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Paper Citation Record · LEDGER

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2506.20045.

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

pith.paper-citation-record.v1
2506.20045 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:43.179381Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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  • verified fuzzy54
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfdb638b-651c-4f27-bbf7-6ffa8597ef35 · outbound

This paper cites Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.029723Z digest=sha256:f3bb538600f81739e46142cb185f1c5103eddd25330617e96f9bfaa931fb708a

Observation 6e0249dd-5e96-456f-a920-6341cc98544b · outbound

This paper cites A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators,

Reference 2

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raw_fallback, observed 2026-08-06T23:01:43.694065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.033044Z digest=sha256:fc638b74474498550c2b8c09a594aa85fa8f7017c366440ac8ac4d2a87d6ddd2

Observation d77c22e1-3867-4740-8118-1cbfca46ee33 · outbound

This paper cites BOP Challenge 2022 on Detection, Segmen- tation and Pose Estimation of Specific Rigid Objects,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception BOP Challenge 2022 on Detection, Segmen- tation and Pose Estimation of Specific Rigid Objects,

Reference 3

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raw_fallback, observed 2026-08-06T23:01:43.685198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.035898Z digest=sha256:fc80916cb150b3fd15ac0e7193dbe77ad4f80044589af42028452075d646bf5c

Observation 23e1f137-6f4d-4efa-9097-2beeeca18517 · outbound

This paper cites Challenges for Monocular 6D Object Pose Estimation in Robotics,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Challenges for Monocular 6D Object Pose Estimation in Robotics,

Reference 4

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raw_fallback, observed 2026-08-06T23:01:43.676511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.038769Z digest=sha256:e8c9a8923bf1e2666dde5e3b38d34031ba0f771499c0e01ac12d626a6e424563

Observation 43755683-469c-4d47-b673-3e981d0a93e5 · outbound

This paper cites BOP: Benchmark for 6D Object Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception BOP: Benchmark for 6D Object Pose Estimation,

Reference 5

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raw_fallback, observed 2026-08-06T23:01:43.667658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.041704Z digest=sha256:6b1dd7d23734cb5d3a36d9e065f30d0b39ae3a811f0ef7018c3b65c58df8ea1f

Observation a2f70cba-1f41-4d80-aa49-85103c0686c1 · outbound

This paper cites DexYCB: A Benchmark for Capturing Hand Grasping of Objects,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception DexYCB: A Benchmark for Capturing Hand Grasping of Objects,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.044610Z digest=sha256:b2b1459d8fde7ac0a65ab72cbe82faf0a263ab8f9eeb71ff1e5e44e78eac652d

Observation 4fb6b61f-eeac-48af-8209-f82b357a8df0 · outbound

This paper cites Fast Uncertainty Quantification for Deep Object Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Fast Uncertainty Quantification for Deep Object Pose Estimation,

Reference 7

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raw_fallback, observed 2026-08-06T23:01:43.650471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.047641Z digest=sha256:f918131b5205f5378c74d0d0a1f2cb45561a5540741e67a525181a1391fdace0

Observation 860d9d7d-dab8-44c7-a798-f07848e3f078 · outbound

This paper cites FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects,

Reference 8

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raw_fallback, observed 2026-08-06T23:01:43.641895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.050146Z digest=sha256:d7a6c998c5990829702d40d826b0db76c8332aa721156dc3c10245d76aa10d45

Observation acc2381c-ccc6-4c7e-b3b4-7e68d06b8152 · outbound

This paper cites SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Sstimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Sstimation,

Reference 9

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raw_fallback, observed 2026-08-06T23:01:43.633208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.052743Z digest=sha256:83149f1c770d0be2ce63f026e5018be30578357801d6cb844e75217ec8950249

Observation 6163ceeb-8ee5-4373-a7df-54bd71c3b851 · outbound

This paper cites GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence,

Reference 10

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raw_fallback, observed 2026-08-06T23:01:43.624859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.055467Z digest=sha256:5972af883f3279d674cf97c1ddb47c7e2f2b13dcbb4ace321c77a66f861e4d2f

Observation 5458a4df-64ac-49eb-a54e-ec7334e82449 · outbound

This paper cites GenPose: Generative Category-level Object Pose Estimation via Diffusion Models,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception GenPose: Generative Category-level Object Pose Estimation via Diffusion Models,

Reference 11

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raw_fallback, observed 2026-08-06T23:01:43.615984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.058410Z digest=sha256:e815057cec5986c447739ca5a21ecf36ba503af46d922ef9494e6bba6aa8ae2a

Observation f7802ee3-1927-4301-bae2-fb2b073b3f12 · outbound

This paper cites Self-supervised 6D Object Pose Estimation for Robot Manipulation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Self-supervised 6D Object Pose Estimation for Robot Manipulation,

Reference 12

Resolution
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raw_fallback, observed 2026-08-06T23:01:43.607282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.061028Z digest=sha256:45904355ef548b8361980e0eab435f8215272e5356dacf859d9d422937f5ea1b

Observation aa5eebf9-5bc5-40b6-ac2f-609d53d8a4c9 · outbound

This paper cites GraspNet-1Billion: A Large- Scale Benchmark for General Object Grasping,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception GraspNet-1Billion: A Large- Scale Benchmark for General Object Grasping,

Reference 13

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raw_fallback, observed 2026-08-06T23:01:43.598483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.063681Z digest=sha256:4dab954ca2b5d4f4791f28d54d7ff564804c8dbeb92854e064df3ef337a14254

Observation 9cb81e57-1416-4deb-83a8-ec17c2c375dd · outbound

This paper cites Contact- GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Contact- GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes,

Reference 14

Resolution
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raw_fallback, observed 2026-08-06T23:01:43.590164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.066181Z digest=sha256:0affa666115efbca615205f5c690e07defd86dbcf708bd4585400e3d9bb763fb

Observation d390ad09-7c66-44f3-9031-b321edf2bd70 · outbound

This paper cites Neural Grasp Distance Fields for Robot Manipulation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Neural Grasp Distance Fields for Robot Manipulation,

Reference 15

Resolution
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raw_fallback, observed 2026-08-06T23:01:43.581242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.068617Z digest=sha256:a8b163df325b32ebfb4024e09271f2088813535b50bafb2e285fa50d47bc2eb6

Observation 213fc1a6-5b01-4f47-a583-2063fe74b66e · outbound

This paper cites Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly,

Reference 16

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raw_fallback, observed 2026-08-06T23:01:43.572705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.071551Z digest=sha256:7c7702bf5e96eb832fdce09d24dcf92a61c48d2fa6134010f90ff75439eb2e3a

Observation 3b6a44b5-6fba-4ca8-84b7-c77095025c34 · outbound

This paper cites SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion,

Reference 17

Resolution
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raw_fallback, observed 2026-08-06T23:01:43.564223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.074111Z digest=sha256:48290bb3b55f449c9b1ed8bd5c9d265f6bc7db30bc04eb502679dc1b80a061b9

Observation 3f51c5bf-fa86-45ac-99b7-036571163d6e · outbound

This paper cites PoseCNN: A Con- volutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception PoseCNN: A Con- volutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes,

Reference 18

Resolution
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raw_fallback, observed 2026-08-06T23:01:43.555742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.076825Z digest=sha256:cf981a97eaa86b27b0d7d7c746aa9c9d4ed78bc6d9b9e65482c92727ad28234e

Observation d16dd4a6-78e4-47ba-9a62-0ceb3da64be0 · outbound

This paper cites Implicit 3D Orientation Learning for 6D Object Detection from RGB Images,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Implicit 3D Orientation Learning for 6D Object Detection from RGB Images,

Reference 19

Resolution
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raw_fallback, observed 2026-08-06T23:01:43.546550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.079397Z digest=sha256:be73c89ea663680633cd348799fb8ffbf1cf1640afb0da594a9cafb1f64d4e3d

Observation 2895f114-3d31-4d78-be35-5df56b2fffad · outbound

This paper cites BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth,

Reference 20

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raw_fallback, observed 2026-08-06T23:01:43.537972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.081995Z digest=sha256:75ef6bc7e5ab7e893928cc781edb6b6016567f1b8e1871b82fe8269d45b24d17

Observation e04cd5a2-fe7d-4530-b078-cfe59baf4d5b · outbound

This paper cites Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects,

Reference 21

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raw_fallback, observed 2026-08-06T23:01:43.529158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.084813Z digest=sha256:aebc0a0a111086afe6c13fd9619609b7c03aaecf9bca112c2e3b3b0cab425b02

Observation ff48bc3c-4344-4445-82d9-a0f17fe5e4c0 · outbound

This paper cites Real-Time Seamless Single Shot 6D Object Pose Prediction,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Real-Time Seamless Single Shot 6D Object Pose Prediction,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.520328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.087308Z digest=sha256:d905d08167d65b61bf4f06cdec7de44a56a6af4cb7ef7cf70054cefe844c9d3a

Observation fda9b354-0250-4664-b362-5bb7f31deb9a · outbound

This paper cites PVNet: Pixel-wise V oting Network for 6DoF Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception PVNet: Pixel-wise V oting Network for 6DoF Pose Estimation,

Reference 23

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raw_fallback, observed 2026-08-06T23:01:43.511703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.090031Z digest=sha256:106d8e07602ccdf02c86253eb611f9004fcb65f46159f82f0d0e0ac4cf44f23d

Observation 8c93e8cf-3f67-4531-8823-ed3d9b9d9ae7 · outbound

This paper cites Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.503113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.093030Z digest=sha256:f1e500ebcb17677d0baec94aa117fa51b838d4beb6764bb7cc81d7c732eecdb3

Observation 852858a8-bcb1-496d-924c-9089ed775347 · outbound

This paper cites EPOS: Estimating 6D Pose of Objects with Symmetries,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception EPOS: Estimating 6D Pose of Objects with Symmetries,

Reference 25

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raw_fallback, observed 2026-08-06T23:01:43.494383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.095637Z digest=sha256:873ee7b66601de9c5c9eec45280cc5598f3bb0d874351692d06534358e14aaaf

Observation 95836dbd-11d7-488c-8413-24a50d664053 · outbound

This paper cites GDR-Net: Geometry- Guided Direct Regression Network for Monocular 6D Object Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception GDR-Net: Geometry- Guided Direct Regression Network for Monocular 6D Object Pose Estimation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.485980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.098403Z digest=sha256:c4a5a95ebff4e8a8016d89c7c7434234a808edd87654f0673c1d11bec00d6792

Observation 4e01f4a6-84b9-420e-b8e9-f7fc0936e2c6 · outbound

This paper cites ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.477091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.101176Z digest=sha256:cd2008663b21ecd16e06db251eb41b6fee7cda42582c421cea3685d3eb1ee07c

Observation a77c7d36-fe9c-4b3c-b45d-b710d5e34197 · outbound

This paper cites Neural Correspondence Field for Object Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Neural Correspondence Field for Object Pose Estimation,

Reference 28

Resolution
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raw_fallback, observed 2026-08-06T23:01:43.468430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.103741Z digest=sha256:29fb18ffa12d30424c61f79adf95863c7a9ca47a35b62645e59067a814910de3

Observation 578decad-695b-4bdd-852e-87a80fe142f9 · outbound

This paper cites CheckerPose: Progressive Dense Keypoint Lo- calization for Object Pose Estimation with Graph Neural Network,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception CheckerPose: Progressive Dense Keypoint Lo- calization for Object Pose Estimation with Graph Neural Network,

Reference 29

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raw_fallback, observed 2026-08-06T23:01:43.459967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.106491Z digest=sha256:b46ade94f126cd91d67413a9aba72db3f0bcf1c50e1aa1f9f404727ecf48c817

Observation 05945a61-e4e9-41b5-b8c2-e30718e2cc43 · outbound

This paper cites On the Continuity of Rotation Representations in Neural Networks,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception On the Continuity of Rotation Representations in Neural Networks,

Reference 30

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raw_fallback, observed 2026-08-06T23:01:43.451742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.108915Z digest=sha256:2803eae8c8fca123bdbc84ff262344285e6b95359d783f11128868cb4b11e117

Observation 1db4370a-a196-41c9-b5b6-0955958fb4ca · outbound

This paper cites CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estima- tion,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estima- tion,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.443559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.111541Z digest=sha256:5f1a3e21e11e5ae349bb0bdb2b6f3cde1416781737305262e30caa56b751791b

Observation 3a7d5e61-ae40-4405-9bd4-ebacb7921de0 · outbound

This paper cites SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.434472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.114239Z digest=sha256:4ceb70080e473738f4d8648fdfa2472df1cd6a07f4cbb31d0cadd92c483d2e83

Observation 795a48c8-8af5-4f4b-9a95-0e621f086788 · outbound

This paper cites Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.425614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.116858Z digest=sha256:da856ce54f7cbacf30e74ca447375559a31bd928be54759a4dc1284637d00516

Observation 82136b2e-2eba-451e-b7c4-68e473a9ddbe · outbound

This paper cites Implicit-PDF: Non-Parametric Representation of Probability Distribu- tions on the Rotation Manifold,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Implicit-PDF: Non-Parametric Representation of Probability Distribu- tions on the Rotation Manifold,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.416313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.119464Z digest=sha256:362d8480bc9ec8e2a2cf737d8ef02dddf20577ed70f09401733a96e8e928cbea

Observation 0111c670-8cbd-4ec8-accc-8470b8eb169f · outbound

This paper cites HyperPosePDF- Hypernetworks Predicting the Probability Distribution on SO(3),.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception HyperPosePDF- Hypernetworks Predicting the Probability Distribution on SO(3),

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.406872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.122085Z digest=sha256:cfee0a4399e89ea685a7d2e9728654a63841128266f9b1a70079e2ac5168283a

Observation e1b0a9d5-fac9-40c5-ba6b-017d6358a8d7 · outbound

This paper cites SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.397658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.124737Z digest=sha256:c252e574965c0121f549ba3d79dda87913b6f1893a21a9ad707dc8ccc958deb9

Observation c3a5c4ce-028d-4389-98d6-b8648b29a4a2 · outbound

This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.387751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.127639Z digest=sha256:8047a3b0e82f7d1bf13a1fcafe69162179e9c323cf21e4c28ff8943d69b50d4a

Observation 081cd528-edf4-4ed6-a9b0-a5db66abe732 · outbound

This paper cites Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.378709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.130505Z digest=sha256:fdb1f330f2b88b80ab126271d2c69f149a61d0490947e8591cff6b0775283610

Observation 10a546f7-6ac7-490a-9fe8-3f47d796e85e · outbound

This paper cites Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:01:43.215339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.133351Z digest=sha256:07a527c0a95ac3ce4944696a7df30cd41500d5264e513e3313f55eba17ddd1d8

Observation 57c412c7-be49-4274-8144-1516a79c4d54 · outbound

This paper cites Grasping Under Uncertainties: Sequential Neural Ratio Estimation for 6-DoF Robotic Grasping,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Grasping Under Uncertainties: Sequential Neural Ratio Estimation for 6-DoF Robotic Grasping,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.369458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.136404Z digest=sha256:58572e55b5431693d44b1ffd801e85fe6c5910906a3f769dce532c5a0d8f4822

Observation 633d2bbf-0280-4ab0-9e32-6a85e15b6c02 · outbound

This paper cites The Franka Emika Robot: A Reference Platform for Robotics Research and Educa- tion,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception The Franka Emika Robot: A Reference Platform for Robotics Research and Educa- tion,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.359968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.139573Z digest=sha256:0852976c65343878b8739e42ce9eeed0fa37d4629f27d902de9e8f414e1b0094

Observation 75a2ea8f-dc82-4b8e-84f8-a61e2792afee · outbound

This paper cites Adaptive synergies for the design and control of the Pisa/IIT SoftHand,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Adaptive synergies for the design and control of the Pisa/IIT SoftHand,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.350846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.142250Z digest=sha256:6d994852ad66f3cf7212ff09d3b0e32b3f297e868b61e4a0689b60d316a17215

Observation 493efef9-9462-432e-8c27-6338b63a3c9d · outbound

This paper cites The Velo gripper: A versatile single- actuator design for enveloping, parallel and fingertip grasps,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception The Velo gripper: A versatile single- actuator design for enveloping, parallel and fingertip grasps,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.341294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.145093Z digest=sha256:c378de2a3ff58fc77d7ab9c8cfba5e718e4121eafd5d282407ce1a54634afe1a

Observation 8a1714f7-348b-4c59-b4b4-5e68e9168dfe · outbound

This paper cites The Highly Adaptive SDM Hand: Design and Performance Evaluation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception The Highly Adaptive SDM Hand: Design and Performance Evaluation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.331974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.147660Z digest=sha256:fe4ec368c86dbe6bfdc5f7de5ac64db7d53c6bdc368258a1004f3ca08c7b1cbd

Observation a05c6608-ad07-4648-8165-53c665d896f7 · outbound

This paper cites An Anthropomorphic Under- actuated Robotic Hand with 15 Dofs and a Single Actuator,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception An Anthropomorphic Under- actuated Robotic Hand with 15 Dofs and a Single Actuator,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.322827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.150524Z digest=sha256:de4c1cdc0b2a0d7a3990465c09892fcb1c4eb9e0411a63525e4bbde1df7677d3

Observation c5cf6ab9-5327-40ab-8953-d120eda39a0b · outbound

This paper cites A compliant, underactuated hand for robust manipulation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception A compliant, underactuated hand for robust manipulation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.313570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.153347Z digest=sha256:bbb6dd1ade88cba0f754a7dbeb1451c44cf8eeb7da52146e94feba600f4c8f81

Observation c17ea24a-9e33-46e0-bf3f-d1b7fcad79a6 · outbound

This paper cites The Ocean One hands: An adaptive design for robust marine manipulation,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception The Ocean One hands: An adaptive design for robust marine manipulation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.304494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.156257Z digest=sha256:b141e7c14a637efd115ba504113b8632a69debd7c1b11bb92714976463edbc8f

Observation 4878718b-0e46-4a8a-960c-45ad63a1df86 · outbound

This paper cites A highly-underactuated robotic hand with force and joint angle sensors,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception A highly-underactuated robotic hand with force and joint angle sensors,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.295442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.159064Z digest=sha256:c671bbc78bf114aaf764864b2f205c80c993176ec1471c55fb64573fef78cc6d

Observation e657955c-642a-44ce-b474-2448c5f10c2c · outbound

This paper cites Design of the Utah/M.I.T. Dextrous Hand,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Design of the Utah/M.I.T. Dextrous Hand,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.286013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.162061Z digest=sha256:b7b6104b90218cfb60b539c1034609aa9c5d1d5d4cd1fd1b29228ce8954def75

Observation 0355efd3-8948-4e61-af86-79b733ff2357 · outbound

This paper cites Modeling and control of the stanford/JPL hand,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Modeling and control of the stanford/JPL hand,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.276763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.164989Z digest=sha256:78873e9671dfcb8b2787882864012d753255c010e6c420a8a12696122bed2158

Observation 759adb5c-d636-49be-a51d-8fff580a4896 · outbound

This paper cites Mechanisms of the Anatomically Correct Testbed Hand,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Mechanisms of the Anatomically Correct Testbed Hand,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.266680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.168362Z digest=sha256:589ef92e61998409b3a15fd459532a3da9a5d061ce4c2248d91ba7bec39fdcb5

Observation ba1f528d-eacf-4d17-b4af-3b9675349cfe · outbound

This paper cites Underactuation Design for Tendon-Driven Hands via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Underactuation Design for Tendon-Driven Hands via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.255454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.171124Z digest=sha256:023797ca98387577c373522000bad720799bddcc156869a0c3e1a2c6672805a3

Observation 06936ca4-0088-479e-92ae-281000ecbfda · outbound

This paper cites Hardware as policy: Mechanical and computational co-optimization using deep reinforcement learning,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception Hardware as policy: Mechanical and computational co-optimization using deep reinforcement learning,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.245468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.173937Z digest=sha256:1fb1821f50c1f9ff3b015514bcb0bcf1a73348cf6e6f8f9c8623b383cb1c0f2d

Observation 0ff95a8a-780d-43af-9477-1cbfdde0b239 · outbound

This paper cites MuJoCo: A physics engine for model-based control,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception MuJoCo: A physics engine for model-based control,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.235180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.176636Z digest=sha256:71e7d4cd1dfbc6a0f0035f22529f1f5442b1ca90c95ed0a1ed61ab007109221d

Observation 57fe3f63-199d-4b65-ab98-b79eae133c17 · outbound

This paper cites BOP Challenge 2020 on 6D Object Localization,.

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception BOP Challenge 2020 on 6D Object Localization,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:43.225856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:01:43.179381Z digest=sha256:30f9be7de796b630e3c054115f0c45473f1587a042fba7be70348e389a9938ae

Pith citing papers

No inbound Pith citation observations are available.