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Paper Citation Record · LEDGER

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation

As of 20 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.09315.

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

pith.paper-citation-record.v1
2607.09315 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:56:35.187333Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

A source-named dated measurement, never combined with another source.

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Reference resolution

57 of 57 outbound references displayed

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  • malformed identifier1
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Outbound references

Observation 47610857-6945-4c8f-a584-c65812e8287e · outbound

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

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 1

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Observation 4d4a3f87-1386-417d-99d2-0b327fd1e097 · outbound

This paper cites Open-TeleVision: Teleoperation with Immersive Active Visual Feedback.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Open-TeleVision: Teleoperation with Immersive Active Visual Feedback

Reference 2

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Observation 05d70e54-0e43-4778-a35e-536e2d04ae7e · outbound

This paper cites Telemotion: A realtime humanoid teleoperation system with motion capture,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Telemotion: A realtime humanoid teleoperation system with motion capture,

Reference 3

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Observation 8c92d898-cbfe-4c26-92ea-67de0861063d · outbound

This paper cites Rulik, M.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Rulik, M

Reference 4

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Observation db8680bf-7c1b-408e-b71d-0cb86728092d · outbound

This paper cites Controlling an automated wheelchair via joystick/head-joystick supported by smart driving assistance,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Controlling an automated wheelchair via joystick/head-joystick supported by smart driving assistance,

Reference 5

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Observation 10931677-73af-45c3-a6a9-a4d50ebb7430 · outbound

This paper cites Reach and grasp by people with tetraplegia using a neurally controlled robotic arm,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Reach and grasp by people with tetraplegia using a neurally controlled robotic arm,

Reference 6

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Observation 3b6acd77-642a-4f4d-98c0-7fd39a3ea9ce · outbound

This paper cites Stabilization–responsiveness trade-offs in continuous shared-control for invasive brain–computer interfaces,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Stabilization–responsiveness trade-offs in continuous shared-control for invasive brain–computer interfaces,

Reference 7

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Observation b04b8e13-5d50-4392-ae4a-79649f589ff6 · outbound

This paper cites Assistive planning in complex, dynamic environments: a probabilistic approach,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Assistive planning in complex, dynamic environments: a probabilistic approach,

Reference 8

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Observation 8146ad89-bec1-4802-a02d-fa034406b1b2 · outbound

This paper cites An intention prediction based shared control system for point-to-point navigation of a robotic wheelchair,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation An intention prediction based shared control system for point-to-point navigation of a robotic wheelchair,

Reference 9

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Observation c8b63c14-b9c2-48a0-90a4-b91901d5a3f0 · outbound

This paper cites Shared control in robot teleoperation with improved potential fields,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Shared control in robot teleoperation with improved potential fields,

Reference 10

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Observation f887a720-0bf0-4914-8bdc-59602dab5e62 · outbound

This paper cites A policy-blending formalism for shared control,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation A policy-blending formalism for shared control,

Reference 11

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Observation ff3ffb44-df91-437e-8c27-06909f64f88f · outbound

This paper cites Contin- uous shared control for robotic arm reaching driven by a hybrid gaze- brain machine interface,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Contin- uous shared control for robotic arm reaching driven by a hybrid gaze- brain machine interface,

Reference 12

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Observation b7aff962-8a88-490e-af97-4df9492977a3 · outbound

This paper cites Natural gradient shared control,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Natural gradient shared control,

Reference 13

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Observation 3cad20bb-cc39-464a-9adc-ebe416fdbe1f · outbound

This paper cites Brain–computer interface control with artificial intelligence copilots,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Brain–computer interface control with artificial intelligence copilots,

Reference 14

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Observation f7f6dba8-e5bf-4d45-b48b-aa9028800115 · outbound

This paper cites A shared control strategy for reach and grasp of multiple objects using robot vision and noninvasive brain–computer interface,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation A shared control strategy for reach and grasp of multiple objects using robot vision and noninvasive brain–computer interface,

Reference 15

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Observation 7f643d78-fdab-4b83-b8e3-ed61509556de · outbound

This paper cites Robot trajectron: Trajectory prediction-based shared control for robot manipulation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Robot trajectron: Trajectory prediction-based shared control for robot manipulation,

Reference 16

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Observation d9637f2a-033d-4495-8b9b-5f9a17e1181a · outbound

This paper cites Robot trajectron v2: A probabilistic shared control framework for navigation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Robot trajectron v2: A probabilistic shared control framework for navigation,

Reference 17

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Observation 357a7fd3-3b38-4901-a466-0e0c7ba08fc1 · outbound

This paper cites Model predictive-based shared control for brain- controlled driving,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Model predictive-based shared control for brain- controlled driving,

Reference 18

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Observation 8f05a782-5f42-443c-9118-0f0c342aff73 · outbound

This paper cites Shared control for intelligent wheelchairs: an implicit estimation of the user intention,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Shared control for intelligent wheelchairs: an implicit estimation of the user intention,

Reference 19

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Observation 4157d3c9-87dd-4af5-aaef-834cbfa72093 · outbound

This paper cites Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models

Reference 20

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:e7c70cc01d8827b7e5040d6ae02c060a0b0c99e825792a5c9141db66d0874e32

Observation f7ddd5a8-9367-4048-9a3b-c45ef177836c · outbound

This paper cites Shared autonomy via hindsight optimization for teleoperation and teaming,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Shared autonomy via hindsight optimization for teleoperation and teaming,

Reference 21

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Observation 0345d181-97b6-4558-86af-fb36b0763c64 · outbound

This paper cites Autonomy infused teleoperation with application to brain computer interface controlled manipulation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Autonomy infused teleoperation with application to brain computer interface controlled manipulation,

Reference 22

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Observation 5b6758f9-9b34-4c53-a481-20121a76747c · outbound

This paper cites Shared autonomy of a robotic manipulator for grasping under human intent uncertainty using pomdps,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Shared autonomy of a robotic manipulator for grasping under human intent uncertainty using pomdps,

Reference 23

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Observation 8435f8b3-f338-4581-bc7a-cbc08f79929c · outbound

This paper cites TASC: Task-Aware Shared Control for Relational Telemanipulation.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation TASC: Task-Aware Shared Control for Relational Telemanipulation

Reference 24

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Observation 3983ee82-cf9e-4d57-9bab-4817c606931a · outbound

This paper cites Survey of imitation learning for robotic manipulation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Survey of imitation learning for robotic manipulation,

Reference 25

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Observation 650b642e-6eb8-4a5f-95fd-d115e60ce3fa · outbound

This paper cites A survey on imitation learning techniques for end-to-end autonomous vehicles,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation A survey on imitation learning techniques for end-to-end autonomous vehicles,

Reference 26

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Observation 745578a0-380c-428b-9343-4c7082e0c80e · outbound

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

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 27

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Observation ebcdc062-50f7-4aee-abc2-6beb77352b58 · outbound

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

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 28

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Observation 69d385ec-eefc-4db1-94a1-e9d26686bc94 · outbound

This paper cites Implicit behavioral cloning,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Implicit behavioral cloning,

Reference 29

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Observation 39aaefce-7838-4c03-b086-5532c359a939 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 30

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Observation 6cb41e8f-1ceb-45ce-8318-7dc6b8644992 · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Rlbench: The robot learning benchmark & learning environment,

Reference 31

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Observation 397ffe49-882a-466c-b407-b0335132e5fe · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Libero: Benchmarking knowledge transfer for lifelong robot learning,

Reference 32

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Observation e25e5442-9975-4119-a2d3-a205158a9252 · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,

Reference 33

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Observation e65bd9e3-ef36-4666-85bc-0dc980ee4bdd · outbound

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

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation DINOv2: Learning Robust Visual Features without Supervision

Reference 34

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Observation bfe19848-1d69-4ad4-b462-7c070ee19b16 · outbound

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

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 35

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Observation 42a8b65a-2445-4dcf-a53e-4a19f82b091f · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 36

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Observation 19064d84-fc07-40ac-b30c-5e9a1db5dca7 · outbound

This paper cites Point transformer,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Point transformer,

Reference 37

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:5c00e0006710f20c7af3b2d87e09b35b18e4d51afd008f97f87b5b5fa431863b

Observation a811ee55-21f3-4138-8176-a6d41e77275f · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Point transformer v2: Grouped vector attention and partition-based pooling,

Reference 38

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:c932ee94b7ff089fcfe322fe5598060d3d22a35ce2cef1209fd8f2e34b76be1e

Observation e7b88cca-4bf8-4865-a4b7-65373fb6795f · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Point transformer v3: Simpler faster stronger,

Reference 39

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:7d2f6d0f395c9d4ba1b8166bf36734b3603b5b2f6c9680a5e429b8f41e0c792c

Observation b844e8ad-137c-4411-a8ad-54706c36bed1 · outbound

This paper cites Equivariant diffusion policy,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Equivariant diffusion policy,

Reference 40

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:b3c31ce42dd5767474e8f5e7399cfe85d53e2a4ad634d3d8b234f03070c388aa

Observation 30e49c48-e78f-4b11-943f-1fdc1103bb61 · outbound

This paper cites Bilateral control-based imitation learning for velocity- controlled robot,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Bilateral control-based imitation learning for velocity- controlled robot,

Reference 41

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:1fdd2fd9aa94aa76bc7b0e02784ea44cbce8e797cf1f201ec71d730311e628c7

Observation 1a2b21ff-123a-40ac-a4b3-240c33cd8268 · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 42

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:c158fcf7f65d3455867ec8664c9f15befa33a3754fab2acdb080d5b0bfcbf96b

Observation 92c51e3f-d893-4c4e-bdb7-0ed9ebcbe9ea · outbound

This paper cites Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches

Reference 43

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:b256b4362ed140dceef038789138fea4659decc7733698c7eb69fa366cc22ddc

Observation 1082e3db-3855-4ae1-9b09-174fefd66afa · outbound

This paper cites Perceiver-actor: A multi- task transformer for robotic manipulation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Perceiver-actor: A multi- task transformer for robotic manipulation,

Reference 44

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:43d92e9fdee6b26be5483afbda002b0374a1899cc58a44daa81de6069e0bdf6c

Observation 3a912a3a-b041-4e6e-ac63-8c20ba699752 · outbound

This paper cites an unresolved cited work.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Unresolved cited work

Reference 45

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:dbf0bf20cc1141659481c4cdb944b0d59ddbf535923890688d1ed4f0f1990470

Observation 87ccf8e1-6cf5-4d29-a6e5-23cedc14729d · outbound

This paper cites Transformer-based deep im- itation learning for dual-arm robot manipulation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Transformer-based deep im- itation learning for dual-arm robot manipulation,

Reference 46

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:09300574c0970e78ce4dc31d90b04a93cf99b1e6403bd0fa8ea75bf04aa84795

Observation 831e7b7d-e0c5-48ed-9102-a5f0dddb8931 · outbound

This paper cites Implicit grasp diffusion: Bridging the gap between dense prediction and sampling-based grasping,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Implicit grasp diffusion: Bridging the gap between dense prediction and sampling-based grasping,

Reference 47

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:92ab753778db64ab5bcf498dcf74911a496cedf75b2c60b5bdeddce3cc9cf2c6

Observation 34a268c2-9969-4c20-8daf-5b78b52d04ce · outbound

This paper cites Equivariant Volumetric Grasping.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Equivariant Volumetric Grasping

Reference 48

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:d6cba7528888b91676b44f32099de89b978b47c66a18a6193b5c24b1c37f3280

Observation 2e21ba08-fa27-470d-9e8c-08d1faa2e73b · outbound

This paper cites A review of intent detection, arbitration, and communication aspects of shared control for physical human–robot interaction,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation A review of intent detection, arbitration, and communication aspects of shared control for physical human–robot interaction,

Reference 49

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:49a956efb44fbd8172301fbbc266265ff7b3f1ff258aee7e181d3928ed3826e1

Observation e9774ea3-d3e5-4c61-9296-29b5e0937727 · outbound

This paper cites Learning structured output represen- tation using deep conditional generative models,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Learning structured output represen- tation using deep conditional generative models,

Reference 50

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:da8ffb6d2cdc918819afa6c2ea618d2dd3d4df8f3524549eb15e3fb44314bf1c

Observation 80ac63b4-217b-420a-b5d0-c5e77a2886bf · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 51

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:653cb06407c5bea636d001eb170a6e5f8a0f61937681ac3823c935dd05e46c66

Observation 1b58bc7f-f499-4dba-991e-a365e621e169 · outbound

This paper cites Stochastic tra- jectory prediction via motion indeterminacy diffusion,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Stochastic tra- jectory prediction via motion indeterminacy diffusion,

Reference 52

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:52875f18633f3120c2e0c3d246ee31c20a693c3e7fdbf4356c1cc124fa36befc

Observation 8f84be9b-6949-4500-9a73-d10f8957533f · outbound

This paper cites The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs,

Reference 53

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:fa7065edd2abe9568e915f2ff805a6415bd76c020bcb1d10ef0a8f054d04138c

Observation a3ee594d-fd09-4b64-97f6-dc824a57209a · outbound

This paper cites Curobo: Parallelized collision-free robot motion generation,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Curobo: Parallelized collision-free robot motion generation,

Reference 54

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:5c64f8079daef3a2ac33b8b147b3d0ae7731a9727876e67c377e397d654c736a

Observation 2017da23-ff7b-41e3-b349-90dcdf394c5f · outbound

This paper cites Efficient collision detection framework for enhancing collision-free robot motion,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Efficient collision detection framework for enhancing collision-free robot motion,

Reference 55

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:aa8d4f1e20a27f3a2621ee20da108986be53794aac1e2e93d557c93b7ffdd688

Observation bfe2058a-2364-4e13-8340-e5aed4aec1f6 · outbound

This paper cites Shared Autonomy via Deep Reinforcement Learning.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Shared Autonomy via Deep Reinforcement Learning

Reference 56

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:6048c3eff2e46da35202d76984cf5daf5896d95d31b9e0eab6fc68de46cdd6b0

Observation d03d128f-256b-473c-8742-eba4a5f1e254 · outbound

This paper cites Development of nasa-tlx (task load index): Results of empirical and theoretical research,.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Development of nasa-tlx (task load index): Results of empirical and theoretical research,

Reference 57

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source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:7571e5c0255028ddfd04e0f0893b8665aa191f23223cbd6778d61a803b69c18e

Pith citing papers

No inbound Pith citation observations are available.