Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:51.631194Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:51.631194Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 300 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 22e4d8e9-d00c-4c32-bf56-2114dc72392a · outbound
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
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
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
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
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
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
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
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
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
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
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Core knowledge
Reference 12
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Observation 49df0b3a-1178-4c5f-8be9-d144a264d602 · outbound
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
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
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Segment Anything
Reference 16
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Observation 55daa0ce-6094-43e1-8b87-7b23ad411271 · outbound
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Markov decision processes
Reference 18
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Observation f2ed3437-866e-4e50-acdb-c6d29594c9d4 · outbound
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
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
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
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
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
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
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
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
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Deep recurrent q-learning for partially observable mdps
Reference 28
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Observation 65efca51-d405-4ec1-a675-05203e17fba6 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Gaussian mixture models
Reference 29
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Observation 418e4526-2a44-40bd-80ce-30a45a8ea8a1 · outbound
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
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
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Imagenet: A large-scale hierarchical image database
Reference 33
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Observation 6dcab12d-74fa-4f64-9fc8-6d8a9703c616 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Processing of representations in declarative and procedural working memory
Reference 34
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Observation 06b56562-6709-40f0-bb4c-346c8c932e5b · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation A unified approach for motion and force control of robot ma- nipulators: The operational space formulation
Reference 35
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Observation e53834b6-94e8-494a-bad8-99420ff399e3 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Pink: Python inverse kinematics based on Pinocchio, 2024
Reference 36
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Observation 0c15e775-104b-400a-99c3-62d4b57291e7 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Mink: Python inverse kinematics based on MuJoCo, July 2024
Reference 37
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Observation 5c4b8f69-468e-4a2e-af8b-1315295c83be · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Deoxys: A modular, real-time controller library for robot learn- ing
Reference 38
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Observation d5ebe0ad-5d6b-4e28-9078-e6f16d7ffc93 · outbound
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
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
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
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
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
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
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
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
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
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Graph-structured visual imitation
Reference 49
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Observation b31114ff-8eab-448b-8a71-b718b795f8b0 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Mask r-cnn
Reference 50
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Observation 6e0bf21b-ec86-4a45-98a3-a8f95de6c51b · outbound
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
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Objects as Points
Reference 53
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Observation 96454721-a084-4e88-a350-f6dde7d0cd2a · outbound
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
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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Observation e0bac059-ac95-43bc-93b4-e75aa582911e · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Attention is all you need
Reference 56
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Observation 08c8fac7-b6b8-454c-afe9-932eb05360fd · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Deep residual learning for image recognition
Reference 57
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Observation 7eae83fc-651e-403e-aeec-fe9e4ed7e296 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation End-to-end training of deep visuomotor policies
Reference 58
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Observation 86f62457-785b-4248-aaa0-acf9a87a1464 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Layer Normalization
Reference 59
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Observation 73ecc9db-23bd-4160-b8f9-de5501d31223 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 60
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Observation d8a9d3b2-86af-43e5-a2b0-0cfe5229af46 · outbound
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Critic regularized regression
Reference 62
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Observation 095cbd57-f2a2-4382-a735-0b0b44637dfe · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Reference 63
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Observation f9dd5bda-ba42-4b6b-8c04-673a131d1a99 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Bag of tricks for image classification with convolutional neural networks
Reference 64
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Observation 9a5093e8-e933-490a-92b1-aee65daa08ee · outbound
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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Observation 1e1be298-8641-46a0-8a34-29ccd8f62bfb · outbound
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Learning to Play by Imitating Humans
Reference 67
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Observation 06368cdb-5bdb-4c5f-ade5-db3294b4e3af · outbound
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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Observation 4a0007ae-9546-420e-8548-37d46a9259c5 · outbound
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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Observation f382d493-1540-4974-a85b-75990fd4705a · outbound
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Random erasing data augmentation
Reference 71
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Observation d810d5fc-df4f-4ef9-8052-44d9b8f7f337 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Learning generalizable manipulation policies with object-centric 3d representations
Reference 72
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Observation 7be7ca1d-b3f5-4dc1-b6db-c4906a8a5e99 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Object-centric learning with slot attention
Reference 73
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Observation 26efce53-f750-49b1-acb8-29592321df6d · outbound
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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Observation 09f7223c-e0f4-4557-ac78-b98e6aa41e1d · outbound
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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Observation 5fa9a3a2-f17d-40b8-b317-aad35f75828d · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Open3D: A Modern Library for 3D Data Processing
Reference 76
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Observation a6d415d1-3181-4b05-88ef-906947f36cb7 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Modern robotics
Reference 77
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Observation 2754b86e-4416-4910-a8c1-34f341debbd2 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Masked autoencoders for point cloud self-supervised learning
Reference 78
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Observation 44e6152b-a824-41d7-80c7-845b492c6a06 · outbound
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Multi-View Masked World Models for Visual Robotic Manipulation
Reference 80
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Observation fd6e4c64-25e7-411b-ad82-53d2ff44d783 · outbound
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
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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Observation ae93167d-641b-41dc-a0b4-38be441b178b · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation R3M: A Universal Visual Representation for Robot Manipulation
Reference 83
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Observation 2cdfc28b-95e4-4e52-9346-ab826118ff71 · outbound
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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Observation 6b379fea-4011-44d4-aa2f-368db88477b2 · outbound
Efficient Sensorimotor Learning for Open-world Robot Manipulation Mimicplay: Long-horizon imitation learning by watching human play
Reference 85
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Observation f84e5f9f-e28f-4bc0-89ec-e2519101a839 · outbound
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Imitation Learning from Observation
Reference 87
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Observation 65f709fe-79d2-4794-a748-1024c654dff5 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
Efficient Sensorimotor Learning for Open-world Robot Manipulation Robust plan- ning for multi-stage forceful manipulation
Reference 100
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No inbound Pith citation observations are available.