AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making | Paper Citation Record

Observation 45199b3e-0170-40a6-bbc6-d428e817f69f · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Flamingo: a visual language model for few-shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022

Reference 1

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Observation e90b2662-f6d1-43e4-b255-88be81a0910b · outbound

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

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Learning transferable visual models from natural language supervision

Reference 2

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Observation a76572f7-59b4-49f5-a18c-98f5025b2ad7 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Scaling up visual and vision-language representation learning with noisy text supervision

Reference 3

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Observation 4ba83d3d-98be-424e-8a83-be2de65f9adf · outbound

This paper cites Zero-shot text-to-image generation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Zero-shot text-to-image generation

Reference 4

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Observation 8edbc6a0-d9e7-4f3f-a35a-387f5a3a0de7 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making PaLM-E: An Embodied Multimodal Language Model

Reference 5

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Observation 6518237b-bf54-4ede-81e0-f66736cc7e99 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 6

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Observation b8a27dc8-e4ae-4833-92ba-aa3a621e239b · outbound

This paper cites GPT-4 Technical Report.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making GPT-4 Technical Report

Reference 7

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Observation c8333fc0-7cb3-41f0-8bf5-79688f81c4bd · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 8

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Observation cbf9ea69-12ff-4097-a862-f5a33c4881ad · outbound

This paper cites Open-vocabulary queryable scene representations for real world planning.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Open-vocabulary queryable scene representations for real world planning

Reference 9

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Observation b638acb7-e6f4-41bc-bb7b-a8ce4b092d30 · outbound

This paper cites Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action

Reference 10

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Observation 1fd7d921-6d8c-46a1-8028-a7e487bca854 · outbound

This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Reference 11

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Observation 0d1561d3-4d7c-4800-a5ac-e1472a3bf328 · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Language models as zero-shot planners: Extracting actionable knowledge for embodied agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:26.062840Z

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Observation d401c5fd-abdf-45e9-9f76-541046427ecf · outbound

This paper cites Code as policies: Language model programs for embodied control.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Code as policies: Language model programs for embodied control

Reference 13

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Observation 3ee45808-8a8d-4e6c-a6c0-1b2f11779223 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:26.264561Z

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Observation f898e174-1805-4323-9a7f-b500b241d761 · outbound

This paper cites PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Reference 15

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Observation f1494ef9-d559-40ea-9c75-588bc06f24d5 · outbound

This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 16

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Observation 7699befe-e1bc-4ead-880f-0e1beb5288f5 · outbound

This paper cites RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation

Reference 17

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Observation 7c29c10a-ade1-4c72-91e6-45a7d04c8a88 · outbound

This paper cites RoboGround: Robotic Manipulation with Grounded Vision-Language Priors.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RoboGround: Robotic Manipulation with Grounded Vision-Language Priors

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Observation ba1a1b09-4043-4a96-8a6a-f2fe481d4284 · outbound

This paper cites Llm-grounder: Open-vocabulary 3d visual grounding with large lan- guage model as an agent.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Llm-grounder: Open-vocabulary 3d visual grounding with large lan- guage model as an agent

Reference 19

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Observation 4a81f21e-71f4-46d6-a2cb-b4dd1f8683bb · outbound

This paper cites SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:26.863014Z

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Observation 0a19d958-9ac3-4651-8fac-421e7d39b69b · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

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Observation e85307f9-bf8d-42ae-aaf8-e44fdc65d69a · outbound

This paper cites SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

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Observation 89ed4db9-1ac1-465e-9632-203f668c3226 · outbound

This paper cites CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:27.167072Z

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Observation 6e20543d-3d2d-4381-8c77-b14dd9b70932 · outbound

This paper cites Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models

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Observation af814dc3-26b1-45ef-83e8-940e705c8bfa · outbound

This paper cites Zero-shot visual reasoning by vision- language models: Benchmarking and analysis.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Zero-shot visual reasoning by vision- language models: Benchmarking and analysis

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Observation 7b350e45-f5a0-40d5-a504-12a5c2a2c2bc · outbound

This paper cites How to enable llm with 3d capacity? a survey of spatial reasoning in llm.arXiv preprint arXiv:2504.05786, 2025.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making How to enable llm with 3d capacity? a survey of spatial reasoning in llm.arXiv preprint arXiv:2504.05786, 2025

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Observation d6bfe043-b776-4725-ac7b-a1fba9f5b982 · outbound

This paper cites Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

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Observation c8499945-4b1d-4d4d-89e3-eaac8adcd815 · outbound

This paper cites LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

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Observation 06b3bc4a-023e-42d1-9676-72c568e0c030 · outbound

This paper cites Agent3d-zero: An agent for zero-shot 3d understanding.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Agent3d-zero: An agent for zero-shot 3d understanding

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Observation c990ba0e-9bf6-41c4-9c72-612f6e2a9d5f · outbound

This paper cites Shapellm: Universal 3d object understanding for embodied interaction.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Shapellm: Universal 3d object understanding for embodied interaction

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Observation d451d68d-d5ea-49c2-ac94-441f12a5004d · outbound

This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

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Observation e5a6f8f5-13d6-4362-af1f-7a0192560783 · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model

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Observation 7764fc4b-8cf7-4717-926f-f3a11a814c8d · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

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Observation 3c265a4b-d4ec-410e-bbe8-c6540ef8450c · outbound

This paper cites Manipvqa: Injecting robotic affordance and physically grounded information into multi-modal large language models.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Manipvqa: Injecting robotic affordance and physically grounded information into multi-modal large language models

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Observation 1ceeb23e-fa10-453e-b8d1-9f5377370db9 · outbound

This paper cites Robovqa: Multimodal long-horizon reasoning for robotics.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Robovqa: Multimodal long-horizon reasoning for robotics

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Observation b4f339b0-0fb5-4577-9c16-10da8048e90a · outbound

This paper cites MQA: Answering the Question via Robotic Manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making MQA: Answering the Question via Robotic Manipulation

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Observation d2251920-b18c-4576-b55b-d1fe88529cf5 · outbound

This paper cites Robotvqa—a scene-graph-and deep-learning-based visual question answering system for robot manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Robotvqa—a scene-graph-and deep-learning-based visual question answering system for robot manipulation

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Observation f7b5ad7a-a19a-4970-88a9-af407adeb473 · outbound

This paper cites A visual questioning answering approach to enhance robot localization in indoor environments.Frontiers in Neurorobotics, 17:1290584, 2023.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A visual questioning answering approach to enhance robot localization in indoor environments.Frontiers in Neurorobotics, 17:1290584, 2023

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Observation 007edbd3-b00c-48af-8651-72a8d2f5f8a5 · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation

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Observation 02853fee-6955-4fdc-a7a1-b06257ea453f · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation

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Observation 883cd5eb-1dda-4aad-99f3-c20eb39e9c0c · outbound

This paper cites Open-world task and motion planning via vision-language model inferred constraints.arXiv preprint arXiv:2411.08253, 2024.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Open-world task and motion planning via vision-language model inferred constraints.arXiv preprint arXiv:2411.08253, 2024

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Observation 5343a5cc-08c4-407a-a1ba-15e190d79ea4 · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

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Observation 4e079adf-50b6-4d9a-8d6b-0816a3c10146 · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RT-1: Robotics Transformer for Real-World Control at Scale

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Observation 38cca183-d0f7-48ce-8f4d-94170850d9d4 · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

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Observation 6508197f-7505-44fb-ab49-954eae7e8b86 · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Scaling proprioceptive-visual learn- ing with heterogeneous pre-trained transformers.Advances in Neural Information Processing Systems, 37:124420–124450, 2024

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Observation cda072aa-ae8e-446f-91f5-afd6562b6005 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

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Observation 56a818c4-2a61-47a4-9e76-3aa21b770964 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

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Observation ba9b3811-0d51-4698-b11e-46816b7ede77 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making OpenVLA: An Open-Source Vision-Language-Action Model

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Observation 960a02d4-e7c6-4bec-8684-ef955625343a · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

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Observation 3c9762e3-034f-4bc4-9d83-b3e51d650d2b · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning

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Observation 0be1e207-5932-42b9-b829-029e1581e81e · outbound

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AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

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Observation 9a508b3a-2b41-4f7d-8f98-022b07172a94 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

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Observation 44cfb571-0f28-4941-8826-e53bf5b252d0 · outbound

This paper cites Manipulate-Anything: Automating Real-World Robots using Vision-Language Models.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Manipulate-Anything: Automating Real-World Robots using Vision-Language Models

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Observation d63ef4ae-4dc7-4a58-9977-ef06d5db41d7 · outbound

This paper cites Skillman—a skill-based robotic manipulation framework based on perception and reasoning.Robotics and Autonomous Systems, 134:103653, 2020.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Skillman—a skill-based robotic manipulation framework based on perception and reasoning.Robotics and Autonomous Systems, 134:103653, 2020

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.718582Z

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Observation 680fdbc5-9dcc-42c6-94f7-1772805f9740 · outbound

This paper cites A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.723051Z

Source-reported events for the cited work

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Observation 3218ec8b-1e33-4470-9fbc-28ae5e08c84a · outbound

This paper cites Sofar: Language-grounded orientation bridges spatial reasoning and object manipulation.arXiv preprint arXiv:2502.13143, 2025.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Sofar: Language-grounded orientation bridges spatial reasoning and object manipulation.arXiv preprint arXiv:2502.13143, 2025

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.727266Z

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Observation 0dc6f32f-0d3d-46c8-a402-d3623c0da8b5 · outbound

This paper cites GeoManip: Geometric Constraints as General Interfaces for Robot Manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making GeoManip: Geometric Constraints as General Interfaces for Robot Manipulation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.731232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3423f687-670e-46b2-9fb0-066bba60553d · outbound

This paper cites KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.734890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2bcb92-9f27-4b04-b0d1-e5669a48fce2 · outbound

This paper cites RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.738813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8c1c21-aa6f-476c-9a6d-610b252029e3 · outbound

This paper cites RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.743022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ef6282-fc0d-4948-b435-6dd960cd8532 · outbound

This paper cites Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.746981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff4c716f-cc6d-4892-9889-7aff6367eb9d · outbound

This paper cites Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.750649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 202612d6-a7d4-44a6-bd43-0bc2841f8da3 · outbound

This paper cites Rl-vigen: A reinforcement learning benchmark for visual generalization.Advances in Neural Information Processing Systems, 36:6720–6747, 2023.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Rl-vigen: A reinforcement learning benchmark for visual generalization.Advances in Neural Information Processing Systems, 36:6720–6747, 2023

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.754394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81530520-73f9-46c8-91f4-6b365c713e3a · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.757961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496335a6-57fe-43fc-b268-e855daf8b95b · outbound

This paper cites Efficient real2sim2real of continuum robots using deep reinforcement learning with koopman operator.IEEE Transactions on Industrial Electronics, 2025.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Efficient real2sim2real of continuum robots using deep reinforcement learning with koopman operator.IEEE Transactions on Industrial Electronics, 2025

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.761706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffbbd005-5e6d-4c1a-a83c-00dca03b16e1 · outbound

This paper cites Real-time per- ception meets reactive motion generation.IEEE Robotics and Automation Letters, 3(3):1864– 1871, 2018.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Real-time per- ception meets reactive motion generation.IEEE Robotics and Automation Letters, 3(3):1864– 1871, 2018

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.765399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3f35635-23cf-4e22-9e02-b007767edf48 · outbound

This paper cites You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.768816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f574453c-c930-4e62-9c01-d6bda8e08740 · outbound

This paper cites One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.773481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adbc6daf-938c-4315-bfd0-5d33f89eb69c · outbound

This paper cites Sparp: Fast 3d object reconstruction and pose estimation from sparse views.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Sparp: Fast 3d object reconstruction and pose estimation from sparse views

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.777217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a35b8401-4e81-4ef2-bf10-f1589bf1bded · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.780816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc0a08ef-866b-441d-8562-1e5ae190eb2a · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Zero-1-to-3: Zero-shot one image to 3d object

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.784567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4dcf57-55e1-491d-864f-80c272ffa6e7 · outbound

This paper cites Get3d: A generative model of high quality 3d textured shapes learned from images.Advances In Neural Information Processing Systems, 35:31841–31854, 2022.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Get3d: A generative model of high quality 3d textured shapes learned from images.Advances In Neural Information Processing Systems, 35:31841–31854, 2022

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.788055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48bc8d56-a630-4be9-957c-79ecffa15e31 · outbound

This paper cites A-sdf: Learning disentangled signed distance functions for articulated shape represen- tation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A-sdf: Learning disentangled signed distance functions for articulated shape represen- tation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.791944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7580dbdc-6cdc-4ed1-9099-4bee1a27c0e8 · outbound

This paper cites Ditto: Building digital twins of articulated objects from interaction.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Ditto: Building digital twins of articulated objects from interaction

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.796122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0071f9-0ff6-4537-83a7-1eb67104ae13 · outbound

This paper cites Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.799748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c419f85c-0346-4210-87fb-e8a8ed36e284 · outbound

This paper cites URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.803567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20fce2ed-0716-448f-a67f-d57b6c645845 · outbound

This paper cites Paris: Part-level reconstruction and motion analysis for articulated objects.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Paris: Part-level reconstruction and motion analysis for articulated objects

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.807593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 495fe785-5f7c-426a-92ef-5734e6c41c7b · outbound

This paper cites Cage: controllable articulation generation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Cage: controllable articulation generation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.811629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fcd9752-97bc-425d-ad36-2a43b6db519d · outbound

This paper cites Sam-6d: Segment anything model meets zero-shot 6d object pose estimation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Sam-6d: Segment anything model meets zero-shot 6d object pose estimation

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.816117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a5fc99-2b26-40a1-876d-f1d74922802f · outbound

This paper cites Gigapose: Fast and robust novel object pose estimation via one correspondence.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Gigapose: Fast and robust novel object pose estimation via one correspondence

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.819976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c38baffb-291d-483c-bcbb-d7590ebed77e · outbound

This paper cites Any6D: Model-free 6D Pose Estimation of Novel Objects.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Any6D: Model-free 6D Pose Estimation of Novel Objects

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.823718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8d1f3f-b4e2-4abb-9faa-061c4988e054 · outbound

This paper cites Foundationpose: Unified 6d pose estimation and tracking of novel objects.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Foundationpose: Unified 6d pose estimation and tracking of novel objects

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.827851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef06b616-a511-492c-a899-22c81d92154f · outbound

This paper cites Foundpose: Unseen object pose estimation with foundation features.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Foundpose: Unseen object pose estimation with foundation features

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.831798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175bfc2c-8433-43e3-80fc-0818e56a3ebf · outbound

This paper cites A comprehensive survey on point cloud registration.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A comprehensive survey on point cloud registration

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.836289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a7666d-48b9-4c6c-a827-03d561bd4fd3 · outbound

This paper cites Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.840574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b60822b-1233-45b1-a150-d639ee99a26c · outbound

This paper cites A tutorial review on point cloud registrations: principle, classification, comparison, and technology challenges.Mathematical Problems in Engineering, 2021(1):9953910, 2021.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A tutorial review on point cloud registrations: principle, classification, comparison, and technology challenges.Mathematical Problems in Engineering, 2021(1):9953910, 2021

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.844471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad01dc7-36e0-4509-a66b-54ff429948b6 · outbound

This paper cites A comprehensive survey of visual slam algorithms.Robotics, 11(1):24, 2022.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A comprehensive survey of visual slam algorithms.Robotics, 11(1):24, 2022

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.848687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a42648-e64e-4826-9f97-f59431350a19 · outbound

This paper cites How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.852481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c6e1a5-f68c-4fa6-832e-18218550afdc · outbound

This paper cites A survey on active simultaneous localization and mapping: State of the art and new frontiers.IEEE Transactions on Robotics, 39(3):1686–1705, 2023.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A survey on active simultaneous localization and mapping: State of the art and new frontiers.IEEE Transactions on Robotics, 39(3):1686–1705, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.856398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 533d08e4-5d2e-4e78-ad27-85348be21404 · outbound

This paper cites Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.859946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6072d7-adf1-4bd5-a78c-54b04a71c4d0 · outbound

This paper cites PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.863672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daec14fd-34fd-4737-8cad-94abc14cff19 · outbound

This paper cites Sim2real 2: Actively building explicit physics model for precise articulated object manipulation.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Sim2real 2: Actively building explicit physics model for precise articulated object manipulation

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de7bba1a-3309-4736-8a1a-7dda6b800c41 · outbound

This paper cites A real2sim2real method for robust object grasping with neural surface reconstruction.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making A real2sim2real method for robust object grasping with neural surface reconstruction

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.870998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42e82ff-3951-4d4f-ae39-dffb6af3f622 · outbound

This paper cites SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.874470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f01ede5d-9fa8-446c-bdc7-6d8f221cebb1 · outbound

This paper cites Pointllm: Empowering large language models to understand point clouds.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Pointllm: Empowering large language models to understand point clouds

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.878448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a181ef1d-f192-48db-ae2a-fa10fe1ae6ef · outbound

This paper cites Point-nerf: Point-based neural radiance fields.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Point-nerf: Point-based neural radiance fields

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.882105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7441fc-37c6-4163-94d6-9fcbeddb9643 · outbound

This paper cites Pointclip: Point cloud understanding by clip.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Pointclip: Point cloud understanding by clip

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.885459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61384a05-d953-4a85-8b61-2d7e14236333 · outbound

This paper cites Text2nerf: Text-driven 3d scene generation with neural radiance fields.IEEE Transactions on Visualization and Computer Graphics, 30(12):7749–7762, 2024.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Text2nerf: Text-driven 3d scene generation with neural radiance fields.IEEE Transactions on Visualization and Computer Graphics, 30(12):7749–7762, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.889110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6086479a-47b4-4b7c-9399-15e7e233b747 · outbound

This paper cites Pointr: Diverse point cloud completion with geometry-aware transformers.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Pointr: Diverse point cloud completion with geometry-aware transformers

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.893362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 613b9ae0-f12c-4977-9baa-8f78b495a719 · outbound

This paper cites V oxel set transformer: A set-to-set approach to 3d object detection from point clouds.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making V oxel set transformer: A set-to-set approach to 3d object detection from point clouds

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:29.897079Z

Source-reported events for the cited work

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