検索・質問応答・RAG
候補 338 / 新規 280 / 目標 2 / 追加 2 / スキップ 1
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新着論文 / 採択先 未取得 / 読む価値 4 / 関連度 7 / 被引用 0: RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction
補充候補 / 採択先 SIGMOD Companion 2026, pp. 70-73 / 読む価値 4 / 関連度 5 / 被引用 0: AkasicDB: Demonstrating Omni RAG with a Unified Vector-Graph-Relational DBMS
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Retrieval-Augmented Generation for Curated Thematic Corpora: A Critical Survey, Bibliometric Evidence, and the ThemePath-RAG Framework (本文未取得(アブストラクトのみ))