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Paper Citation Record · LEDGER

Efficient Sensorimotor Learning for Open-world Robot Manipulation

As of 16 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2505.06136.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.06136 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:51.631194Z

measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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100 of 300 outbound references displayed

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Outbound references

Observation 22e4d8e9-d00c-4c32-bf56-2114dc72392a · outbound

This paper cites https://en.wikipedia.org/wiki/Unimate, 2024.

Efficient Sensorimotor Learning for Open-world Robot Manipulation https://en.wikipedia.org/wiki/Unimate, 2024

Reference 1

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Observation 7beb4844-4362-44fe-992f-f86be155b8a9 · outbound

This paper cites https://en.wikipedia.org/wiki/ENIAC, 2024.

Efficient Sensorimotor Learning for Open-world Robot Manipulation https://en.wikipedia.org/wiki/ENIAC, 2024

Reference 2

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Observation d4299633-e6fb-4f94-aadd-271aa62725d6 · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 3

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Observation eed196db-899f-41cc-8d24-9c2cb12d97a6 · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation Code as policies: Language model programs for embodied control

Reference 4

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Observation f986451d-002c-4290-962f-fde360a35915 · outbound

This paper cites MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting.

Efficient Sensorimotor Learning for Open-world Robot Manipulation MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting

Reference 5

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Observation 1f9fd103-4eba-4333-8dca-36bfa5ca5c4f · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Reference 6

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Observation 25ead38b-7042-4cc0-b217-d745a0112781 · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 7

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Observation e3840e36-0b8e-400c-8c61-3ae15f0e0286 · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 8

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Observation 99a6e60c-df52-424d-8a8a-e080c9869fb4 · outbound

This paper cites Event structure in perception and concep- tion.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Event structure in perception and concep- tion

Reference 9

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Observation b47851a0-3144-4bcb-ad55-f4551a35427b · outbound

This paper cites On the Binding Problem in Artificial Neural Networks.

Efficient Sensorimotor Learning for Open-world Robot Manipulation On the Binding Problem in Artificial Neural Networks

Reference 10

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Observation 0d849a91-7655-4b27-b165-64238192029d · outbound

This paper cites Building machines that learn and think like people.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Building machines that learn and think like people

Reference 11

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Observation 526155ae-d2c1-403e-bb55-398b0b9ecbea · outbound

This paper cites Core knowledge.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Core knowledge

Reference 12

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Observation 49df0b3a-1178-4c5f-8be9-d144a264d602 · outbound

This paper cites Motion perception and the scene statistics of motion.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Motion perception and the scene statistics of motion

Reference 13

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Observation 97bc2ce5-86ef-4e06-b2cb-801ecc6b57b4 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Efficient Sensorimotor Learning for Open-world Robot Manipulation On the Opportunities and Risks of Foundation Models

Reference 14

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Observation 943bf235-3438-4110-bd96-3e788fc32b7c · outbound

This paper cites Training language models to follow instructions with human feedback.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Training language models to follow instructions with human feedback

Reference 15

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Observation d0e4c3c1-88d6-4fb5-8e7f-dffaa48d8e0b · outbound

This paper cites Segment Anything.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Segment Anything

Reference 16

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Observation 55daa0ce-6094-43e1-8b87-7b23ad411271 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Efficient Sensorimotor Learning for Open-world Robot Manipulation DINOv2: Learning Robust Visual Features without Supervision

Reference 17

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Observation 6b13dee7-e071-43b0-a269-c2384b65342f · outbound

This paper cites Markov decision processes.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Markov decision processes

Reference 18

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Observation f2ed3437-866e-4e50-acdb-c6d29594c9d4 · outbound

This paper cites Gti: Learning to generalize across long-horizon tasks from human demon- strations.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Gti: Learning to generalize across long-horizon tasks from human demon- strations

Reference 19

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Observation 059d46c1-f82f-44ac-949e-47c1d73275fe · outbound

This paper cites Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control

Reference 20

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Observation b40c071f-e38a-40fb-9726-53d625e62f7b · outbound

This paper cites Contextual Markov Decision Processes.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Contextual Markov Decision Processes

Reference 21

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Observation 8c7e3bef-61dd-4269-b0e3-9a64c8ce812f · outbound

This paper cites Mutex: Learning unified policies from multimodal task specifications.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Mutex: Learning unified policies from multimodal task specifications

Reference 22

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Observation 644840af-bde8-405a-92ae-8cf683668f2e · outbound

This paper cites Gradient episodic memory for con- tinual learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Gradient episodic memory for con- tinual learning

Reference 23

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Observation f6e794c4-9029-4ea1-a86a-5a2f9bbebe84 · outbound

This paper cites Don't forget, there is more than forgetting: new metrics for Continual Learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Don't forget, there is more than forgetting: new metrics for Continual Learning

Reference 24

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Observation 749e3a82-c992-4603-82ba-c17191847885 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 25

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Observation 2bda0b3a-4b9d-4162-9ea0-324b1c4f043f · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Overcoming catastrophic forgetting in neural networks

Reference 26

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Observation c5a1d41e-0483-4fec-a055-fc307fbde84f · outbound

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Efficient Sensorimotor Learning for Open-world Robot Manipulation Continual Learning and Catastrophic Forgetting

Reference 27

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Observation dd9a6a5a-e985-441f-b471-150bb4f5964b · outbound

This paper cites Deep recurrent q-learning for partially observable mdps.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Deep recurrent q-learning for partially observable mdps

Reference 28

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Efficient Sensorimotor Learning for Open-world Robot Manipulation Gaussian mixture models

Reference 29

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Observation 418e4526-2a44-40bd-80ce-30a45a8ea8a1 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 30

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Observation d6dd4394-4e70-4197-acc5-e284703e97c1 · outbound

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Efficient Sensorimotor Learning for Open-world Robot Manipulation Hierarchical imitation and reinforcement learning

Reference 31

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Observation 9638524c-8e1b-4bcb-94db-7bfada2fa92f · outbound

This paper cites Factor graphs for robot perception.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Factor graphs for robot perception

Reference 32

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Observation 73b86799-c76d-45ee-b496-f0aac61ed317 · outbound

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Efficient Sensorimotor Learning for Open-world Robot Manipulation Imagenet: A large-scale hierarchical image database

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Observation 6dcab12d-74fa-4f64-9fc8-6d8a9703c616 · outbound

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Efficient Sensorimotor Learning for Open-world Robot Manipulation Processing of representations in declarative and procedural working memory

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Observation 06b56562-6709-40f0-bb4c-346c8c932e5b · outbound

This paper cites A unified approach for motion and force control of robot ma- nipulators: The operational space formulation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation A unified approach for motion and force control of robot ma- nipulators: The operational space formulation

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Observation e53834b6-94e8-494a-bad8-99420ff399e3 · outbound

This paper cites Pink: Python inverse kinematics based on Pinocchio, 2024.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Pink: Python inverse kinematics based on Pinocchio, 2024

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Observation 0c15e775-104b-400a-99c3-62d4b57291e7 · outbound

This paper cites Mink: Python inverse kinematics based on MuJoCo, July 2024.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Mink: Python inverse kinematics based on MuJoCo, July 2024

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Observation 5c4b8f69-468e-4a2e-af8b-1315295c83be · outbound

This paper cites Deoxys: A modular, real-time controller library for robot learn- ing.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Deoxys: A modular, real-time controller library for robot learn- ing

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source=pdf_text observed=2026-08-15T23:27:51.400778Z digest=sha256:10b9db16f20f8ac8336b92e7115b54890a5d7bad65b5cdcb00a0646193ab20e8

Observation d5ebe0ad-5d6b-4e28-9078-e6f16d7ffc93 · outbound

This paper cites Iris: Implicit reinforcement without interaction at scale for learning control from offline robot manipulation data.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Iris: Implicit reinforcement without interaction at scale for learning control from offline robot manipulation data

Reference 39

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Observation 952a6ff3-b809-40bc-a42b-1df4a0694f46 · outbound

This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Deep imitation learning for complex manipulation tasks from virtual reality teleoperation

Reference 40

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Observation 390a3496-7c39-4947-b41f-8afe5299f596 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation A reduction of imitation learning and structured prediction to no-regret online learning

Reference 41

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Observation 0ade4e88-c3e5-4a40-a6d0-ce2a784c8ff2 · outbound

This paper cites Object-aware regularization for addressing causal confusion in imitation learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Object-aware regularization for addressing causal confusion in imitation learning

Reference 42

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Observation 5194faca-a373-4916-8f43-686d3ec89a2c · outbound

This paper cites Causal confusion in imita- tion learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Causal confusion in imita- tion learning

Reference 43

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Observation 2ed014be-00b1-41ab-aa3d-a4f47e307e30 · outbound

This paper cites Fight- ing copycat agents in behavioral cloning from observation histories.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Fight- ing copycat agents in behavioral cloning from observation histories

Reference 44

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Observation ed31d470-d2a9-4c8c-a37e-6a99cade6f2c · outbound

This paper cites Exploring the limitations of behavior cloning for autonomous driving.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Exploring the limitations of behavior cloning for autonomous driving

Reference 45

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Observation a80e7748-f07e-49d1-b5f8-f5c4da8ce755 · outbound

This paper cites Query-Efficient Imitation Learning for End-to-End Autonomous Driving.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Query-Efficient Imitation Learning for End-to-End Autonomous Driving

Reference 46

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Observation db09bacd-b4c6-4f33-939e-5541d87ee947 · outbound

This paper cites Imitation Learning via Off-Policy Distribution Matching.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Imitation Learning via Off-Policy Distribution Matching

Reference 47

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Observation 96847a69-7eb8-4d3f-b9aa-1d88594481e8 · outbound

This paper cites Self-supervised correspon- dence in visuomotor policy learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Self-supervised correspon- dence in visuomotor policy learning

Reference 48

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Observation 25363826-02f1-4392-bcf3-77b72f6af1c3 · outbound

This paper cites Graph-structured visual imitation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Graph-structured visual imitation

Reference 49

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source=pdf_text observed=2026-08-15T23:27:51.440998Z digest=sha256:07efdb54d4a0a510b647797ecd901aeb0d521f67ee6d92931b417b0733a3faf2

Observation b31114ff-8eab-448b-8a71-b718b795f8b0 · outbound

This paper cites Mask r-cnn.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Mask r-cnn

Reference 50

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Observation 6e0bf21b-ec86-4a45-98a3-a8f95de6c51b · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 51

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Observation 56267009-95f4-4803-a163-1e32aeb97dc0 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Cascade r-cnn: Delving into high quality object detection

Reference 52

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Observation b897edd5-2267-4ad7-8a19-4e0d45a45ba3 · outbound

This paper cites Objects as Points.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Objects as Points

Reference 53

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source=pdf_text observed=2026-08-15T23:27:51.455678Z digest=sha256:b7c12a28a4ad4e4afcb2faeed35d86864d999506a99c6b0b65bced3eb9d56fc9

Observation 96454721-a084-4e88-a350-f6dde7d0cd2a · outbound

This paper cites Detecting Twenty-thousand Classes using Image-level Supervision.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Detecting Twenty-thousand Classes using Image-level Supervision

Reference 54

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Observation aeb7670b-e187-4f39-8515-7bce748a37d1 · outbound

This paper cites VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors.

Efficient Sensorimotor Learning for Open-world Robot Manipulation VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors

Reference 55

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source=pdf_text observed=2026-08-15T23:27:51.463472Z digest=sha256:df2d1fa7e213aa14697c32947aa52d3d1e6209826611cdfedd83db3fdc7dbf48

Observation e0bac059-ac95-43bc-93b4-e75aa582911e · outbound

This paper cites Attention is all you need.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Attention is all you need

Reference 56

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source=pdf_text observed=2026-08-15T23:27:51.467608Z digest=sha256:33384fb3ca431c5e3f22aa8b383b75e8a9df56b336498fc5b428ba657a05d102

Observation 08c8fac7-b6b8-454c-afe9-932eb05360fd · outbound

This paper cites Deep residual learning for image recognition.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Deep residual learning for image recognition

Reference 57

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source=pdf_text observed=2026-08-15T23:27:51.470996Z digest=sha256:c53f1bdaae14a6a4086cbfbd45f313032738b9434396eeb37fb7f7feea10a065

Observation 7eae83fc-651e-403e-aeec-fe9e4ed7e296 · outbound

This paper cites End-to-end training of deep visuomotor policies.

Efficient Sensorimotor Learning for Open-world Robot Manipulation End-to-end training of deep visuomotor policies

Reference 58

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source=pdf_text observed=2026-08-15T23:27:51.474720Z digest=sha256:61d18ff8c98618ea528b0b8829acc7af489ed3c96f5f5b1a9be49d96198a648c

Observation 86f62457-785b-4248-aaa0-acf9a87a1464 · outbound

This paper cites Layer Normalization.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Layer Normalization

Reference 59

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source=pdf_text observed=2026-08-15T23:27:51.478043Z digest=sha256:45b289dc46530a77464b28f04a22cda66fdf7e5b7817633a2506d889c5d9b9cd

Observation 73ecc9db-23bd-4160-b8f9-de5501d31223 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Efficient Sensorimotor Learning for Open-world Robot Manipulation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 60

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source=pdf_text observed=2026-08-15T23:27:51.482064Z digest=sha256:19cc7de3975ff9c7884fffbe2c4f209e6492894a95dbc6602d20a369bcff605a

Observation d8a9d3b2-86af-43e5-a2b0-0cfe5229af46 · outbound

This paper cites Image augmentation is all you need: Regularizing deep reinforcement learning from pixels.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Image augmentation is all you need: Regularizing deep reinforcement learning from pixels

Reference 61

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Observation c28e9b22-1683-44ea-a4c0-297150eaa389 · outbound

This paper cites Critic regularized regression.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Critic regularized regression

Reference 62

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source=pdf_text observed=2026-08-15T23:27:51.489416Z digest=sha256:13b47ad5a1052ea346be60af555f5b0f584f2cf69dfa3f74e4f5aa745b5f6f8e

Observation 095cbd57-f2a2-4382-a735-0b0b44637dfe · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 63

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source=pdf_text observed=2026-08-15T23:27:51.492682Z digest=sha256:815c47d8831c5200be20095b2f03fc48972d80b431ca9404ca2a9049a1d10167

Observation f9dd5bda-ba42-4b6b-8c04-673a131d1a99 · outbound

This paper cites Bag of tricks for image classification with convolutional neural networks.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Bag of tricks for image classification with convolutional neural networks

Reference 64

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source=pdf_text observed=2026-08-15T23:27:51.496471Z digest=sha256:6afce16435c315172bb93cbfa90f4d9eda6e770d40577dd2757bc104b9f4fe79

Observation 9a5093e8-e933-490a-92b1-aee65daa08ee · outbound

This paper cites Look closer: Bridging egocentric and third-person views with transformers for robotic manipulation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Look closer: Bridging egocentric and third-person views with transformers for robotic manipulation

Reference 65

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source=pdf_text observed=2026-08-15T23:27:51.500009Z digest=sha256:c2a51faa6d7087ec93287517c722698c9d7cfc2c296f4b57d2027c27adeca8a2

Observation 1e1be298-8641-46a0-8a34-29ccd8f62bfb · outbound

This paper cites Neural discrete representation learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Neural discrete representation learning

Reference 66

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Observation f92fa6fb-59a6-445a-9a65-65654dba0b09 · outbound

This paper cites Learning to Play by Imitating Humans.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Learning to Play by Imitating Humans

Reference 67

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source=pdf_text observed=2026-08-15T23:27:51.507158Z digest=sha256:6ac9ddd44fb7782f5b4c194fc9751656ca753db46dca484af2f13144dce6fb39

Observation 06368cdb-5bdb-4c5f-ade5-db3294b4e3af · outbound

This paper cites Vision-based multi-task manipulation for inexpensive robots using end- to-end learning from demonstration.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Vision-based multi-task manipulation for inexpensive robots using end- to-end learning from demonstration

Reference 68

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source=pdf_text observed=2026-08-15T23:27:51.511192Z digest=sha256:89bf0156c72a51ff8a8118bd6214dee91d2f3e0c1f267b7ac903c40ae85bce8a

Observation 4a0007ae-9546-420e-8548-37d46a9259c5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Efficient Sensorimotor Learning for Open-world Robot Manipulation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 69

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source=pdf_text observed=2026-08-15T23:27:51.514765Z digest=sha256:f2c29f54583dcd79d4d90cc744592d619ef7011c3c350304badc9847042ecb9a

Observation f382d493-1540-4974-a85b-75990fd4705a · outbound

This paper cites Deep spatial autoencoders for visuomotor learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Deep spatial autoencoders for visuomotor learning

Reference 70

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Observation 3ea58bce-fd51-4e45-b12b-752d27308953 · outbound

This paper cites Random erasing data augmentation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Random erasing data augmentation

Reference 71

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source=pdf_text observed=2026-08-15T23:27:51.521956Z digest=sha256:3269d22381484b00fddaeac702b521798a3b13f5e70a1afc0d08b476195f1da6

Observation d810d5fc-df4f-4ef9-8052-44d9b8f7f337 · outbound

This paper cites Learning generalizable manipulation policies with object-centric 3d representations.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Learning generalizable manipulation policies with object-centric 3d representations

Reference 72

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source=pdf_text observed=2026-08-15T23:27:51.526044Z digest=sha256:f651ee785142b4ffd1bf10ddee6b57c778d84e1e51702b751e94b7c8ae936237

Observation 7be7ca1d-b3f5-4dc1-b6db-c4906a8a5e99 · outbound

This paper cites Object-centric learning with slot attention.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Object-centric learning with slot attention

Reference 73

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source=pdf_text observed=2026-08-15T23:27:51.529662Z digest=sha256:85be4644a854887c3375adfbf5862893b0bd22eab2db4de152b391bccdb0b1d2

Observation 26efce53-f750-49b1-acb8-29592321df6d · outbound

This paper cites Modular interactive video ob- ject segmentation: Interaction-to-mask, propagation and difference-aware fusion.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Modular interactive video ob- ject segmentation: Interaction-to-mask, propagation and difference-aware fusion

Reference 74

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source=pdf_text observed=2026-08-15T23:27:51.533109Z digest=sha256:82e879374f6d1a50053e5806043913df2352a83c2771a062fb3d494765110220

Observation 09f7223c-e0f4-4557-ac78-b98e6aa41e1d · outbound

This paper cites Xmem: Long-term video object seg- mentation with an atkinson-shiffrin memory model.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Xmem: Long-term video object seg- mentation with an atkinson-shiffrin memory model

Reference 75

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source=pdf_text observed=2026-08-15T23:27:51.536536Z digest=sha256:103f8395da7fd3e873c33a4a19139b7c735d49287d76559ab278f5ab4f9728e3

Observation 5fa9a3a2-f17d-40b8-b317-aad35f75828d · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Open3D: A Modern Library for 3D Data Processing

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source=pdf_text observed=2026-08-15T23:27:51.540105Z digest=sha256:0c30f8233db12e40dfe7519f126a48d6a319811c62e8df41c23a6ade5391791b

Observation a6d415d1-3181-4b05-88ef-906947f36cb7 · outbound

This paper cites Modern robotics.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Modern robotics

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source=pdf_text observed=2026-08-15T23:27:51.543998Z digest=sha256:ebddfae4e5af6319f18044bef489e52081ef4f8dd739ff4c7a01f44298ee3b43

Observation 2754b86e-4416-4910-a8c1-34f341debbd2 · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Masked autoencoders for point cloud self-supervised learning

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Observation 44e6152b-a824-41d7-80c7-845b492c6a06 · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 79

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Observation 7d95b8c0-aa3f-4602-9157-2e2cc7a175fb · outbound

This paper cites Multi-View Masked World Models for Visual Robotic Manipulation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Multi-View Masked World Models for Visual Robotic Manipulation

Reference 80

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source=pdf_text observed=2026-08-15T23:27:51.554614Z digest=sha256:5267b8f5fb99ba02164148dcec37d93bc2aaf429a9c4708c6124ab6261371ff6

Observation fd6e4c64-25e7-411b-ad82-53d2ff44d783 · outbound

This paper cites Vision- based manipulators need to also see from their hands.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Vision- based manipulators need to also see from their hands

Reference 81

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Observation 901cc109-9b6f-473e-a6a5-d839383e805a · outbound

This paper cites Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos

Reference 82

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source=pdf_text observed=2026-08-15T23:27:51.561664Z digest=sha256:7125a905060aea71041e450a5e58885e0b339c71d0c2ae4c32527c197e9e1158

Observation ae93167d-641b-41dc-a0b4-38be441b178b · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation R3M: A Universal Visual Representation for Robot Manipulation

Reference 83

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source=pdf_text observed=2026-08-15T23:27:51.565367Z digest=sha256:ce36f82f7028d22398a7b2d5ab190252d181b91b709d5cb315bfbbacc6964b39

Observation 2cdfc28b-95e4-4e52-9346-ab826118ff71 · outbound

This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

Efficient Sensorimotor Learning for Open-world Robot Manipulation VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 84

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source=pdf_text observed=2026-08-15T23:27:51.569175Z digest=sha256:14b49737845cc90f748d7e3f6e3d4fbfb9464758448e94820622c3a7a08fe5bd

Observation 6b379fea-4011-44d4-aa2f-368db88477b2 · outbound

This paper cites Mimicplay: Long-horizon imitation learning by watching human play.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Mimicplay: Long-horizon imitation learning by watching human play

Reference 85

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source=pdf_text observed=2026-08-15T23:27:51.572871Z digest=sha256:51d184245beed4fb143d06e2711a6ae7f3b63967ddd849756ef89d3de64aa657

Observation f84e5f9f-e28f-4bc0-89ec-e2519101a839 · outbound

This paper cites Learning by watching: Physical imitation of manipu- lation skills from human videos.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Learning by watching: Physical imitation of manipu- lation skills from human videos

Reference 86

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Observation 906585f1-4ccd-4b2c-b0f3-1800a58d8e52 · outbound

This paper cites Imitation Learning from Observation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Imitation Learning from Observation

Reference 87

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source=pdf_text observed=2026-08-15T23:27:51.580064Z digest=sha256:02cfe5313a3be83ead0796d02e2be527e3b556eb5b68a2be2e4144fa14d7f67d

Observation 65f709fe-79d2-4794-a748-1024c654dff5 · outbound

This paper cites Vision-based Manipulation from Single Human Video with Open-World Object Graphs.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Vision-based Manipulation from Single Human Video with Open-World Object Graphs

Reference 88

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Observation ebed024e-a50e-46ee-a30d-5a3836d77c40 · outbound

This paper cites Grounding dino: Marry- ing dino with grounded pre-training for open-set object detection.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Grounding dino: Marry- ing dino with grounded pre-training for open-set object detection

Reference 89

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Observation 3f0ec10d-5934-425b-baf9-f337a8141485 · outbound

This paper cites Putting the Object Back into Video Object Segmentation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Putting the Object Back into Video Object Segmentation

Reference 90

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Observation 6a9f114d-8c92-46f9-9c14-63bc5581f44b · outbound

This paper cites Cotracker: It is better to track together.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Cotracker: It is better to track together

Reference 91

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Observation b3e23f53-4912-495c-85d0-b6de5ab24063 · outbound

This paper cites RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 92

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Observation 260c65bc-2a8c-4fcd-ac50-9e46e8211b7e · outbound

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

Efficient Sensorimotor Learning for Open-world Robot Manipulation You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

Reference 93

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Observation 09ad2b88-1b7a-427e-a9ab-ccab324cf67a · outbound

This paper cites Optimal detection of change- points with a linear computational cost.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Optimal detection of change- points with a linear computational cost

Reference 94

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Observation b3cba7cb-020a-45b9-9003-326901f6b75a · outbound

This paper cites Reconstructing Hands in 3D with Transformers.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Reconstructing Hands in 3D with Transformers

Reference 95

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Observation 4a481e22-8ab3-46c0-9fd0-7e013ba33b4b · outbound

This paper cites Robust reconstruction of indoor scenes.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Robust reconstruction of indoor scenes

Reference 96

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Observation 3a5d907e-efea-4370-9d22-5e8d92eefd69 · outbound

This paper cites Zero-Shot Robot Manipulation from Passive Human Videos.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Zero-Shot Robot Manipulation from Passive Human Videos

Reference 97

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Observation c39a59c7-7861-4d1e-8284-7459da3bf159 · outbound

This paper cites Learning to Act from Actionless Videos through Dense Correspondences.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Learning to Act from Actionless Videos through Dense Correspondences

Reference 98

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Observation 94d32ca3-f717-4550-8a3d-1c55fbc24f7e · outbound

This paper cites Ditto: Demonstration imitation by trajectory transformation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Ditto: Demonstration imitation by trajectory transformation

Reference 99

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Observation 88b03bec-294d-469e-ae8c-2a43bf297ae4 · outbound

This paper cites Robust plan- ning for multi-stage forceful manipulation.

Efficient Sensorimotor Learning for Open-world Robot Manipulation Robust plan- ning for multi-stage forceful manipulation

Reference 100

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