HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone | Paper Citation Record

Observation 147f4e00-5f78-40f2-89ff-928413c31031 · outbound

This paper cites RT-1: Robotics transformer for real-world control at scale.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone RT-1: Robotics transformer for real-world control at scale

Reference 1

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Observation 2e53a6d7-d331-4f09-b78f-87b7c1bca915 · outbound

This paper cites BridgeData V2: A Dataset for Robot Learning at Scale.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone BridgeData V2: A Dataset for Robot Learning at Scale

Reference 2

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Observation ff3adf4c-4839-42e8-9da1-d0a358e67b63 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 3

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Observation 868d0f32-df5c-46bc-a100-c44df49e1443 · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 4

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Observation 2e669a11-8af6-47c7-be3c-66313ca7aee6 · outbound

This paper cites RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 5

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Observation 6a673843-423f-47d1-8ca4-7b4c690c5fa3 · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 6

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Observation 0065c2d7-f858-452b-9cdc-f6af0a9b9a7b · outbound

This paper cites FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset

Reference 7

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Observation f5273232-f96a-4635-a2e9-1e2fb399d211 · outbound

This paper cites Data Scaling Laws in Imitation Learning for Robotic Manipulation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Data Scaling Laws in Imitation Learning for Robotic Manipulation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.863974Z

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Observation defe2762-7122-4579-a349-712df11df18b · outbound

This paper cites AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.866868Z

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Observation 38b77d06-c153-4515-89e5-cbf42d0088f1 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.870173Z

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Observation 1ee8d4e8-cd52-4cc4-9390-7f454d0ecc91 · outbound

This paper cites H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.873690Z

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Observation dcc07222-1174-4731-97f2-5d0ee71b9681 · outbound

This paper cites John, et al.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone John, et al

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.876478Z

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Observation a30d030d-8c85-4b7b-9df7-40e800deffa6 · outbound

This paper cites XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.878525Z

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Observation d5d3449a-cd41-4454-a54f-7c5a59611904 · outbound

This paper cites RDT2: Exploring the scaling limit of UMI data towards zero-shot cross-embodiment generalization.arXiv preprint arXiv:2602.03310, 2026.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone RDT2: Exploring the scaling limit of UMI data towards zero-shot cross-embodiment generalization.arXiv preprint arXiv:2602.03310, 2026

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.881171Z

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Observation a424e8c8-f4dd-450d-b2af-3278cbff3aa0 · outbound

This paper cites RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.883647Z

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Observation 978c0a20-2697-4f79-b889-5d8d981413a3 · outbound

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

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.886373Z

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Observation 9aa15162-6e2c-4724-a890-8a2645afcbad · outbound

This paper cites RoboMIND 2.0: A multimodal, bimanual mobile manipulation dataset for generalizable embodied intelligence.arXiv preprint arXiv:2512.24653, 2025.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone RoboMIND 2.0: A multimodal, bimanual mobile manipulation dataset for generalizable embodied intelligence.arXiv preprint arXiv:2512.24653, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.888913Z

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Observation d44abac6-5073-4d1a-961e-d191ede4d4ef · outbound

This paper cites Ego4D: Around the World in 3,000 Hours of Egocentric Video.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Ego4D: Around the World in 3,000 Hours of Egocentric Video

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.890816Z

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Observation d0dddefd-ac1e-4f22-8201-0c093845a150 · outbound

This paper cites Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.893849Z

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Observation 7c36d10b-e489-4729-82f4-79904937a768 · outbound

This paper cites EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 20

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Observation 9413fe39-8258-4e23-914b-831abc79836c · outbound

This paper cites FastUMI-100K: Advancing data-driven robotic manipulation with a large-scale UMI-style dataset.arXiv preprint arXiv:2510.08022, 2025.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone FastUMI-100K: Advancing data-driven robotic manipulation with a large-scale UMI-style dataset.arXiv preprint arXiv:2510.08022, 2025

Reference 21

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Observation bf8f3ca5-a8cd-4e1e-8ba6-d69d3fdf730a · outbound

This paper cites VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.902567Z

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Observation b8585936-bad7-4706-8088-9af61977cd07 · outbound

This paper cites DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.904750Z

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Observation d193376a-1e00-4fe0-93b3-545ef6bb2a9e · outbound

This paper cites DexUMI: Using human hand as the universal manipulation interface for dexterous manipulation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone DexUMI: Using human hand as the universal manipulation interface for dexterous manipulation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.906926Z

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Observation 96b24f2b-8238-4b2a-949e-addd6878a1cb · outbound

This paper cites DexWild: Dexterous human interactions for in-the-wild robot policies.Robotics: Science and Systems (RSS), 2025.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone DexWild: Dexterous human interactions for in-the-wild robot policies.Robotics: Science and Systems (RSS), 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.909567Z

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Observation a65d6843-15a8-4548-9b56-3878c77c3b24 · outbound

This paper cites ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.911830Z

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Observation 49a4a3bb-e427-46a3-8ce8-4eae216f2871 · outbound

This paper cites AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.914989Z

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Observation 5815b737-2195-4193-96c6-cae032e081e4 · outbound

This paper cites EgoMimic: Scaling Imitation Learning via Egocentric Video.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone EgoMimic: Scaling Imitation Learning via Egocentric Video

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.917085Z

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Observation 30ddacf8-d7ee-4b88-879c-c965b75954f4 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.920021Z

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Observation 38f3699b-b102-45f2-b4cd-aeb40d907186 · outbound

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

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone OpenVLA: An Open-Source Vision-Language-Action Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.922128Z

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Observation d9baf7a6-d52e-4c69-817e-dd3f3be8db15 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Octo: An Open-Source Generalist Robot Policy

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.924123Z

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Observation e74a2ee7-6405-4057-9062-26a35cb849ec · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.926972Z

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Observation 67144df1-0593-4214-b1ea-cc967f0a7428 · outbound

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

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.930670Z

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Observation 5ae5ab42-a1ff-483c-9906-505517c03b38 · outbound

This paper cites GR-3 Technical Report.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone GR-3 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.933554Z

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Observation 56b39639-8319-445a-a65c-14ad0020a69c · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Gemini Robotics: Bringing AI into the Physical World

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.936121Z

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Observation 088e8c96-af70-488b-a483-af6c0433a75e · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.939059Z

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Observation ed28d275-4394-45f9-acf0-12b20f40b23e · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.941316Z

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Observation d7ad9593-b41a-4079-a6ee-15b382734c49 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.943496Z

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Observation 59b63377-e4f4-4349-a74c-a63399492d06 · outbound

This paper cites A Pragmatic VLA Foundation Model.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone A Pragmatic VLA Foundation Model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.945870Z

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Observation 25f985fe-dfa6-4f5e-a05d-30e2e6cbfdda · outbound

This paper cites Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.948972Z

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Observation 6b6e4223-43cf-4315-afdc-a7dad6cc1d00 · outbound

This paper cites Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.952361Z

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Observation 4adee39c-a9a6-4fec-b7e9-f6ac4c13d4e5 · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.955936Z

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Observation e25a7d0b-8ea0-4e5f-aa72-88f322eec3c9 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.959147Z

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Observation b9d5f229-40a8-4cdc-bfc8-0a0827f763b4 · outbound

This paper cites Learning Universal Policies via Text-Guided Video Generation.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Learning Universal Policies via Text-Guided Video Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.962162Z

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Observation 516c59fd-800a-454f-99fc-d29546754d0c · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.964827Z

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Observation 1d799c39-a199-4718-ad51-e6ac0467de3d · outbound

This paper cites World Action Models are Zero-shot Policies.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone World Action Models are Zero-shot Policies

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.967585Z

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Observation 2074a2cd-9842-45f5-aee4-a4097fe86891 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone WorldVLA: Towards Autoregressive Action World Model

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.970203Z

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Observation ce9ae302-c28f-4fed-9c54-524a75b79db7 · outbound

This paper cites Causal World Modeling for Robot Control.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Causal World Modeling for Robot Control

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.972214Z

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Observation 591bb4ff-12c0-45ac-a384-9244297150fb · outbound

This paper cites StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.974934Z

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Observation b1a134b5-f62d-4f1b-87be-fdca0542261d · outbound

This paper cites VINS-Mono: A robust and versatile monocular visual-inertial state estimator.IEEE Transactions on Robotics, 34(4):1004–1020, 2018.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone VINS-Mono: A robust and versatile monocular visual-inertial state estimator.IEEE Transactions on Robotics, 34(4):1004–1020, 2018

Reference 50

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Observation bad92038-1fbc-4068-b969-0084137e6691 · outbound

This paper cites ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.980726Z

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Observation 978a7d91-8f86-4280-9bec-a485e9d31743 · outbound

This paper cites AprilTag: A robust and flexible visual fiducial system.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone AprilTag: A robust and flexible visual fiducial system

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.982863Z

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Unavailable: canonical work link unavailable.

Observation c96a28f6-be8b-4d46-a199-b9c6abd122d2 · outbound

This paper cites VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.985215Z

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Observation bb3d007a-cdcd-497f-839c-527d7b23d054 · outbound

This paper cites DAS Fingers: A high-precision multimodal data-collection device for embodied AI.https: //www.genrobot.ai/products/finger, 2025.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone DAS Fingers: A high-precision multimodal data-collection device for embodied AI.https: //www.genrobot.ai/products/finger, 2025

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.988427Z

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Observation 69bf5fc2-54fc-4e38-b605-466084a04a76 · outbound

This paper cites TacUMI: A multi-modal universal manipulation interface for contact-rich tasks.arXiv preprint arXiv:2601.14550, 2026.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone TacUMI: A multi-modal universal manipulation interface for contact-rich tasks.arXiv preprint arXiv:2601.14550, 2026

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.990542Z

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Observation 236f8bf4-e2f2-4ba5-b28f-559660614910 · outbound

This paper cites DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.992313Z

Source-reported events for the cited work

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Observation 275e6924-0abc-4817-9e5c-89193e7a18b6 · outbound

This paper cites UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.995654Z

Source-reported events for the cited work

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Observation 0fa8150c-ae49-4866-aade-f4a9675ddd5b · outbound

This paper cites RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone RoboVQA: Multimodal Long-Horizon Reasoning for Robotics

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.999020Z

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Observation 0a6cd157-ec62-4e7e-8ecb-e1199db56ee6 · outbound

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

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone On the Continuity of Rotation Representations in Neural Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.001712Z

Source-reported events for the cited work

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Observation 019fd61b-3910-4cf0-bd06-0edade591ee3 · outbound

This paper cites Qwen3 Technical Report.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Qwen3 Technical Report

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.003800Z

Source-reported events for the cited work

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Observation 2bb3b13f-53a2-4b4f-9d87-c30234145da6 · outbound

This paper cites Flow Matching for Generative Modeling.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Flow Matching for Generative Modeling

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.006939Z

Source-reported events for the cited work

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Observation db7e7c52-4076-4a3f-b2be-538915c83d31 · outbound

This paper cites Scalable Diffusion Models with Transformers.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Scalable Diffusion Models with Transformers

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.009966Z

Source-reported events for the cited work

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Observation 30ae9065-0513-4b23-a167-08b6ce834775 · outbound

This paper cites Zhao, Vikash Kumar, Sergey Levine, et al.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Zhao, Vikash Kumar, Sergey Levine, et al

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.012207Z

Source-reported events for the cited work

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Observation 641e5e1c-f00f-493e-91a4-37ace503c0a7 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Diffusion policy: Visuomotor policy learning via action diffusion

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.014056Z

Source-reported events for the cited work

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Observation 97b636d6-5d0e-4eda-b94e-1f510350e181 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone PaliGemma: A versatile 3B VLM for transfer

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.016418Z

Source-reported events for the cited work

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Observation 5bd9ee1d-28fa-4af5-aac0-a1fe9e9839f4 · outbound

This paper cites Decoupled Weight Decay Regularization.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Decoupled Weight Decay Regularization

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.019104Z

Source-reported events for the cited work

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Observation 146e38cd-4f6b-4456-8ee0-bef8b44e30e5 · outbound

This paper cites A careful examination of large behavior models for multitask dexterous manipulation.Science Robotics, 11(113):eaea6201, 2026.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone A careful examination of large behavior models for multitask dexterous manipulation.Science Robotics, 11(113):eaea6201, 2026

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:08.021366Z

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