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Tote-Handling Robots

Overview

In tote-handling applications, 3D cameras provide reliable 3D perception. For regularly arranged totes and storage locations, they identify tote pose and storage-location coordinates for high-accuracy, high-throughput storage and retrieval. In dense storage areas, point-cloud data reconstructs tote geometry and the surrounding environment to guide pick-and-place positioning and avoid collisions, supporting efficient tote turnover across warehouse workflows.


Key Challenges

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    Varied tote materials, surface imperfections and reflections cause recognition errors
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    Dense storage locations and stacked totes create severe occlusion
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    Complex warehouse lighting and dust reduce pose estimation accuracy

Key Advantages

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    Captures 3D point clouds of storage locations for accurate tote storage and retrieval

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    Recognizes stacked-tote geometry to plan efficient pick-and-place paths

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    Delivers stable operation in dense warehouse areas, even under stray light and dusty conditions

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