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Paper Citation Record · LEDGER

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking

As of 4 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.17757.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.17757 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:06:16.478767Z

measured 26 of 26 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

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26 of 26 outbound references displayed

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Outbound references

Observation 39bccca9-58d7-4c4c-a587-77413d231ef9 · outbound

This paper cites Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Reference 1

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source=pdf_text observed=2026-08-01T17:06:14.889746Z digest=sha256:d370157ec86efdaf6ec2019ca8363c3081460728aaaaaeca8d013d669396b100

Observation d7fe578a-5aba-463c-ad42-1fec9a868700 · outbound

This paper cites Dex- net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Dex- net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning,

Reference 2

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Observation ede438be-8503-4d82-9a21-abb62bb3da7d · outbound

This paper cites Learning ambidextrous robot grasping policies,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Learning ambidextrous robot grasping policies,

Reference 3

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Observation e1151cea-6d6a-427a-b42b-ad67bebf84d3 · outbound

This paper cites Suctionnet-1billion: A large- scale benchmark for suction grasping,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Suctionnet-1billion: A large- scale benchmark for suction grasping,

Reference 4

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source=pdf_text observed=2026-08-01T17:06:15.050648Z digest=sha256:51b1eaaa0fdc5afa91bde427f5a6d502d1406e7d370ab28fe1e548eea0435c4a

Observation 5f0e9c52-50f5-4e08-a811-dde1e5d9a23f · outbound

This paper cites Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching,

Reference 5

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source=pdf_text observed=2026-08-01T17:06:15.192325Z digest=sha256:af1fd2cdad9f092432c680cf49e04d1e7e4cf8c821566c7dd7270161681e5108

Observation a71e9424-e7f2-4c50-9e64-39a5e8ed87f1 · outbound

This paper cites Real-time 3d segmentation of cluttered scenes for robot grasping,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Real-time 3d segmentation of cluttered scenes for robot grasping,

Reference 6

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Observation 54c712c7-5b83-47d1-b801-51fdb945e0c5 · outbound

This paper cites Review of learning-based robotic manipulation in cluttered environments,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Review of learning-based robotic manipulation in cluttered environments,

Reference 7

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Observation a6232bc8-2f46-4255-bc95-5cec1b78e5b0 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 8

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Observation e8f36499-3b68-4d14-bc8c-8f1619a16d45 · outbound

This paper cites Masked-attention mask transformer for universal image segmenta- tion,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Masked-attention mask transformer for universal image segmenta- tion,

Reference 9

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Observation ce241909-c554-40f3-9437-a15f28ee957e · outbound

This paper cites Conditional convolutions for instance segmentation,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Conditional convolutions for instance segmentation,

Reference 10

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Observation 675e22a0-f3d0-4305-87ce-493a84df61fb · outbound

This paper cites The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation,

Reference 11

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Observation 445d5008-bc8a-4518-a0a1-ea7bdd38051c · outbound

This paper cites Unseen object instance segmentation for robotic environments,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Unseen object instance segmentation for robotic environments,

Reference 12

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Observation 41aa8564-bedf-404d-8039-659a47434dee · outbound

This paper cites Learning rgb-d feature embeddings for unseen object instance segmentation,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Learning rgb-d feature embeddings for unseen object instance segmentation,

Reference 13

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Observation 28761dcc-43ca-4735-aa94-949d96c454d2 · outbound

This paper cites Unseen object amodal instance segmentation via hierarchical occlusion mod- eling,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Unseen object amodal instance segmentation via hierarchical occlusion mod- eling,

Reference 14

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Observation 202d7fc9-333e-431e-9c9e-a0cfce7205bd · outbound

This paper cites Mean Shift Mask Transformer for Unseen Object Instance Segmentation.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Mean Shift Mask Transformer for Unseen Object Instance Segmentation

Reference 15

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Observation c6c8eeaf-ff1b-43b6-9054-99a97c5f8385 · outbound

This paper cites Bin picking approaches based on deep learning techniques: A state-of-the- art survey,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Bin picking approaches based on deep learning techniques: A state-of-the- art survey,

Reference 16

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Observation cb10a7c2-0b69-4937-ba63-d784340ff19e · outbound

This paper cites Gripping point determination for bin picking using heuristic search,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Gripping point determination for bin picking using heuristic search,

Reference 17

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Observation a46464b4-6c0c-4e94-b4c9-f5191cd728d8 · outbound

This paper cites Ppr- net: point-wise pose regression network for instance segmentation and 6d pose estimation in bin-picking scenarios,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Ppr- net: point-wise pose regression network for instance segmentation and 6d pose estimation in bin-picking scenarios,

Reference 18

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Observation b6730396-be5a-4676-b680-c4e9513b0f9f · outbound

This paper cites A sim-to-real object recognition and localization framework for industrial robotic bin picking,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking A sim-to-real object recognition and localization framework for industrial robotic bin picking,

Reference 19

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Observation 3e9b7c7d-56ba-44b9-bb30-9129588454cd · outbound

This paper cites A cnn-based grasp planning method for random picking of unknown objects with a vacuum gripper,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking A cnn-based grasp planning method for random picking of unknown objects with a vacuum gripper,

Reference 20

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Observation a01aec99-27bb-4b3d-b321-ddc11d7196d2 · outbound

This paper cites Model-free grasping with multi-suction cup grippers for robotic bin picking,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Model-free grasping with multi-suction cup grippers for robotic bin picking,

Reference 21

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Observation d919d6b7-f725-424b-92fe-90b8d6ab08f2 · outbound

This paper cites Survey on 6d pose estimation of rigid object,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Survey on 6d pose estimation of rigid object,

Reference 22

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Observation 3525209a-101c-416c-8add-5b43a1fb62cc · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Learning transferable visual models from natural language supervision,

Reference 23

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Observation 4d6d1735-9fc4-4d39-8c31-b2a9493bc852 · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Open-vocabulary semantic segmentation with mask-adapted clip,

Reference 24

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Observation 6d5c6154-fc03-45f2-a40e-d6a87121ebb2 · outbound

This paper cites Korea, The Open AI Dataset Project.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Korea, The Open AI Dataset Project

Reference 25

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Observation fd3a2e8f-a0b0-4720-9686-42c4f29de994 · outbound

This paper cites Openclip,.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Openclip,

Reference 26

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