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ロボティクス/倉庫自動化arXiv:2601.19144

最大容量のグリッド型ストレージにおけるロバストな順不同取出し

Robust Out-of-Order Retrieval for Grid-Based Storage at Maximum Capacity

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グリッド型自動倉庫で、取出し順が保存時に想定した順序から最大k個ずれる場合でも、荷物の移動が不要になる条件を理論的に示し、その配置を計算する手法を提案した論文。

詳しい要約

1. どんなもの?

- 2D grid-based storage system for uniform-sized loads (containers, pallets, totes) moved by a robot along collision-free paths. - Loads are labeled and stored in a given sequence, then retrieved in a different sequence. - Objective: minimize load relocations for efficient retrieval. - Addresses uncertainty in retrieval sequence via k-bounded perturbations. - Proves necessary and sufficient grid width for zero relocations at maximum capacity. - Provides efficient solver for robust storage arrang…

2. 先行研究と比べてどこがすごい?

- Previous result guarantees zero-relocation solution for known storage and retrieval sequences, even at full capacity, if the side of the grid for storage/retrieval is at least 3 cells wide. - This work addresses uncertainty where retrieval sequence can change after storage phase. - Investigates k-bounded perturbations during retrieval. - Proves Θ(k) grid width necessary and sufficient for eliminating relocations at maximum capacity. - Provides efficient solver for robust storage arrangement. -…

3. 技術・手法の肝は?

- Framework for automated storage systems under uncertainty. - Considers 2D grid-based storage with uniform-sized loads. - Loads moved by robot along collision-free paths. - k-bounded perturbations: any two loads may depart out of order if originally at most k positions apart. - Proves Θ(k) grid width necessary and sufficient for zero relocations at maximum capacity. - Efficient solver computes storage arrangement robust to perturbations. - Strategy for perturbations exceeding k to minimize relo…

4. どうやって有効だと検証した?

- Extensive experiments conducted. - For k up to half the grid width, proposed storage-retrieval framework essentially eliminates relocations. - For k values up to full grid width, relocations reduced by 50%+.

5. 議論はある?

- Addresses uncertainty in retrieval sequence via k-bounded perturbations. - Proves necessary and sufficient grid width for zero relocations. - Provides efficient solver for robust storage arrangement. - Introduces strategy for higher uncertainty. - Experiments show effectiveness. - No explicit limitations or open questions discussed in abstract.

6. 次に読むべき論文は?

- Previous result on zero-relocation solution for known sequences (cited as 'a previous result'). - General literature on automated storage and retrieval systems (AS/RS). - Research on robust optimization in logistics. - Studies on grid-based storage systems.

※ AIが要旨から生成した要約です。正確性は原文をご確認ください。

著者: Tzvika Geft, William Zhang, Jingjin Yu, Kostas Bekris

分類: cs.RO, cs.DS

原文アブストラクト

This paper proposes a framework for improving the operational efficiency of automated storage systems under uncertainty. It considers a 2D grid-based storage for uniform-sized loads (e.g., containers, pallets, or totes), which are moved by a robot (or other manipulator) along a collision-free path in the grid. The loads are labeled (i.e., unique) and must be stored in a given sequence, and later be retrieved in a different sequence -- an operational pattern that arises in logistics applications, such as last-mile distribution centers and shipyards. The objective is to minimize the load relocations to ensure efficient retrieval. A previous result guarantees a zero-relocation solution for known storage and retrieval sequences, even for storage at full capacity, provided that the side of the grid through which loads are stored/retrieved is at least 3 cells wide. However, in practice, the retrieval sequence can change after the storage phase. To address such uncertainty, this work investigates \emph{$k$-bounded perturbations} during retrieval, under which any two loads may depart out of order if they are originally at most $k$ positions apart. We prove that a $\Theta(k)$ grid width is necessary and sufficient for eliminating relocations at maximum capacity. We also provide an efficient solver for computing a storage arrangement that is robust to such perturbations. To address the higher-uncertainty case where perturbations exceed $k$, a strategy is introduced to effectively minimize relocations. Extensive experiments show that, for $k$ up to half the grid width, the proposed storage-retrieval framework essentially eliminates relocations. For $k$ values up to the full grid width, relocations are reduced by $50\%+$.

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