EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning | Paper Citation Record

Observation 13f41925-a32c-43d8-9657-d2d4f553865b · outbound

This paper cites Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics,

Reference 1

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Observation c639fa1c-38dd-48df-9c5b-40e26591baaf · outbound

This paper cites Pointnetgpd: Detecting grasp configurations from point sets,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Pointnetgpd: Detecting grasp configurations from point sets,

Reference 2

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Observation bdf71511-5bf8-458a-9755-aafd890a1a94 · outbound

This paper cites 6-dof graspnet: Varia- tional grasp generation for object manipulation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning 6-dof graspnet: Varia- tional grasp generation for object manipulation,

Reference 3

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Observation c0ae43a1-e910-4a57-9366-b024199d5dbf · outbound

This paper cites S4g: Amodal single-view single- shot se(3) grasp detection in cluttered scenes,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning S4g: Amodal single-view single- shot se(3) grasp detection in cluttered scenes,

Reference 4

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Observation d7c95e9c-ee34-4829-9316-b614f3964eff · outbound

This paper cites Contact- graspnet: Eﬀicient 6-dof grasp generation in cluttered scenes,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Contact- graspnet: Eﬀicient 6-dof grasp generation in cluttered scenes,

Reference 5

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Observation 8d51e6d6-3f8e-41e1-b710-48458ff5b553 · outbound

This paper cites Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation,

Reference 6

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Observation 6d1caa88-f9b9-4fb1-bd87-a33b96fa55f8 · outbound

This paper cites Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes,

Reference 7

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Observation 73b229b2-d302-4de3-99a0-d62e494b887a · outbound

This paper cites Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,

Reference 8

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Observation f03541f4-97c1-4f46-9d91-976908eea65f · outbound

This paper cites Unidexgrasp++: Improving dexterous grasping policy learn- ing via geometry-aware curriculum and iterative generalist- specialist learning,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Unidexgrasp++: Improving dexterous grasping policy learn- ing via geometry-aware curriculum and iterative generalist- specialist learning,

Reference 9

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Observation 940e2826-8d2e-4df9-af0b-0757a3472dce · outbound

This paper cites Multigrippergrasp: A dataset for robotic grasping from parallel jaw grippers to dexterous hands,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Multigrippergrasp: A dataset for robotic grasping from parallel jaw grippers to dexterous hands,

Reference 10

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Observation 4bf2deb6-c142-42e4-a38b-cbd8a9d69d05 · outbound

This paper cites Cross-embodiment dex- terous grasping with reinforcement learning,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Cross-embodiment dex- terous grasping with reinforcement learning,

Reference 11

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Observation e2e38efd-9d9d-4adb-af1e-d884d5ae7acb · outbound

This paper cites Eﬀicient residual learning with mixture-of-experts for universal dexterous grasping,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Eﬀicient residual learning with mixture-of-experts for universal dexterous grasping,

Reference 12

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Observation b198a83b-3e3a-4b31-8f0e-6d9b0af49c43 · outbound

This paper cites D(R,O) grasp: A unified representation of robot and object interaction for cross-embodiment dexterous grasping,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning D(R,O) grasp: A unified representation of robot and object interaction for cross-embodiment dexterous grasping,

Reference 13

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Observation d2940215-b7fb-43e9-9d83-93dc6005143c · outbound

This paper cites UniFucGrasp: Human- hand-inspired unified functional grasp annotation strategy and dataset for diverse dexterous hands,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning UniFucGrasp: Human- hand-inspired unified functional grasp annotation strategy and dataset for diverse dexterous hands,

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.533646Z

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Observation f66eeedc-8742-4195-a2d2-c6135be5b8b9 · outbound

This paper cites DexVLG: Dexterous vision-language-grasp model at scale,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning DexVLG: Dexterous vision-language-grasp model at scale,

Reference 15

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Observation f1e889d2-14da-44e8-899d-b906f975ecf4 · outbound

This paper cites Postural hand synergies for tool use,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Postural hand synergies for tool use,

Reference 16

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Observation a5d479cc-d6bd-44ec-9333-d8f8af4ee187 · outbound

This paper cites Dexterous grasping with low-dimensional hand models,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Dexterous grasping with low-dimensional hand models,

Reference 17

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Observation 4ab73402-3392-4306-917f-824198601ce8 · outbound

This paper cites Hand posture subspaces for dexterous robotic grasping,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Hand posture subspaces for dexterous robotic grasping,

Reference 18

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Observation e2d3687f-cc34-4ce7-89fb-3d649a1d8234 · outbound

This paper cites Mapping synergies from human to robotic hands with dis- similar kinematics: An approach in the object domain,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Mapping synergies from human to robotic hands with dis- similar kinematics: An approach in the object domain,

Reference 19

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Observation e41962b8-b4e1-4d4f-a2bd-ec8978c6fd5f · outbound

This paper cites Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands,

Reference 20

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Observation 0ae6deca-be9a-4332-ab2f-7017fe2e5133 · outbound

This paper cites Synergy-based grasp synthesis for multi-fingered hands,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Synergy-based grasp synthesis for multi-fingered hands,

Reference 21

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Observation 751cda53-dd7d-4c93-8b58-c65112830151 · outbound

This paper cites DexDiffuser: Generating Dexterous Grasps with Diffusion Models.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning DexDiffuser: Generating Dexterous Grasps with Diffusion Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.530774Z

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Observation 6eb34bd6-2367-4781-b77c-6a46fd6bb878 · outbound

This paper cites Learning diverse and physically feasible dexterous grasps with generative model and bilevel optimization,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Learning diverse and physically feasible dexterous grasps with generative model and bilevel optimization,

Reference 23

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Observation 880c337a-f5f3-4570-8158-e8ae37906508 · outbound

This paper cites Fast-grasp’d: Dexter- ous multi-finger grasp generation through differentiable simula- tion,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Fast-grasp’d: Dexter- ous multi-finger grasp generation through differentiable simula- tion,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 56aaf2e3-041f-4bc8-93b7-a682844b6f00 · outbound

This paper cites Graingrasp: Dexterous grasp generation with fine-grained contact guidance,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Graingrasp: Dexterous grasp generation with fine-grained contact guidance,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 776dd86d-57cf-43eb-9878-0a639d598001 · outbound

This paper cites SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.522349Z

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Observation f8ea0b3a-0534-44f9-95bc-e52883ba01f5 · outbound

This paper cites FFHFlow: Diverse and uncertainty-aware dexterous grasp generation via flow variational inference,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning FFHFlow: Diverse and uncertainty-aware dexterous grasp generation via flow variational inference,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation cc726cca-ffe6-408d-8f13-395725f96f58 · outbound

This paper cites DexTOG: Learning task-oriented dexterous grasp with language condi- tion,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning DexTOG: Learning task-oriented dexterous grasp with language condi- tion,

Reference 28

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Observation bd56ad26-ca74-43bd-ac54-ba9da2f11178 · outbound

This paper cites AffordDexGrasp: Open-set language-guided dexterous grasp with generalizable-instructive affordance,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning AffordDexGrasp: Open-set language-guided dexterous grasp with generalizable-instructive affordance,

Reference 29

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Observation 58544a95-6c1a-414d-987e-d05f94aea5ec · outbound

This paper cites G- DexGrasp: Generalizable dexterous grasping synthesis via part- aware prior retrieval and prior-assisted generation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning G- DexGrasp: Generalizable dexterous grasping synthesis via part- aware prior retrieval and prior-assisted generation,

Reference 30

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Observation eab1c74a-423c-401e-b22a-9673bf5b3e39 · outbound

This paper cites Graspit! a versatile simulator for robotic grasping,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Graspit! a versatile simulator for robotic grasping,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 60469556-6b19-4bf6-ae05-320cbd53b753 · outbound

This paper cites The columbia grasp database,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning The columbia grasp database,

Reference 32

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Observation db3df8d7-b709-444e-81a5-b2f910471dd8 · outbound

This paper cites The ycb object and model set: Towards common benchmarks for manipulation research,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning The ycb object and model set: Towards common benchmarks for manipulation research,

Reference 33

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Observation 4fbf4628-9d0f-4265-9af6-ac3449e93a30 · outbound

This paper cites Egad! an evolved grasp- ing analysis dataset for diversity and reproducibility in robotic manipulation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Egad! an evolved grasp- ing analysis dataset for diversity and reproducibility in robotic manipulation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 9a1c2fde-9a9d-4e50-b0cc-10b56987cf3e · outbound

This paper cites Deep learning approaches to grasp synthesis: A review,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Deep learning approaches to grasp synthesis: A review,

Reference 35

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Observation 40f4b3a2-2ddb-4aca-a0d7-8a7f24fdf297 · outbound

This paper cites An overview of learning-based dexterous grasping: Recent advances and future directions,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning An overview of learning-based dexterous grasping: Recent advances and future directions,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation dd97d566-3c7d-49f2-ac7a-388412c33711 · outbound

This paper cites Customizable 6 degrees of freedom grasping dataset and an interactive training method for graph convolutional network,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Customizable 6 degrees of freedom grasping dataset and an interactive training method for graph convolutional network,

Reference 37

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Observation d91ff0d5-6214-43bd-a8d4-79cae9917467 · outbound

This paper cites Visual-tactile grasp dataset and grasp margin matrix analysis for stability evaluation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Visual-tactile grasp dataset and grasp margin matrix analysis for stability evaluation,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation fc71af47-c74e-4cef-b969-3cc786173113 · outbound

This paper cites Unigrasp: Learning a unified model to grasp with multifingered robotic hands,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Unigrasp: Learning a unified model to grasp with multifingered robotic hands,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation bb624208-8242-4094-a99f-2c57d4cbccd1 · outbound

This paper cites Gendexgrasp: Generalizable dexterous grasping,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Gendexgrasp: Generalizable dexterous grasping,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation b4853ed9-2b78-409f-a711-ec4eee92d65b · outbound

This paper cites Transferring grasping across grippers: Learning-optimization hybrid framework for generalized planar grasp generation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Transferring grasping across grippers: Learning-optimization hybrid framework for generalized planar grasp generation,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation b2cfa83e-a2b5-4dc5-a796-b1fb6b72855e · outbound

This paper cites T(r, o) grasp: Efficient graph diffusion of robot-object spatial transformation for cross-embodiment dexterous grasping.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning T(r, o) grasp: Efficient graph diffusion of robot-object spatial transformation for cross-embodiment dexterous grasping

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.527953Z

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Observation 4bd66829-5f72-47ed-85a2-f85e32580f54 · outbound

This paper cites Demograsp: Universal dexterous grasping from a single demonstration.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Demograsp: Universal dexterous grasping from a single demonstration

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.536393Z

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Observation 3f6bc349-2b32-43e2-bd2b-5c839f763b82 · outbound

This paper cites Grasp2grasp: 16 Vision-based dexterous grasp translation via schrödinger bridges,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Grasp2grasp: 16 Vision-based dexterous grasp translation via schrödinger bridges,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 03fef159-c4e4-47d0-a0ea-03c51a50198d · outbound

This paper cites Toward dexterous manipulation with augmented adaptive synergies: The pisa/iit softhand 2,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Toward dexterous manipulation with augmented adaptive synergies: The pisa/iit softhand 2,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 4d63a1c2-6a7a-4b11-a906-0d33a38f68dd · outbound

This paper cites Nervenet: Learning structured policy with graph neural networks,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Nervenet: Learning structured policy with graph neural networks,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 641520a5-98f6-4442-a201-b680590efeb0 · outbound

This paper cites Graph-based policy for robot control,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Graph-based policy for robot control,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 1d63984d-5509-4da2-bc31-26d85e79cded · outbound

This paper cites Denoising diffusion probabilistic models,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Denoising diffusion probabilistic models,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 95543bf2-7575-4850-b1d5-c437a2a6420a · outbound

This paper cites Score- based generative modeling through stochastic differential equa- tions,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Score- based generative modeling through stochastic differential equa- tions,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation bd854ecc-d164-40e7-a92f-18e4ef96ea71 · outbound

This paper cites Flow matching for generative modeling,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Flow matching for generative modeling,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 2d110ed0-e8a3-4f48-a277-ae853c908148 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation dc0d76c5-d267-4c49-b80c-8b691702f060 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Building Normalizing Flows with Stochastic Interpolants

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:28:58.524912Z

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Observation 322a6b26-5539-4a4b-a293-9918c0bd1185 · outbound

This paper cites Frog- ger: Fast robust grasp generation via the min-weight metric,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Frog- ger: Fast robust grasp generation via the min-weight metric,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 4d922dbd-ad44-4f58-be5c-44dd2b1a4490 · outbound

This paper cites Grasp as you say: Language- guided dexterous grasp generation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Grasp as you say: Language- guided dexterous grasp generation,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 773417f8-f732-44f1-90c3-a57bccfb25cd · outbound

This paper cites HGDiffuser: Efficient Task-Oriented Grasp Generation via Human-Guided Grasp Diffusion Models.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning HGDiffuser: Efficient Task-Oriented Grasp Generation via Human-Guided Grasp Diffusion Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.539283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82f151c2-f263-47bf-838b-4787c8231e62 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 61a2804a-c952-4748-ae68-79e9f6c0d675 · outbound

This paper cites Synergygrasp: A structure-aware synergy frame- work for multi-hand grasp generation,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Synergygrasp: A structure-aware synergy frame- work for multi-hand grasp generation,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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Observation 9e9bcdeb-055b-42b0-bf7a-14210788e31a · outbound

This paper cites Grasp pose detection in point clouds,.

EAGG: Embodiment-Aligned Grasp Generation via Geometry-Aware Graph Conditioning Grasp pose detection in point clouds,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-27T00:36:27.469424Z

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