Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments | Paper Citation Record

Observation bc90fe9f-731f-45e0-b55e-f2e63edc47d8 · outbound

This paper cites International Journal of Modern Manufacturing Technologies, Special Issue, XI3, 103–109 (2019).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments International Journal of Modern Manufacturing Technologies, Special Issue, XI3, 103–109 (2019)

Reference 1

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This paper cites Journal of Mechanical Design 143(4), 040802 (2021).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Journal of Mechanical Design 143(4), 040802 (2021)

Reference 2

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This paper cites Sensors20(21), 6347 (2020).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Sensors20(21), 6347 (2020)

Reference 3

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This paper cites Publications Office of the European Union (2020).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Publications Office of the European Union (2020)

Reference 4

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This paper cites In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp

Reference 5

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This paper cites International journal of multimedia information retrieval7(2), 87–93 (2018).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments International journal of multimedia information retrieval7(2), 87–93 (2018)

Reference 6

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This paper cites Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study

Reference 7

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This paper cites A Survey on Deep Domain Adaptation for LiDAR Perception.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments A Survey on Deep Domain Adaptation for LiDAR Perception

Reference 8

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This paper cites Cascaded Refinement Network for Point Cloud Completion.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Cascaded Refinement Network for Point Cloud Completion

Reference 9

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This paper cites an unresolved cited work.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Unresolved cited work

Reference 10

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This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 11

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This paper cites Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras

Reference 12

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This paper cites In: 2019 International Conference on Robotics and Automation (ICRA), pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2019 International Conference on Robotics and Automation (ICRA), pp

Reference 13

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This paper cites In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp

Reference 14

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This paper cites VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

Reference 15

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This paper cites VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation

Reference 16

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This paper cites ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

Reference 17

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Observation f62faa5c-50a4-43f8-90f7-c22d5b21f7b1 · outbound

This paper cites Recurrent Slice Networks for 3D Segmentation of Point Clouds.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Recurrent Slice Networks for 3D Segmentation of Point Clouds

Reference 18

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)

Reference 19

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This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 20

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This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 21

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This paper cites PointCNN: Convolution On $\mathcal{X}$-Transformed Points.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments PointCNN: Convolution On $\mathcal{X}$-Transformed Points

Reference 22

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Observation 5f32b243-d961-4791-b944-f187acb676a0 · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Dynamic Graph CNN for Learning on Point Clouds

Reference 23

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This paper cites SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

Reference 24

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This paper cites SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

Reference 25

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This paper cites IEEE Robotics and Automation Letters3(4), 3434–3440 (2018) https://doi.org/10.1109/LRA.2018.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments IEEE Robotics and Automation Letters3(4), 3434–3440 (2018) https://doi.org/10.1109/LRA.2018

Reference 26

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This paper cites SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Reference 27

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This paper cites (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network

Reference 28

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 29

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This paper cites Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection

Reference 30

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This paper cites Applied Sciences10, 1183 (2020) https://doi.org/10.3390/app10031183.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Applied Sciences10, 1183 (2020) https://doi.org/10.3390/app10031183

Reference 31

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 32

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This paper cites Robotics and Computer-Integrated Manu- facturing (2021) https://doi.org/10.1016/j.rcim.2021.102304.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Robotics and Computer-Integrated Manu- facturing (2021) https://doi.org/10.1016/j.rcim.2021.102304

Reference 33

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This paper cites Robotics and Computer-Integrated Manufacturing86, 102663 (2024) https://doi.org/10.1016/ j.rcim.2023.102663.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Robotics and Computer-Integrated Manufacturing86, 102663 (2024) https://doi.org/10.1016/ j.rcim.2023.102663

Reference 34

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This paper cites Frontiers in Neurorobotics17 (2023) https://doi.org/10.3389/fnbot.2023.1084000.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Frontiers in Neurorobotics17 (2023) https://doi.org/10.3389/fnbot.2023.1084000

Reference 35

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This paper cites Advanced Engineering Informatics65, 103109 (2025) https://doi.org/10.1016/j.aei.2025.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Advanced Engineering Informatics65, 103109 (2025) https://doi.org/10.1016/j.aei.2025

Reference 36

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This paper cites The International Journal of Advanced Manufacturing Technology132, 1–23 (2024) https://doi.org/10.1007/s00170-024-13385-2.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments The International Journal of Advanced Manufacturing Technology132, 1–23 (2024) https://doi.org/10.1007/s00170-024-13385-2

Reference 37

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This paper cites IEEE Robotics and Automation Letters9(5), 4186–4193 (2024) https: //doi.org/10.1109/LRA.2024.3376974.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments IEEE Robotics and Automation Letters9(5), 4186–4193 (2024) https: //doi.org/10.1109/LRA.2024.3376974

Reference 38

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This paper cites 798–805 (2023).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments 798–805 (2023)

Reference 39

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This paper cites International Journal of Industrial Ergonomics104, 103663 (2024) https://doi.org/10.1016/j.ergon.2024.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments International Journal of Industrial Ergonomics104, 103663 (2024) https://doi.org/10.1016/j.ergon.2024

Reference 40

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This paper cites IEEE Transactions on Automation Science and EngineeringPP, 1–1 (2025) https://doi.org/10.1109/TASE.2025.3528051.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments IEEE Transactions on Automation Science and EngineeringPP, 1–1 (2025) https://doi.org/10.1109/TASE.2025.3528051

Reference 41

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This paper cites https://doi.org/10.1561/2300000052.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments https://doi.org/10.1561/2300000052

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:30.575708Z

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This paper cites Frontiers in Robotics and AI9(2022) https://doi.org/10.3389/frobt.2022.799522 20.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Frontiers in Robotics and AI9(2022) https://doi.org/10.3389/frobt.2022.799522 20

Reference 43

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T04:50:31.225098Z

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Observation 00bf3582-6440-49f3-82fb-3c3a8059b5b9 · outbound

This paper cites Journal of Occupational Accidents9, 27–45 (1987).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Journal of Occupational Accidents9, 27–45 (1987)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:35.588095Z

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Observation 4a2034c5-1b84-4998-bc47-5f73e4ff9cdb · outbound

This paper cites In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp

Reference 45

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Observation 50daf5be-1083-446c-8d6c-e7b9ffef615f · outbound

This paper cites Sensors23(21) (2023) https://doi.org/ 10.3390/s23218989.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Sensors23(21) (2023) https://doi.org/ 10.3390/s23218989

Reference 46

Resolution: verified exact; doi, observed 2026-08-07T04:50:30.707376Z

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Observation 9a07a66d-2fe7-4ed7-8a6d-69416c114eec · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:30.605521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2789c562-8a34-4186-97a7-93264993b9a7 · outbound

This paper cites Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:30.609485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38839cce-642d-4544-aa9b-19043f856c4a · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:35.453279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d576e9c0-df61-403e-8951-1488e89dd276 · outbound

This paper cites In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETF A), pp.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETF A), pp

Reference 50

Resolution: malformed identifier; no resolver link, observed 2026-08-07T04:50:30.617845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae9e5e21-e500-44bd-83a0-c76c52fe7bc2 · outbound

This paper cites CoRR (2020).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments CoRR (2020)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:35.293955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 18becce5-3ddb-4481-bb1f-2d079c6dd36f · outbound

This paper cites 2D vs. 3D LiDAR-based Person Detection on Mobile Robots.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments 2D vs. 3D LiDAR-based Person Detection on Mobile Robots

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:30.627463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8790f0cb-cada-4eb5-9d39-950f37176766 · outbound

This paper cites In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:30.632023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428c3bb0-267e-4d9f-8b70-fa4dab10fe78 · outbound

This paper cites CoRR (2020).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments CoRR (2020)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:35.098778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 718a39e5-1be2-4ce4-bd78-23ff69742d52 · outbound

This paper cites CoRR (2020).

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments CoRR (2020)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:34.883625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 56451b1c-6a3d-4e55-966b-4210b73e7bd8 · outbound

This paper cites Automation in Construction130, 103874 (2021) https://doi.org/10.1016/j.autcon.2021.103874.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Automation in Construction130, 103874 (2021) https://doi.org/10.1016/j.autcon.2021.103874

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:30.644354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315679a5-2960-4b3e-92e9-ef8cff25b8d9 · outbound

This paper cites an unresolved cited work.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:50:34.652928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a438aa2-f5e9-4000-b293-38f689abe200 · outbound

This paper cites an unresolved cited work.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:50:34.397118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6cec1a2-6d91-4697-85ca-2d63d84fb924 · outbound

This paper cites Accessed: 01.02.2024.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Accessed: 01.02.2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:50:34.161308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers