SIR: Structured Image Representations for Explainable Robot Learning | Paper Citation Record

Observation 224c3256-0df9-4d9c-a707-1c64bed71e3a · outbound

This paper cites A survey of robot learning from demon- stration.Robotics and autonomous systems, 57(5):469–483,.

SIR: Structured Image Representations for Explainable Robot Learning A survey of robot learning from demon- stration.Robotics and autonomous systems, 57(5):469–483,

Reference 1

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Observation f2e8130a-10d1-42ed-be91-f34c5aeff82d · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

SIR: Structured Image Representations for Explainable Robot Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 2

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Observation 0bca1e6d-68c5-448e-b5e8-e360698ceb88 · outbound

This paper cites One-shot imitation learning with graph neural networks for pick-and- place manipulation tasks.IEEE Robotics and Automation Letters, 2023.

SIR: Structured Image Representations for Explainable Robot Learning One-shot imitation learning with graph neural networks for pick-and- place manipulation tasks.IEEE Robotics and Automation Letters, 2023

Reference 3

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Observation 4444edac-6c68-4e80-a6ca-6d00a2bafe7c · outbound

This paper cites Goal-conditioned imitation learning.

SIR: Structured Image Representations for Explainable Robot Learning Goal-conditioned imitation learning

Reference 4

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Observation 9792e759-189c-4762-8f83-ca14e20d5f85 · outbound

This paper cites Towards fusing point cloud and visual representations for imitation learning,.

SIR: Structured Image Representations for Explainable Robot Learning Towards fusing point cloud and visual representations for imitation learning,

Reference 5

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Observation 1808b77d-e124-48a8-93c8-5d123cde7345 · outbound

This paper cites Imitation from observation using rl and graph-based repre- sentation of demonstrations.

SIR: Structured Image Representations for Explainable Robot Learning Imitation from observation using rl and graph-based repre- sentation of demonstrations

Reference 6

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Observation aa4ce6f6-da31-409d-b697-a333ee738436 · outbound

This paper cites Conceptgraphs: Open-vocabulary 3d scene graphs for per- ception and planning.

SIR: Structured Image Representations for Explainable Robot Learning Conceptgraphs: Open-vocabulary 3d scene graphs for per- ception and planning

Reference 7

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Observation b503b490-5106-48cb-8d9c-e55f5978ebeb · outbound

This paper cites Aditya Prakash, and Wei Jin.

SIR: Structured Image Representations for Explainable Robot Learning Aditya Prakash, and Wei Jin

Reference 8

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Observation 95198377-12a7-48dc-93eb-4629078b5f88 · outbound

This paper cites Deep residual learning for image recognition.

SIR: Structured Image Representations for Explainable Robot Learning Deep residual learning for image recognition

Reference 9

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Observation 33202c53-d7a3-4ffc-a88d-a8eafbcb32ad · outbound

This paper cites VIRL: Self-supervised visual graph inverse reinforcement learning.

SIR: Structured Image Representations for Explainable Robot Learning VIRL: Self-supervised visual graph inverse reinforcement learning

Reference 10

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Observation ce79666c-49a4-4a1c-8b3a-fcbeb3954848 · outbound

This paper cites Graph inverse reinforcement learning from diverse videos.

SIR: Structured Image Representations for Explainable Robot Learning Graph inverse reinforcement learning from diverse videos

Reference 11

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Observation 5a27611f-1b4b-421a-80c1-432ad29602ac · outbound

This paper cites Self-Attention Graph Pooling.

SIR: Structured Image Representations for Explainable Robot Learning Self-Attention Graph Pooling

Reference 12

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Observation 2e269927-0b69-4fc7-a3f0-521a43e8e122 · outbound

This paper cites Collective Behavior Clone with Visual Attention via Neural Interaction Graph Prediction.

SIR: Structured Image Representations for Explainable Robot Learning Collective Behavior Clone with Visual Attention via Neural Interaction Graph Prediction

Reference 13

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Observation 2f90810f-0ddc-4add-9aff-d9e2b8307592 · outbound

This paper cites Multi-objective photoreal simulation (mops) dataset for computer vision in robotic manipulation.

SIR: Structured Image Representations for Explainable Robot Learning Multi-objective photoreal simulation (mops) dataset for computer vision in robotic manipulation

Reference 14

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Observation 2c662bb0-4aa3-4db0-8048-9384d4140f8e · outbound

This paper cites Efficient and interpretable robot manipulation with graph neural networks.IEEE Robotics and Automation Let- ters, 7(2):2740–2747, 2022.

SIR: Structured Image Representations for Explainable Robot Learning Efficient and interpretable robot manipulation with graph neural networks.IEEE Robotics and Automation Let- ters, 7(2):2740–2747, 2022

Reference 15

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Observation 08f5287d-7081-4397-bc5c-606a1d8caef7 · outbound

This paper cites Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.

SIR: Structured Image Representations for Explainable Robot Learning Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes

Reference 16

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Observation 072808b2-5576-449b-a445-f873cb7f1ee5 · outbound

This paper cites What mat- ters in learning from offline human demonstrations for robot manipulation.

SIR: Structured Image Representations for Explainable Robot Learning What mat- ters in learning from offline human demonstrations for robot manipulation

Reference 17

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Observation 3728108e-724a-4569-b9ce-3b68c81e6d97 · outbound

This paper cites Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manip- ulation tasks.IEEE Robotics and Automation Letters, 7(3): 7327–7334, 2022.

SIR: Structured Image Representations for Explainable Robot Learning Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manip- ulation tasks.IEEE Robotics and Automation Letters, 7(3): 7327–7334, 2022

Reference 18

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Observation e0196f78-8881-4c7c-8500-c3ea5e797624 · outbound

This paper cites Robocasa: Large-scale simulation of every- day tasks for generalist robots.

SIR: Structured Image Representations for Explainable Robot Learning Robocasa: Large-scale simulation of every- day tasks for generalist robots

Reference 19

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Observation af67b70b-605f-43af-a2eb-be79a402afcc · outbound

This paper cites Octo: An open-source generalist robot policy.

SIR: Structured Image Representations for Explainable Robot Learning Octo: An open-source generalist robot policy

Reference 20

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Observation 6b4c56fa-6dca-4bcd-a4ed-c8e47e984339 · outbound

This paper cites An algorithmic perspective on imitation learning.Foundations and Trends® in Robotics, 7(1-2):1–179, 2018.

SIR: Structured Image Representations for Explainable Robot Learning An algorithmic perspective on imitation learning.Foundations and Trends® in Robotics, 7(1-2):1–179, 2018

Reference 21

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Observation 6246f3c6-6a64-4b16-8ec0-61483644de9d · outbound

This paper cites Imitating human behaviour with diffusion models.

SIR: Structured Image Representations for Explainable Robot Learning Imitating human behaviour with diffusion models

Reference 22

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Observation fd7f59d0-f3cf-431a-89cb-fccccef65585 · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 2018.

SIR: Structured Image Representations for Explainable Robot Learning FiLM: Visual Reasoning with a General Conditioning Layer.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 2018

Reference 23

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Observation 384a180d-f783-4514-a473-504dca5d62a0 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

SIR: Structured Image Representations for Explainable Robot Learning Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 24

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Observation 8ec1beff-3808-4b27-930d-20b990b10346 · outbound

This paper cites Compose by focus: Scene graph-based atomic skills, 2025.

SIR: Structured Image Representations for Explainable Robot Learning Compose by focus: Scene graph-based atomic skills, 2025

Reference 25

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Observation 82a93e96-f370-4de6-8df4-e5bb5f1e2229 · outbound

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

SIR: Structured Image Representations for Explainable Robot Learning Learning transferable visual models from natural language supervision

Reference 26

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Observation b5c85c5f-32ea-4813-b263-61b14672c79c · outbound

This paper cites Learnt Sparsification for Interpretable Graph Neural Networks.

SIR: Structured Image Representations for Explainable Robot Learning Learnt Sparsification for Interpretable Graph Neural Networks

Reference 27

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Observation 25df9204-ae93-42b2-ad3b-c142ccbadf09 · outbound

This paper cites Goal conditioned imitation learning using score- based diffusion policies.

SIR: Structured Image Representations for Explainable Robot Learning Goal conditioned imitation learning using score- based diffusion policies

Reference 28

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Observation bf72b098-c49f-43de-8cfb-f0db5ee73187 · outbound

This paper cites Multimodal diffusion transformer: Learn- ing versatile behavior from multimodal goals.

SIR: Structured Image Representations for Explainable Robot Learning Multimodal diffusion transformer: Learn- ing versatile behavior from multimodal goals

Reference 29

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Observation 9f01254b-deac-409a-8218-c9f0d8cdaf12 · outbound

This paper cites FLOWER: Democratizing generalist robot policies with efficient vision- language-flow models.

SIR: Structured Image Representations for Explainable Robot Learning FLOWER: Democratizing generalist robot policies with efficient vision- language-flow models

Reference 30

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Observation a2f96dc6-9e0f-4be4-9742-3aa7fa7788f7 · outbound

This paper cites Behavior transformers: Cloning kmodes with one stone.Advances in neural information processing systems, 35:22955–22968, 2022.

SIR: Structured Image Representations for Explainable Robot Learning Behavior transformers: Cloning kmodes with one stone.Advances in neural information processing systems, 35:22955–22968, 2022

Reference 31

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Observation 1adf14ee-00ac-4fc1-a718-dc950d7e7700 · outbound

This paper cites Graph-structured visual im- itation.

SIR: Structured Image Representations for Explainable Robot Learning Graph-structured visual im- itation

Reference 32

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Observation 22e24882-5261-43d0-a875-40b19a28b362 · outbound

This paper cites Scene graph contrastive learning for embodied navigation.

SIR: Structured Image Representations for Explainable Robot Learning Scene graph contrastive learning for embodied navigation

Reference 33

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Observation 4bc7fd29-c079-482e-b579-20a71a8d8136 · outbound

This paper cites Maximum likelihood training of score-based diffusion mod- els.Advances in neural information processing systems, 34: 1415–1428, 2021.

SIR: Structured Image Representations for Explainable Robot Learning Maximum likelihood training of score-based diffusion mod- els.Advances in neural information processing systems, 34: 1415–1428, 2021

Reference 34

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Observation 84cbd9d1-bea6-4809-9a1d-0c2744a2bbad · outbound

This paper cites 3d-oes: Viewpoint-invariant object-factorized environment simulators, 2020.

SIR: Structured Image Representations for Explainable Robot Learning 3d-oes: Viewpoint-invariant object-factorized environment simulators, 2020

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Observation 1e0d3153-c20c-4996-b38d-d0a44dffd3b2 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

SIR: Structured Image Representations for Explainable Robot Learning Attention is all you need.Advances in Neural Information Processing Systems, 2017

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Observation 17004caf-7514-4f87-a5a5-60235bdd39f7 · outbound

This paper cites Instant policy: In- context imitation learning via graph diffusion.

SIR: Structured Image Representations for Explainable Robot Learning Instant policy: In- context imitation learning via graph diffusion

Reference 37

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Observation f33e6955-bb31-4438-9dc8-322c783b564f · outbound

This paper cites Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey.ACM Trans.

SIR: Structured Image Representations for Explainable Robot Learning Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey.ACM Trans

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Observation d45eb2d9-914e-4064-8ff9-c180b35cba54 · outbound

This paper cites Sparse Graph Attention Networks.

SIR: Structured Image Representations for Explainable Robot Learning Sparse Graph Attention Networks

Reference 39

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Observation d0205f2a-f2ed-4591-8f6d-cdb4b7f16fbc · outbound

This paper cites A Recipe for Causal Graph Regression: Confounding Effects Revisited.

SIR: Structured Image Representations for Explainable Robot Learning A Recipe for Causal Graph Regression: Confounding Effects Revisited

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Observation 23749c68-53b9-44fe-aad2-650aa14563ba · outbound

This paper cites Hierarchical Graph Rep- resentation Learning with Differentiable Pooling.

SIR: Structured Image Representations for Explainable Robot Learning Hierarchical Graph Rep- resentation Learning with Differentiable Pooling

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This paper cites Graph Sparsification via Mixture of Graphs.

SIR: Structured Image Representations for Explainable Robot Learning Graph Sparsification via Mixture of Graphs

Reference 42

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Observation 8781467e-587f-47e3-965a-e6d8677ec18b · outbound

This paper cites Robust Graph Representation Learning via Neural Sparsification.

SIR: Structured Image Representations for Explainable Robot Learning Robust Graph Representation Learning via Neural Sparsification

Reference 43

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This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

SIR: Structured Image Representations for Explainable Robot Learning robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

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Observation c11a3810-5e4a-4b73-876a-b848dda71803 · outbound

This paper cites Hierarchical planning for long-horizon manipulation with geometric and symbolic scene graphs.

SIR: Structured Image Representations for Explainable Robot Learning Hierarchical planning for long-horizon manipulation with geometric and symbolic scene graphs

Reference 45

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Observation 20612f87-a4d4-4662-aaa2-c3ef6448d6ad · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

SIR: Structured Image Representations for Explainable Robot Learning Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 46

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Observation 89c60a9f-f4b8-46c5-b169-f09389ce739f · outbound

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SIR: Structured Image Representations for Explainable Robot Learning Unresolved cited work

Reference 47

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Observation b9225050-7424-463e-a341-a20ce185261f · outbound

This paper cites How- ever, when combining Cropped-Image-Features with BB- Coordinates, we use a smaller ResNet8 backbone with an embedding dimension of 37.

SIR: Structured Image Representations for Explainable Robot Learning How- ever, when combining Cropped-Image-Features with BB- Coordinates, we use a smaller ResNet8 backbone with an embedding dimension of 37

Reference 48

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Observation 2ce2c075-fcc9-4f98-9da3-d3f8d4150ad3 · outbound

This paper cites Ad- ditionally, we provide fine-grained performance metrics for Table 4.

SIR: Structured Image Representations for Explainable Robot Learning Ad- ditionally, we provide fine-grained performance metrics for Table 4

Reference 49

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Observation 4b12bf57-54ac-4f5b-8053-bcaeedc2c242 · outbound

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SIR: Structured Image Representations for Explainable Robot Learning Unresolved cited work

Reference 50

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