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Paper Citation Record · LEDGER

Towards Human-level Dexterity via Robot Learning

As of 15 August 2026, this Paper Citation Record lists 100 of 177 outbound references and 0 inbound Pith citation observations for arXiv:2507.09117.

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

pith.paper-citation-record.v1
2507.09117 v1

Coverage vector

measured 100 of 177 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:14:15.972018Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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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Source: cited_works

Reference resolution

100 of 177 outbound references displayed

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  • verified fuzzy2
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Outbound references

Observation 3e9deb41-8a88-4399-9cb3-32862f0478fd · outbound

This paper cites Ritter and R.

Towards Human-level Dexterity via Robot Learning Ritter and R

Reference 1

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Observation 5659c2c2-d963-4534-a842-c35647797971 · outbound

This paper cites The coevolution of encephalization and manual dexterity in hominins and other primates,.

Towards Human-level Dexterity via Robot Learning The coevolution of encephalization and manual dexterity in hominins and other primates,

Reference 2

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Observation 35af53e2-fcd5-433a-a63b-02fad6e97e96 · outbound

This paper cites Developmentofin-handmanipulationand relationship with activities,.

Towards Human-level Dexterity via Robot Learning Developmentofin-handmanipulationand relationship with activities,

Reference 3

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Observation a87209cc-263a-4c49-a5ab-f90a43601a31 · outbound

This paper cites How babies use their hands to learn about objects: Exploration, reach-to-grasp, manipulation, and tool use,.

Towards Human-level Dexterity via Robot Learning How babies use their hands to learn about objects: Exploration, reach-to-grasp, manipulation, and tool use,

Reference 4

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source=pdf_text observed=2026-08-06T18:14:10.110378Z digest=sha256:7bd1ef48c5ea1653e2694c1e935cddf483d48b7b142a1a6b4e5387b6b2c67554

Observation 5496e230-9bbd-4a17-a424-c7738f156748 · outbound

This paper cites Exploring hand dexterity in children with myelomeningocele,.

Towards Human-level Dexterity via Robot Learning Exploring hand dexterity in children with myelomeningocele,

Reference 5

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Observation 3cfbcd46-f229-465d-bf65-65cfa764c0ae · outbound

This paper cites The early motor milestones in infancy and later motor skills in toddlers: A structural equation model of motor development,.

Towards Human-level Dexterity via Robot Learning The early motor milestones in infancy and later motor skills in toddlers: A structural equation model of motor development,

Reference 6

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Observation d3f4616a-58d2-456d-a05e-bc1d5fe18b14 · outbound

This paper cites Role of uncertainty in sensorimotor control,.

Towards Human-level Dexterity via Robot Learning Role of uncertainty in sensorimotor control,

Reference 7

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Observation 44fc161f-ee59-4810-8389-6a680f1877b9 · outbound

This paper cites A literature review of the universal and atomic elements of complex cognition,.

Towards Human-level Dexterity via Robot Learning A literature review of the universal and atomic elements of complex cognition,

Reference 8

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source=pdf_text observed=2026-08-06T18:14:10.136917Z digest=sha256:42211936d6176f239476a5116232bacdce52830bd00dbd4200fe82025882fefb

Observation 85fbd9bc-2069-4241-a8b6-e7baf0314bde · outbound

This paper cites DIGIT: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation,.

Towards Human-level Dexterity via Robot Learning DIGIT: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation,

Reference 9

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source=pdf_text observed=2026-08-06T18:14:10.141821Z digest=sha256:285749552c01354741542450b4ac228ee4c9c79e9419f88cb5aed31ea9b1dd04

Observation 71402fd0-a93d-4f90-9218-aa3dbc5d07c3 · outbound

This paper cites Data-driventactilesensingusingspatiallyoverlappingsignals,.

Towards Human-level Dexterity via Robot Learning Data-driventactilesensingusingspatiallyoverlappingsignals,

Reference 10

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Observation 262508e7-fe95-4298-99dc-18311b1469b8 · outbound

This paper cites GelSight: High-resolution robot tactile sensors for estimating geometry and force,.

Towards Human-level Dexterity via Robot Learning GelSight: High-resolution robot tactile sensors for estimating geometry and force,

Reference 11

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Observation 3104e6b3-1724-4929-9f26-520a6e994195 · outbound

This paper cites Re-evaluation of the distribution of meissner’s corpuscles in human skin,.

Towards Human-level Dexterity via Robot Learning Re-evaluation of the distribution of meissner’s corpuscles in human skin,

Reference 12

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Observation 46840b3b-298a-469c-8491-88cf8d1b7ad2 · outbound

This paper cites Tactile dexterity: Manipulation primitives with tactile feedback,.

Towards Human-level Dexterity via Robot Learning Tactile dexterity: Manipulation primitives with tactile feedback,

Reference 13

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source=pdf_text observed=2026-08-06T18:14:10.172639Z digest=sha256:c59d8ec9c3f86dbca8c732b1453c1dc66b379b1b22d7ddd2418a761047fce6c8

Observation 2d23c3d0-b8bc-4dfa-ab8c-3e5108dabcc7 · outbound

This paper cites Surveyoflearning-basedapproaches for robotic in-hand manipulation,.

Towards Human-level Dexterity via Robot Learning Surveyoflearning-basedapproaches for robotic in-hand manipulation,

Reference 14

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Observation de85d2fa-bdd0-43df-8770-53da183340ce · outbound

This paper cites In-handmanipulationinyoungchildren: Rotation of an object in the fingers,.

Towards Human-level Dexterity via Robot Learning In-handmanipulationinyoungchildren: Rotation of an object in the fingers,

Reference 15

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source=pdf_text observed=2026-08-06T18:14:10.192869Z digest=sha256:467b8d07dca95a30762078f01f6b4b988d7a9fc88e1e06ab91703e75ae276d32

Observation 4e082746-e078-4d98-941d-5f1580839c4a · outbound

This paper cites Solving rubik’s cube with a robot hand,.

Towards Human-level Dexterity via Robot Learning Solving rubik’s cube with a robot hand,

Reference 16

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source=pdf_text observed=2026-08-06T18:14:10.207340Z digest=sha256:31b55c553fbe69238683431c972681cde67b0eb223f002b8cc498880c9472505

Observation 11c8c543-9f84-4f67-a67a-044749b10250 · outbound

This paper cites Dextrous tactile in-hand manipulation using a modular reinforcement learning architecture,.

Towards Human-level Dexterity via Robot Learning Dextrous tactile in-hand manipulation using a modular reinforcement learning architecture,

Reference 17

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source=pdf_text observed=2026-08-06T18:14:10.219410Z digest=sha256:a7fa3cc8d0f595b0a1dc57ab4c42b845a1c41431b9adb83768789bb41cbdc2e8

Observation 32227a29-7597-4b12-bfb2-7d0488df4735 · outbound

This paper cites Learning purely tactile in-hand manipulation with a torque-controlled hand,.

Towards Human-level Dexterity via Robot Learning Learning purely tactile in-hand manipulation with a torque-controlled hand,

Reference 18

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Observation 1f1635c9-9f19-40c6-aeef-6c59366a5460 · outbound

This paper cites AnyRotate: Gravity-invariant in-hand object rotation with sim-to-real touch,.

Towards Human-level Dexterity via Robot Learning AnyRotate: Gravity-invariant in-hand object rotation with sim-to-real touch,

Reference 19

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Observation b3478901-a4f7-4ec7-9f22-450a946b8c72 · outbound

This paper cites Transferring dexterous manipulation from GPU simulation to a remote real-world TriFinger,.

Towards Human-level Dexterity via Robot Learning Transferring dexterous manipulation from GPU simulation to a remote real-world TriFinger,

Reference 20

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Observation 5439db8c-888c-4152-8f87-c5455b711dd1 · outbound

This paper cites Visual dexterity: In-hand dexterous manipulation from depth,.

Towards Human-level Dexterity via Robot Learning Visual dexterity: In-hand dexterous manipulation from depth,

Reference 21

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Observation 5534d186-9465-4698-a4ca-a363901da813 · outbound

This paper cites In-hand object rotation via rapid motor adaptation,.

Towards Human-level Dexterity via Robot Learning In-hand object rotation via rapid motor adaptation,

Reference 22

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Observation 2994c133-e7d3-449b-827e-c0b5a82deff6 · outbound

This paper cites On the feasibility of learning finger- gaiting in-hand manipulation with intrinsic sensing,.

Towards Human-level Dexterity via Robot Learning On the feasibility of learning finger- gaiting in-hand manipulation with intrinsic sensing,

Reference 23

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Observation 560ec3a9-27a5-44e4-ae2d-e893c1a31f82 · outbound

This paper cites Sampling- based exploration for reinforcement learning of dexterous manipulation,.

Towards Human-level Dexterity via Robot Learning Sampling- based exploration for reinforcement learning of dexterous manipulation,

Reference 24

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Observation 01244160-ea98-4d57-835c-8ee59ce57c14 · outbound

This paper cites General in-hand object rotation with vision and touch,.

Towards Human-level Dexterity via Robot Learning General in-hand object rotation with vision and touch,

Reference 25

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source=pdf_text observed=2026-08-06T18:14:10.272356Z digest=sha256:74b63ccb6b63536131dc7dd6ed7ea2579dcab4eb13aa9df2b4e27c390e105fb8

Observation 3b7a9c89-8ba4-4856-aaaf-534285f5de44 · outbound

This paper cites Rotating without seeing: Towards in-handdexteritythroughtouch,.

Towards Human-level Dexterity via Robot Learning Rotating without seeing: Towards in-handdexteritythroughtouch,

Reference 26

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source=pdf_text observed=2026-08-06T18:14:10.278187Z digest=sha256:1629865a34c4ba7cfe2f901ffb99987259a3cde00b4bc45ba4d2ba4d768db81a

Observation fee012f5-c497-4e0c-808d-63e70301bf2a · outbound

This paper cites Dextroustactilein-handmanipulationusinga modular reinforcement learning architecture,.

Towards Human-level Dexterity via Robot Learning Dextroustactilein-handmanipulationusinga modular reinforcement learning architecture,

Reference 27

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source=pdf_text observed=2026-08-06T18:14:10.287258Z digest=sha256:9df3960045228c7a2cec73c8af36b4b27c6918fbee1bb5ba827afb1bd2a2b3c0

Observation 924c9975-5fa0-44c0-bcc2-326de37979d0 · outbound

This paper cites Tactile sensing for dexterous in-hand manip- ulation in robotics—a review,.

Towards Human-level Dexterity via Robot Learning Tactile sensing for dexterous in-hand manip- ulation in robotics—a review,

Reference 28

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source=pdf_text observed=2026-08-06T18:14:10.295934Z digest=sha256:20fb2c4e7b3d30072ed0f7e59e7c1748fd4fac15895f8f5b2218457988c1b6cb

Observation 46d4850d-fa13-49ef-899a-c67e5d90f62d · outbound

This paper cites Tactile sensors for friction estimation and incipient slip detection—toward dexterous robotic manipulation: A review,.

Towards Human-level Dexterity via Robot Learning Tactile sensors for friction estimation and incipient slip detection—toward dexterous robotic manipulation: A review,

Reference 29

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Observation 7a53fba5-f231-46d1-a685-ee3921fe4807 · outbound

This paper cites TEXterity – tactile extrinsic deXterity: Simultaneous tactile estimation and control for extrinsic dexterity,.

Towards Human-level Dexterity via Robot Learning TEXterity – tactile extrinsic deXterity: Simultaneous tactile estimation and control for extrinsic dexterity,

Reference 30

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Observation 9f0017d7-5183-45e2-ac70-cb7f4442e8c6 · outbound

This paper cites Generalizedexplorationinpolicysearch,.

Towards Human-level Dexterity via Robot Learning Generalizedexplorationinpolicysearch,

Reference 31

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Observation 52204cf3-1e80-418b-b3b6-b66496df8c93 · outbound

This paper cites Towards learning to play piano with dexterous hands and touch,.

Towards Human-level Dexterity via Robot Learning Towards learning to play piano with dexterous hands and touch,

Reference 32

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Observation e805246b-2c9d-44cc-8439-85d408d00811 · outbound

This paper cites Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation,.

Towards Human-level Dexterity via Robot Learning Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation,

Reference 33

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source=pdf_text observed=2026-08-06T18:14:10.352595Z digest=sha256:68e1ff06e4894b5c075911a905e44db5e1cdcab0611304e9e4e0ba119a94524f

Observation 5b64749e-f6e1-4856-8690-9645745c4667 · outbound

This paper cites Thefutureliesinapairoftactilehands,.

Towards Human-level Dexterity via Robot Learning Thefutureliesinapairoftactilehands,

Reference 34

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Observation e24cd538-f066-4f2c-8b94-5d5a2bf5632c · outbound

This paper cites DexiTac: Soft dexterous tactile gripping,.

Towards Human-level Dexterity via Robot Learning DexiTac: Soft dexterous tactile gripping,

Reference 35

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source=pdf_text observed=2026-08-06T18:14:10.390909Z digest=sha256:16f3e1de0791be3ac6233f4cb4dffd4ffdef40603b04a2825e746f31c446e4a0

Observation 7ffd6d2e-5514-4bf9-ae1b-be2d16224484 · outbound

This paper cites Lessons from learning to spin “pens.

Towards Human-level Dexterity via Robot Learning Lessons from learning to spin “pens

Reference 36

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source=pdf_text observed=2026-08-06T18:14:10.406817Z digest=sha256:5012820070a39abf52502ef18338b4474309ea10436474c5bcd220bded9e0eb1

Observation aa9426f4-70bf-4cc1-9b05-33de7750c760 · outbound

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

Towards Human-level Dexterity via Robot Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 37

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source=pdf_text observed=2026-08-06T18:14:10.448661Z digest=sha256:8f434226aceb98a95a8c5e1384545fd1fb7add662c7fd98e4cd580bc3b9040ab

Observation 4be91216-bc8c-4061-82a9-273996528077 · outbound

This paper cites Learningfine-grainedbimanualmanipulation with low-cost hardware,.

Towards Human-level Dexterity via Robot Learning Learningfine-grainedbimanualmanipulation with low-cost hardware,

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Observation 5c3469e6-8f67-4f32-98f0-085e4311bd76 · outbound

This paper cites Waypoint-based imitation learning for robotic manipulation,.

Towards Human-level Dexterity via Robot Learning Waypoint-based imitation learning for robotic manipulation,

Reference 39

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source=pdf_text observed=2026-08-06T18:14:10.642662Z digest=sha256:823e09571943552b8e375601be7aaf1a0dd0e31fce7d7cff16c083130f43a225

Observation de3537c8-6459-46c6-ad2d-c302df05a699 · outbound

This paper cites Learningfine-grainedbimanualmanipulation with low-cost hardware,.

Towards Human-level Dexterity via Robot Learning Learningfine-grainedbimanualmanipulation with low-cost hardware,

Reference 40

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Observation 501f7025-ddfc-43a7-be92-7efeac1f50b9 · outbound

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

Towards Human-level Dexterity via Robot Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 41

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Observation 448f1bc7-a474-4fcb-b803-184a2d2ff2bc · outbound

This paper cites RoboAgent: Generalizationandefficiencyinrobotmanipulationviasemanticaugmentationsandaction chunking,.

Towards Human-level Dexterity via Robot Learning RoboAgent: Generalizationandefficiencyinrobotmanipulationviasemanticaugmentationsandaction chunking,

Reference 42

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source=pdf_text observed=2026-08-06T18:14:10.963558Z digest=sha256:c4d4f875bf0281836260e84fcd9c81a9804d4d86a38c039716e29bbf84723548

Observation ffe7a400-4bc4-4c55-a9d3-8117f9e9df1a · outbound

This paper cites Learningtograsptheungraspablewithemergentextrinsicdexterity,.

Towards Human-level Dexterity via Robot Learning Learningtograsptheungraspablewithemergentextrinsicdexterity,

Reference 43

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source=pdf_text observed=2026-08-06T18:14:11.098308Z digest=sha256:336607e0e3fef1fb09f7d25ce0a11a128858e5e02ba60272836d20e4456ce857

Observation 786c184b-1353-45ef-89d7-283e5a8c0b17 · outbound

This paper cites Extremeparkourwithleggedrobots,.

Towards Human-level Dexterity via Robot Learning Extremeparkourwithleggedrobots,

Reference 44

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source=pdf_text observed=2026-08-06T18:14:11.194205Z digest=sha256:a09bf10678a49704ac3cff60ac51ead8d4ff01e90e07e1b2c63f030885579669

Observation ab17e04d-fd7f-490f-b0cd-fe3fe0789a0b · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain,.

Towards Human-level Dexterity via Robot Learning Learning quadrupedal locomotion over challenging terrain,

Reference 45

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source=pdf_text observed=2026-08-06T18:14:11.316306Z digest=sha256:a1c9c74fd211b79ab956f1dc528805af4080eb2b7747e47e5af0eafc894ca8ee

Observation 6159c6dd-c067-49dc-a5eb-4b520b7f319d · outbound

This paper cites Learning agile and dynamic motor skills for legged robots,.

Towards Human-level Dexterity via Robot Learning Learning agile and dynamic motor skills for legged robots,

Reference 46

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source=pdf_text observed=2026-08-06T18:14:11.435285Z digest=sha256:0e6198bd7db8b9ec24904be94b265c51933d7ce1f847987539c8e1943563357d

Observation 213b0412-9f2c-42ff-9236-2537e6a89843 · outbound

This paper cites Robot parkour learning,.

Towards Human-level Dexterity via Robot Learning Robot parkour learning,

Reference 47

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source=pdf_text observed=2026-08-06T18:14:11.545624Z digest=sha256:7b385e761be9da4522f081247fd136b9f71f093dffe6bec722782ffcac2bda99

Observation 4a4ee126-8ed8-43e9-9764-5a07256bb600 · outbound

This paper cites BC-Z:Zero-shottaskgeneralizationwithroboticimitationlearning,.

Towards Human-level Dexterity via Robot Learning BC-Z:Zero-shottaskgeneralizationwithroboticimitationlearning,

Reference 48

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source=pdf_text observed=2026-08-06T18:14:11.682173Z digest=sha256:c957657b1b661f4833be4ed5ab3c12062ac7e77b188ea81a0e7291c1cdd0bd04

Observation 11cde259-0dab-476c-abc2-02a302485b77 · outbound

This paper cites RT-1:Roboticstransformerforreal-worldcontrolatscale,.

Towards Human-level Dexterity via Robot Learning RT-1:Roboticstransformerforreal-worldcontrolatscale,

Reference 49

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source=pdf_text observed=2026-08-06T18:14:11.873133Z digest=sha256:0d692d047181165c59281c540164f46c4cc75fbb9b4cb0007bdf4e8200bf7e84

Observation bf696224-221d-476d-b022-160a169912d0 · outbound

This paper cites RoboCat: A self-improving foundation agent for robotic manipula- tion,.

Towards Human-level Dexterity via Robot Learning RoboCat: A self-improving foundation agent for robotic manipula- tion,

Reference 50

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source=pdf_text observed=2026-08-06T18:14:11.994887Z digest=sha256:fa2874de3d4f4e00611dc7786de873d1c472b20de76c07e03b4d637dac77eb4c

Observation 7cf74968-7c93-4f9c-a061-54410eb6ab99 · outbound

This paper cites RT-2:Vision-language-actionmodelstransferwebknowledgetorobotic control,.

Towards Human-level Dexterity via Robot Learning RT-2:Vision-language-actionmodelstransferwebknowledgetorobotic control,

Reference 51

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source=pdf_text observed=2026-08-06T18:14:12.106771Z digest=sha256:599523492b384646c234846e02c15fc0bdeb3a3eb577d1c8ec0bf256a0d49389

Observation 53c177d8-7123-4476-b5ad-383c251a93a6 · outbound

This paper cites Domainrandomization for transferring deep neural networks from simulation to the real world,.

Towards Human-level Dexterity via Robot Learning Domainrandomization for transferring deep neural networks from simulation to the real world,

Reference 52

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source=pdf_text observed=2026-08-06T18:14:12.215529Z digest=sha256:083375f4577c52ce31400274cc7bb5ce3e3f5dcc9b9d47b92b39911435ae622b

Observation 54afc476-ee91-43fc-9092-fa63a0fb327a · outbound

This paper cites Online vs. offline adaptive domain randomization benchmark,.

Towards Human-level Dexterity via Robot Learning Online vs. offline adaptive domain randomization benchmark,

Reference 53

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source=pdf_text observed=2026-08-06T18:14:12.342946Z digest=sha256:8bc1c9818d51367ca6a1e274583eaff2125da700887a524e4b35f0b0b2454881

Observation 119d65fb-44be-4879-bf50-902045e1d1e7 · outbound

This paper cites RMA: Rapid motor adaptation for legged robots,.

Towards Human-level Dexterity via Robot Learning RMA: Rapid motor adaptation for legged robots,

Reference 54

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source=pdf_text observed=2026-08-06T18:14:12.500040Z digest=sha256:5d6782844794ccd029f1debac8ea7e6585233e701f133ac7e9ba786fa48d91f0

Observation 178262fe-4836-4da5-99b8-8d08b38fffc8 · outbound

This paper cites Reconcilingrealitythroughsimulation:Areal-to-sim-to-realapproachfor robust manipulation,.

Towards Human-level Dexterity via Robot Learning Reconcilingrealitythroughsimulation:Areal-to-sim-to-realapproachfor robust manipulation,

Reference 55

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source=pdf_text observed=2026-08-06T18:14:12.621906Z digest=sha256:66797232affaa4cf8b9282ede0fc4950383e3534b29f0ca795f5000ef354f932

Observation 6cf73f85-645c-4839-8a9c-4da7e6dcb005 · outbound

This paper cites Anoverviewofdexterousmanipulation,.

Towards Human-level Dexterity via Robot Learning Anoverviewofdexterousmanipulation,

Reference 56

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source=pdf_text observed=2026-08-06T18:14:12.707260Z digest=sha256:2ddff8917b6ae894db54c24e72316b1cb66f64c62c1e58f334c514542ffc6a76

Observation d7960918-b044-4880-b338-f67b377eb895 · outbound

This paper cites On dexterity and dexterous manipulation,.

Towards Human-level Dexterity via Robot Learning On dexterity and dexterous manipulation,

Reference 57

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source=pdf_text observed=2026-08-06T18:14:12.768620Z digest=sha256:90d7071546e1f8458a248b022727d62b825de0942831945a8f4fc503620bfe5e

Observation 0cf72879-43b0-4d2e-8f42-efb040ae0027 · outbound

This paper cites Reorientingobjectswitharobothandusinggraspgaits,.

Towards Human-level Dexterity via Robot Learning Reorientingobjectswitharobothandusinggraspgaits,

Reference 58

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source=pdf_text observed=2026-08-06T18:14:12.848636Z digest=sha256:ed84826d9aaba473561968ff68a0dc74db67d50941997401cbc05de720a89f6a

Observation e64dcea3-2e3b-43ff-be82-117fa46e2527 · outbound

This paper cites Dextrous manipulation by rolling and finger gaiting,.

Towards Human-level Dexterity via Robot Learning Dextrous manipulation by rolling and finger gaiting,

Reference 59

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source=pdf_text observed=2026-08-06T18:14:12.953228Z digest=sha256:752601c4188eecf02c84440ba525a5c69bfe480a615f0e3a9d2e27803da15d92

Observation 014a371d-3087-4565-bea3-30bd45dd26f3 · outbound

This paper cites Manipulation gaits: Sequences of grasp control tasks,.

Towards Human-level Dexterity via Robot Learning Manipulation gaits: Sequences of grasp control tasks,

Reference 60

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source=pdf_text observed=2026-08-06T18:14:13.030698Z digest=sha256:d752b3f5d6bfec62d426be6a6fe5debb591105fe3a4feb04a715bf7b39f8c52a

Observation c19fdb92-cb67-465b-9e34-33c682d43770 · outbound

This paper cites Dexterous manipulation planning using probabilistic roadmaps in continuous grasp subspaces,.

Towards Human-level Dexterity via Robot Learning Dexterous manipulation planning using probabilistic roadmaps in continuous grasp subspaces,

Reference 61

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Observation 12f6eb5e-7d28-47fe-a98c-6c00a4fd9b8c · outbound

This paper cites Regrasps by a multifingered hand based on primitives,.

Towards Human-level Dexterity via Robot Learning Regrasps by a multifingered hand based on primitives,

Reference 62

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Observation 8d0773c0-4ab5-4cec-bcb2-25edf0ed7cc1 · outbound

This paper cites Chapter 8 markov decision processes,.

Towards Human-level Dexterity via Robot Learning Chapter 8 markov decision processes,

Reference 63

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source=pdf_text observed=2026-08-06T18:14:13.264404Z digest=sha256:8094c5f2e6d315eda46d98976713ebc3023d48de05939a178e5406e1093c9dec

Observation a029af11-c92c-4750-bd9f-5de755d16ffc · outbound

This paper cites MuJoCo: A physics engine for model-based control,.

Towards Human-level Dexterity via Robot Learning MuJoCo: A physics engine for model-based control,

Reference 64

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source=pdf_text observed=2026-08-06T18:14:13.328592Z digest=sha256:35d835b7d4cf1a84a4aa9a3f6f3ffb47a58d5dec3b88ba0a9d0b4810aa6082f2

Observation 9f7c30dc-9fb2-4141-a715-01260c81da3a · outbound

This paper cites Synthesisandstabilizationofcomplexbehaviorsthrough online trajectory optimization,.

Towards Human-level Dexterity via Robot Learning Synthesisandstabilizationofcomplexbehaviorsthrough online trajectory optimization,

Reference 65

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Observation bd4384e7-c73e-4951-a56b-d5a8104dc946 · outbound

This paper cites Discoveryofcomplexbehaviorsthroughcontact- invariant optimization,.

Towards Human-level Dexterity via Robot Learning Discoveryofcomplexbehaviorsthroughcontact- invariant optimization,

Reference 66

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source=pdf_text observed=2026-08-06T18:14:13.469591Z digest=sha256:4fa2fbca886f7687436913d4dbabf55fd90df5542c25c12bd8f461a8843c7e24

Observation d35df40d-fa99-41e2-a0b0-51b6cc8454fd · outbound

This paper cites Real-time robust finger gaits planning under object shape and dynamics uncertainties,.

Towards Human-level Dexterity via Robot Learning Real-time robust finger gaits planning under object shape and dynamics uncertainties,

Reference 67

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source=pdf_text observed=2026-08-06T18:14:13.530133Z digest=sha256:5039477a2fca81240a41a7837112ac64ef76f496387957061593dd8d2425e316

Observation 8714ad86-2e85-4226-8836-5a11d1ce4f8d · outbound

This paper cites Geometric in-hand regrasp planning: Alternating optimization of finger gaits and in-grasp manipulation,.

Towards Human-level Dexterity via Robot Learning Geometric in-hand regrasp planning: Alternating optimization of finger gaits and in-grasp manipulation,

Reference 68

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source=pdf_text observed=2026-08-06T18:14:13.591089Z digest=sha256:e1559f2f113d4a67f3efd6a51827a2a3da355dea7f5c245a0b000c485de08d2e

Observation 7e58bd66-b83e-4c65-a7ec-349b14ecca76 · outbound

This paper cites Solvingchallengingdexterousmanipulationtaskswith trajectory optimisation and reinforcement learning,.

Towards Human-level Dexterity via Robot Learning Solvingchallengingdexterousmanipulationtaskswith trajectory optimisation and reinforcement learning,

Reference 69

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source=pdf_text observed=2026-08-06T18:14:13.659766Z digest=sha256:f0809b444c1cb07413bc4a79b492ea6d1a02fd58995530ddb3510712e903dc0b

Observation d61adb8f-d9e6-4e2b-98c4-08f8a9f42216 · outbound

This paper cites Complementarity-free multi-contact modeling and optimization for dexterous manipulation,.

Towards Human-level Dexterity via Robot Learning Complementarity-free multi-contact modeling and optimization for dexterous manipulation,

Reference 70

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source=pdf_text observed=2026-08-06T18:14:13.727396Z digest=sha256:b4ff7c80e8be0bf6a47446b3170af9f12a54c2044b990b4ccfe8511180cc3688

Observation b4c96a0f-824b-42aa-b946-203ca78f81fa · outbound

This paper cites Randomized manipulation planning for a multi-fingered hand by switching contact modes,.

Towards Human-level Dexterity via Robot Learning Randomized manipulation planning for a multi-fingered hand by switching contact modes,

Reference 71

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source=pdf_text observed=2026-08-06T18:14:13.775406Z digest=sha256:911f34fac5e89fc39d181b1a27f6b365ca84ee486df2db81b0d55911d06d486f

Observation 17d7533f-afbd-4099-af8e-f4ba94452ce3 · outbound

This paper cites Finger gaits planning for multifingered manipulation,.

Towards Human-level Dexterity via Robot Learning Finger gaits planning for multifingered manipulation,

Reference 72

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source=pdf_text observed=2026-08-06T18:14:13.824180Z digest=sha256:96e73249b4cbd01630f60238694e317c8d5aa69f7d8526e024eff424b3b08351

Observation 8f718a8a-4bb6-4885-ac0f-bc0bc9dd48e0 · outbound

This paper cites Learning dexterous in-hand manipulation,.

Towards Human-level Dexterity via Robot Learning Learning dexterous in-hand manipulation,

Reference 73

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source=pdf_text observed=2026-08-06T18:14:13.889630Z digest=sha256:4b6ffeb3fb976906d813aa8a3ad30eebe2339ca3edb38fd86461408f21585386

Observation 893a6248-2ab9-45f6-b44b-7c309015d2bb · outbound

This paper cites Learning complex dexterous manipulation with deep reinforcement learning and demonstrations,.

Towards Human-level Dexterity via Robot Learning Learning complex dexterous manipulation with deep reinforcement learning and demonstrations,

Reference 74

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Observation 62f35eb4-54a1-4325-b4d0-918f29497695 · outbound

This paper cites Dexterousmanipulationwithdeepreinforcement learning: Efficient, general, and low-cost,.

Towards Human-level Dexterity via Robot Learning Dexterousmanipulationwithdeepreinforcement learning: Efficient, general, and low-cost,

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source=pdf_text observed=2026-08-06T18:14:14.033588Z digest=sha256:071f21b5858564ee07213a714ea2074ceb73208bca8823dee60e7364bfd50e5c

Observation 74288157-f039-4e81-a3f1-d37ec08d256b · outbound

This paper cites State-only imitation learning for dexter- ous manipulation,.

Towards Human-level Dexterity via Robot Learning State-only imitation learning for dexter- ous manipulation,

Reference 76

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source=pdf_text observed=2026-08-06T18:14:14.097696Z digest=sha256:5e29b19525711faae9d18de22dc682d89e52df071cb284038d7a569de74c333d

Observation c2941ece-32c0-4792-a8a5-c7f3986be241 · outbound

This paper cites Generalizationindexterousmanipulation via geometry-aware multi-task learning,.

Towards Human-level Dexterity via Robot Learning Generalizationindexterousmanipulation via geometry-aware multi-task learning,

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Observation 0ff11a24-9e19-4500-b798-b52f909b3110 · outbound

This paper cites Isaac gym: High performance GPU-based physics simulation for robot learning,.

Towards Human-level Dexterity via Robot Learning Isaac gym: High performance GPU-based physics simulation for robot learning,

Reference 78

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Observation 16a556d3-3b19-4f46-9fad-4c300c047461 · outbound

This paper cites DeXtreme: Transfer of agile in-hand manipulation from simulation to reality,.

Towards Human-level Dexterity via Robot Learning DeXtreme: Transfer of agile in-hand manipulation from simulation to reality,

Reference 79

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source=pdf_text observed=2026-08-06T18:14:14.253967Z digest=sha256:34fc36c2c54a42adceb3b5f3b8fbd64a517233cc39aff45b84909f626feaf278

Observation 24081219-c422-4224-9cfa-5b30d3695e38 · outbound

This paper cites Precision object manipulation with a multifingered robot hand,.

Towards Human-level Dexterity via Robot Learning Precision object manipulation with a multifingered robot hand,

Reference 80

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source=pdf_text observed=2026-08-06T18:14:14.322268Z digest=sha256:92145d73b2a6246d538307a13e4f18416c40600715ff1dcc0f156816101a13b5

Observation 7e5a13df-2fac-4580-84f2-b719ea826022 · outbound

This paper cites Learningrobotin-handmanipulation with tactile features,.

Towards Human-level Dexterity via Robot Learning Learningrobotin-handmanipulation with tactile features,

Reference 81

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source=pdf_text observed=2026-08-06T18:14:14.369075Z digest=sha256:2edbd5d76e069640757c03b119513c0e9e6b631aa76aba661597e55ed7c32660

Observation a102ca8f-98af-4913-9f3c-a3d461eb32da · outbound

This paper cites Melnik, L.

Towards Human-level Dexterity via Robot Learning Melnik, L

Reference 82

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source=pdf_text observed=2026-08-06T18:14:14.419206Z digest=sha256:75dce9a71bca83492ca0f9516ac8fcfdaf3f092c04105fd357be80ee5e7f0620

Observation 3553adc8-2e78-400b-a609-eb74c2dbd805 · outbound

This paper cites Using tactile sensing to improve the sample efficiency and performance of deep deterministic policy gradients for simulated in-hand manipulation tasks,.

Towards Human-level Dexterity via Robot Learning Using tactile sensing to improve the sample efficiency and performance of deep deterministic policy gradients for simulated in-hand manipulation tasks,

Reference 83

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source=pdf_text observed=2026-08-06T18:14:14.484420Z digest=sha256:9b442740e3c7ce434fbcefdeff9ddb75af8908dac3f0dbaeaa35687ff592b58f

Observation 035afecf-4967-459d-92bb-479e4b81d01c · outbound

This paper cites Deepdynamicsmodelsforlearningdexterous manipulation,.

Towards Human-level Dexterity via Robot Learning Deepdynamicsmodelsforlearningdexterous manipulation,

Reference 84

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source=pdf_text observed=2026-08-06T18:14:14.548476Z digest=sha256:4f5e3e2db9a67f1726a84040c6f234a9228993844fdd94a74a1abadc959f4ea0

Observation 6cc003de-86ab-43ed-96a3-2c7d03f8e28a · outbound

This paper cites Modelpredictiveactor-critic:Acceleratingrobotskillacquisitionwithdeepreinforcement learning,.

Towards Human-level Dexterity via Robot Learning Modelpredictiveactor-critic:Acceleratingrobotskillacquisitionwithdeepreinforcement learning,

Reference 85

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source=pdf_text observed=2026-08-06T18:14:14.597413Z digest=sha256:d0e25ac36ea28b21f8835fc71e7452bfbdddfefea34d4713b2ef9c9ecc4765d1

Observation 8b5d9574-0bc7-4cd2-ab89-e1651454c9bb · outbound

This paper cites Surprisinglyrobustin-handmanipulation: An empirical study,.

Towards Human-level Dexterity via Robot Learning Surprisinglyrobustin-handmanipulation: An empirical study,

Reference 86

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source=pdf_text observed=2026-08-06T18:14:14.652847Z digest=sha256:ebdda3e40c529219ecb68415f3c3a748fc8d2b6f15eccad9aba72409bbed7d47

Observation 13783dee-1cde-4a16-8a08-51e245bdc967 · outbound

This paper cites Onthefeasibilityoflearningfinger-gaiting in-hand manipulation with intrinsic sensing,.

Towards Human-level Dexterity via Robot Learning Onthefeasibilityoflearningfinger-gaiting in-hand manipulation with intrinsic sensing,

Reference 87

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source=pdf_text observed=2026-08-06T18:14:14.727693Z digest=sha256:0448630825c49764aa01199930fe7ca582f9fdaa68e5554f376f20152261b1a6

Observation 1ff6e1b9-c868-4e67-801c-4fc33f5814c5 · outbound

This paper cites A system for general in-hand object re-orientation,.

Towards Human-level Dexterity via Robot Learning A system for general in-hand object re-orientation,

Reference 88

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source=pdf_text observed=2026-08-06T18:14:14.807988Z digest=sha256:039b08de312d130d72058a79ea0c24f286b05a95f50355b8f2f1239f09120198

Observation fcded2c4-4bc7-46df-abf9-5f9894e593b1 · outbound

This paper cites Estimator-coupled reinforcement learning for robust purely tactile in-hand manipulation,.

Towards Human-level Dexterity via Robot Learning Estimator-coupled reinforcement learning for robust purely tactile in-hand manipulation,

Reference 89

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source=pdf_text observed=2026-08-06T18:14:14.902579Z digest=sha256:6f293e851acf7b26c818be27a4fee3a46796bd09a301f616501dfc7d91822ada

Observation 022de441-173b-4b26-af3a-ecb050e21897 · outbound

This paper cites Rotating without seeing: Towards in-hand dexterity through touch,.

Towards Human-level Dexterity via Robot Learning Rotating without seeing: Towards in-hand dexterity through touch,

Reference 90

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source=pdf_text observed=2026-08-06T18:14:14.985757Z digest=sha256:ac5aae11cd8d8a1a829f04d14d8da5b7f8a8b74baf17f9207bcd3b7ade5a2a18

Observation 5228a85f-0d54-4cd6-b60d-85b09bfbfa1d · outbound

This paper cites Robot synesthesia: In-hand manipulation with visuotactile sensing,.

Towards Human-level Dexterity via Robot Learning Robot synesthesia: In-hand manipulation with visuotactile sensing,

Reference 91

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Observation 073ea48b-bfe5-4df3-aab4-78f526498f38 · outbound

This paper cites General In-Hand Object Rotation with Vision and Touch.

Towards Human-level Dexterity via Robot Learning General In-Hand Object Rotation with Vision and Touch

Reference 92

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source=pdf_text observed=2026-08-06T18:14:15.139940Z digest=sha256:cfae1287269074fd17dcf5bb36efbd9d9f600f01f9c36b1c88cb856e874e2e74

Observation 79ec4743-e621-4a4e-a43a-31dd05c88698 · outbound

This paper cites Sampling-based exploration for reinforcement learning of dexterous manipulation,.

Towards Human-level Dexterity via Robot Learning Sampling-based exploration for reinforcement learning of dexterous manipulation,

Reference 93

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source=pdf_text observed=2026-08-06T18:14:15.238021Z digest=sha256:d3fe1250d21aec08eedc7050470f95c62dc597448623b085cd36cd889d748b4f

Observation 9f3a68bd-88a7-4157-8af1-4ed59f49af86 · outbound

This paper cites Hierarchical tactile-based control decomposition of dexterous in-hand manipulation tasks,.

Towards Human-level Dexterity via Robot Learning Hierarchical tactile-based control decomposition of dexterous in-hand manipulation tasks,

Reference 94

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source=pdf_text observed=2026-08-06T18:14:15.302645Z digest=sha256:fdc85409595144c49d9b27c83e19b546429bcbf8f265458e19d0cdae66739c37

Observation 611eeab9-1acd-4982-bb18-bf05197094d6 · outbound

This paper cites Learninghierarchicalcontrol for robust in-hand manipulation,.

Towards Human-level Dexterity via Robot Learning Learninghierarchicalcontrol for robust in-hand manipulation,

Reference 95

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source=pdf_text observed=2026-08-06T18:14:15.430407Z digest=sha256:43eaa3401024d9b48280d26f0f89ebb3741fab812d4b812576a864fe9295150a

Observation 9dbe4487-2f00-4e40-a71b-9704e09a6cff · outbound

This paper cites AC-teach: A bayesianactor-criticmethodforpolicylearningwithanensembleofsuboptimalteachers,.

Towards Human-level Dexterity via Robot Learning AC-teach: A bayesianactor-criticmethodforpolicylearningwithanensembleofsuboptimalteachers,

Reference 96

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Observation 47149bc0-edbb-47c3-a104-0b3350827a4b · outbound

This paper cites Learningdexterousmanipulationfromsuboptimalexperts,.

Towards Human-level Dexterity via Robot Learning Learningdexterousmanipulationfromsuboptimalexperts,

Reference 97

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source=pdf_text observed=2026-08-06T18:14:15.671638Z digest=sha256:e0409c0e0c6b181f11a2eb97bf2e18b82984e684aa8f7401a349e8d0d01204b1

Observation d0590e25-c863-4a71-adfe-fb2a222e8db1 · outbound

This paper cites Zhang, PEX: Policy expansion for bridging offline-to-online reinforcement learning (ICLR23).

Towards Human-level Dexterity via Robot Learning Zhang, PEX: Policy expansion for bridging offline-to-online reinforcement learning (ICLR23)

Reference 98

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Observation a4a7ea2d-b670-4627-a05b-48755a1a02cf · outbound

This paper cites R ×R:RapideXplorationforreinforcementlearningviasampling-based reset distributions and imitation pre-training,.

Towards Human-level Dexterity via Robot Learning R ×R:RapideXplorationforreinforcementlearningviasampling-based reset distributions and imitation pre-training,

Reference 99

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:14:15.867393Z digest=sha256:2bbf925d0a0f3199e79d04970634ecd0312050bf3fc9d861fe0b296ed201d0bf

Observation fabd89dd-b466-42d9-9836-af853f09ca35 · outbound

This paper cites Curiosity-driven exploration by self- supervised prediction,.

Towards Human-level Dexterity via Robot Learning Curiosity-driven exploration by self- supervised prediction,

Reference 100

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:14:15.972018Z digest=sha256:2eba2a41b178a7515a3f3e7177ac4c7880912f5a8d17388aa18fd9bfc1291b90

Pith citing papers

No inbound Pith citation observations are available.