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Paper Citation Record · LEDGER

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation

As of 23 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2607.09218.

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

pith.paper-citation-record.v1
2607.09218 v2

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measured 71 of 71 reference resolution

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measured 71 of 71 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

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71 of 71 outbound references displayed

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Outbound references

Observation 3bf1e53f-e499-4b1a-8f52-bd1d22f2048c · outbound

This paper cites Rt-2: Vision-language- action models transfer web knowledge to robotic control.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Rt-2: Vision-language- action models transfer web knowledge to robotic control

Reference 1

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Observation b787c361-cdb7-4800-ad70-18817462f99a · outbound

This paper cites A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation

Reference 2

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Observation a0a7c2e0-d4f0-488d-8aa5-28f8c1982e8a · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 3

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Observation 9b044259-5e03-4c68-a927-f180bcb0428e · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Open x-embodiment: Robotic learning datasets and rt-x models

Reference 4

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Observation fa450c21-36cd-40c9-807a-a144e03a0095 · outbound

This paper cites Whole-arm tactile sensing for beneficial and acceptable contact dur- ing robotic assistance.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Whole-arm tactile sensing for beneficial and acceptable contact dur- ing robotic assistance

Reference 5

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Observation 7116223c-3ba1-4be2-9783-3873303ba6c0 · outbound

This paper cites Reaching in clutter with whole-arm tactile sensing.The International Journal of Robotics Research, 32(4):458–482, 2013.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Reaching in clutter with whole-arm tactile sensing.The International Journal of Robotics Research, 32(4):458–482, 2013

Reference 6

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Observation 43f59129-355f-495e-9630-d8aa5de20058 · outbound

This paper cites Killpack and Charles C.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Killpack and Charles C

Reference 7

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Observation c5f201d1-22a3-476e-8ecb-ace4f634e8d2 · outbound

This paper cites Discover our gen3 robotic arm.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Discover our gen3 robotic arm

Reference 8

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Observation 5d84b8bb-ae7c-4139-8c33-dce51e7f026f · outbound

This paper cites CushSense: Soft, Stretchable, and Comfortable Tactile-Sensing Skin for Physical Human-Robot Interaction.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation CushSense: Soft, Stretchable, and Comfortable Tactile-Sensing Skin for Physical Human-Robot Interaction

Reference 9

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Observation bfecdd80-356f-4963-87c6-431d711b52b0 · outbound

This paper cites Robotsweater: Scal- able, generalizable, and customizable machine-knitted tactile skins for robots, 2023.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Robotsweater: Scal- able, generalizable, and customizable machine-knitted tactile skins for robots, 2023

Reference 10

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Observation d34aaa0e-cdd6-4f1c-96a4-94ac22b14223 · outbound

This paper cites Tsui, and Alex Alspach.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Tsui, and Alex Alspach

Reference 11

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Observation aed1ccb6-3a39-45c3-a83d-e88b7cc77eb5 · outbound

This paper cites A warm hug from a robot: A dual-mode e-skin with programming compliance.Review of Scientific Instruments, 93(11), 2022.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation A warm hug from a robot: A dual-mode e-skin with programming compliance.Review of Scientific Instruments, 93(11), 2022

Reference 12

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Observation a27c5e62-2287-4709-a3e5-5d68a31d772a · outbound

This paper cites Geometry-based two-contact inverse kinematic solution for whole arm manipulation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Geometry-based two-contact inverse kinematic solution for whole arm manipulation

Reference 13

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Observation 772f4f0e-83e7-4061-8b03-ccd3943da1c2 · outbound

This paper cites Learn- ing contact-rich whole-body manipulation with example- guided reinforcement learning.Science Robotics, 10(105):eads6790, 2025.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Learn- ing contact-rich whole-body manipulation with example- guided reinforcement learning.Science Robotics, 10(105):eads6790, 2025

Reference 14

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Observation c138fb7e-bffd-451e-ae89-482cf74f9209 · outbound

This paper cites Priori- touch: Adapting to user contact preferences for whole- arm physical human-robot interaction.arXiv preprint arXiv:2509.18447, 2025.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Priori- touch: Adapting to user contact preferences for whole- arm physical human-robot interaction.arXiv preprint arXiv:2509.18447, 2025

Reference 15

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Observation 5aa1fa83-5aaa-4e1f-be6e-efa33f75be34 · outbound

This paper cites The six hug commandments: Design and evaluation of a human- sized hugging robot with visual and haptic perception.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation The six hug commandments: Design and evaluation of a human- sized hugging robot with visual and haptic perception

Reference 16

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Observation 8638cc01-2a80-498f-b24b-b3ed1f5125f5 · outbound

This paper cites Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, and Jeannette Bohg.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, and Jeannette Bohg

Reference 17

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Observation 1dc5734b-b396-4435-99fd-f427e1890bba · outbound

This paper cites More than a feeling: Learning to grasp and regrasp using vision and touch.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation More than a feeling: Learning to grasp and regrasp using vision and touch

Reference 18

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Observation 1c196d31-3f15-4b0b-b837-e9ededf24940 · outbound

This paper cites Visuo-Tactile Transformers for Manipulation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Visuo-Tactile Transformers for Manipulation

Reference 19

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Observation 489c4130-7647-4f65-8343-7500179cdc9b · outbound

This paper cites Manipulation by feel: Touch-based control with deep predictive models.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Manipulation by feel: Touch-based control with deep predictive models

Reference 20

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Observation 5b55a2e1-209c-4f78-89bc-05cd58a1d0f8 · outbound

This paper cites Letac-mpc: Learning model predictive control for tactile-reactive grasping.IEEE Transactions on Robotics, 2024.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Letac-mpc: Learning model predictive control for tactile-reactive grasping.IEEE Transactions on Robotics, 2024

Reference 21

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Observation 0e8bf572-8c79-4427-8624-81ba0493cc47 · outbound

This paper cites A contact model based on denoising diffusion to learn variable impedance control for contact-rich ma- nipulation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation A contact model based on denoising diffusion to learn variable impedance control for contact-rich ma- nipulation

Reference 22

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Observation 65bfc8c1-c91a-4729-99f2-39a2a832fd43 · outbound

This paper cites Irasim: A fine-grained world model for robot manipulation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Irasim: A fine-grained world model for robot manipulation

Reference 23

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Observation 8a35fed6-7be9-411f-8897-81d64b3f8a7f · outbound

This paper cites Worldplanner: Monte carlo tree search and mpc with action-conditioned visual world models.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Worldplanner: Monte carlo tree search and mpc with action-conditioned visual world models

Reference 24

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Observation 8bab7e80-997c-4483-9428-c9461710d6f3 · outbound

This paper cites Model predictive path integral control: From theory to parallel computation.Journal of Guidance, Control, and Dynamics, 40(2):344–357, 2017.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Model predictive path integral control: From theory to parallel computation.Journal of Guidance, Control, and Dynamics, 40(2):344–357, 2017

Reference 25

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Observation e154d91f-692e-4e05-9e8d-419ef9b0ed09 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation YOLOv11: An Overview of the Key Architectural Enhancements

Reference 26

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Observation b3cd56d2-8aa7-47f7-83b6-d094de833556 · outbound

This paper cites Analysis of approximate nearest neighbor searching with clustered point sets.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Analysis of approximate nearest neighbor searching with clustered point sets

Reference 27

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Observation 1c9bd711-0ba7-4b2c-a0b0-5e7e638b71ca · outbound

This paper cites DINOv3.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation DINOv3

Reference 28

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Observation 7b612957-6028-45d0-94d0-1977a0872093 · outbound

This paper cites An intriguing failing of convolutional neural networks and the coordconv solution.Advances in neural infor- mation processing systems, 31, 2018.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation An intriguing failing of convolutional neural networks and the coordconv solution.Advances in neural infor- mation processing systems, 31, 2018

Reference 29

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Observation 6ec4427d-fe7b-47d0-aca4-efc1b7f6149f · outbound

This paper cites Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation

Reference 30

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Observation 267176d9-3c23-43db-bcb6-4cf157074f00 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 31

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Observation 66639a77-d799-4647-a3ac-21b881350ea2 · outbound

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

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 32

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Observation e2cb5d1a-8652-4670-b367-148c14e03f5e · outbound

This paper cites What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?

Reference 33

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Observation e53b7228-dace-49e2-9583-080b792a23d0 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Offline Reinforcement Learning with Implicit Q-Learning

Reference 34

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Observation bbcd99b0-4048-4507-9e51-f4e8a45c5bfb · outbound

This paper cites Rcareworld: A human- centric simulation world for caregiving robots.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Rcareworld: A human- centric simulation world for caregiving robots

Reference 35

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Observation b8928f4b-be34-4a4c-8789-38e318a03950 · outbound

This paper cites Robohive: A unified framework for robot learning.Advances in Neural Information Processing Systems, 36:44323–44340, 2023.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Robohive: A unified framework for robot learning.Advances in Neural Information Processing Systems, 36:44323–44340, 2023

Reference 36

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Observation 28c1b8f7-79cf-41bf-bafc-4b32a8b097c7 · outbound

This paper cites Robohive Franka environ- ment for V-JEPA2.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Robohive Franka environ- ment for V-JEPA2

Reference 37

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Observation c4f81cc8-49ef-4cb6-afed-41e595a00446 · outbound

This paper cites an unresolved cited work.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Unresolved cited work

Reference 38

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:260af26f36d9a9f73a654a3ec536e1b3f2ac82b1b4a0308c40ddf1df2d9c2213

Observation 472e0e25-16e7-46be-93f9-e216874e90c8 · outbound

This paper cites AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation

Reference 39

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:e9354e6fd4a640fc6efca178723a0f51d1d7dbbb6d5d1679ef8546bf46b2dad5

Observation 09eb0c5f-66e6-4ee2-bcdc-fbc8c4ebe81c · outbound

This paper cites Mastering diverse control tasks through world models.Nature, 640(8059):647–653, April 2025.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Mastering diverse control tasks through world models.Nature, 640(8059):647–653, April 2025

Reference 40

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:8141f706995aed52264844150b0d1b31b1ecb032a6d822f96ddc0ef6009f5128

Observation 9248a623-3ddd-47d8-8998-cb7aada4d2ea · outbound

This paper cites Td-mpc2: Scalable, robust world models for continuous control, 2024.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Td-mpc2: Scalable, robust world models for continuous control, 2024

Reference 41

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:311bdac59ed121aef1a3a828e262139322b25fe61422aef1654c807b0be40027

Observation 1af75f9e-944a-474b-b4a5-f581fe9581de · outbound

This paper cites FlexiForce load/force sensors and systems.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation FlexiForce load/force sensors and systems

Reference 42

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:5ad6f11025efb4dc984e96408c5c0d273dfc1c12bcb3f78076d73c1b697a9f3c

Observation 0f980769-f0e6-42d8-8189-834d81ed9864 · outbound

This paper cites Dif- fusion policy: Visuomotor policy learning via action diffusion.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Dif- fusion policy: Visuomotor policy learning via action diffusion

Reference 43

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:61fb978b033f3459bb8725b72de66aeb52254af02d34fdfc9575bf2d1a4530c7

Observation c5e71c0e-951c-4418-8ee4-6bd7acea1cd1 · outbound

This paper cites easy handeye: Automated, hardware- independent hand-eye calibration for ROS.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation easy handeye: Automated, hardware- independent hand-eye calibration for ROS

Reference 44

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:f164ca2b485d089b869a249dcdf299379ab4d6b98bf5b233b0953775955f7593

Observation 325fef63-6a1a-41a0-9a64-16cabfa57241 · outbound

This paper cites We acquire synchronized sensor data at40Hz.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We acquire synchronized sensor data at40Hz

Reference 45

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:f93628b738adb133a58054b2fba1f45998c3c1fe3089ca106d13193afa3f008b

Observation fd42c30c-7139-48f4-ab22-f3ece0ea7b34 · outbound

This paper cites Parameter Value MPC horizonH8 MPC time step∆t0.025 MPPI particlesN100 Two-fidelity top-M10 Latent history lengthL3 Control modejoint-space impedance B.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Parameter Value MPC horizonH8 MPC time step∆t0.025 MPPI particlesN100 Two-fidelity top-M10 Latent history lengthL3 Control modejoint-space impedance B

Reference 46

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:3109c5ca2b6e96f7aae2e9de81f73dbdb3aa4f5780cc0a66130690460cfd4f6f

Observation 49708a97-87de-400c-9343-357f90eae78e · outbound

This paper cites We use a fixed extrinsic transform between the robot base and camera, which is needed only for projecting taxels into the image.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We use a fixed extrinsic transform between the robot base and camera, which is needed only for projecting taxels into the image

Reference 47

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:a02f819fe3630ec4362e5c7f7ab017ce6b6f647e3141ec08143fcc6edc24abc3

Observation 33332420-fb5d-4354-ba8a-4690ffc28173 · outbound

This paper cites 6: Cosine similarity for RGB, Depth, and Proximity Mask.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation 6: Cosine similarity for RGB, Depth, and Proximity Mask

Reference 48

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:92ff51ef00b1d34ac4b07dded67d5e8201247bd8cba7d40305b88812073f94b2

Observation ba643e79-5549-45fe-8550-fdcaf66d6aec · outbound

This paper cites For each active taxelk, we treat the contact point as the taxel center obtained from forward kinematics.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation For each active taxelk, we treat the contact point as the taxel center obtained from forward kinematics

Reference 49

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:8a1a139c4002e1833c17564805baaac66cc0f782b889ae131c7d8f20ff2bcbf7

Observation 362812dd-9579-4ffa-93d1-92e74585b02a · outbound

This paper cites We computeG force t using the small matrix inverse( fJntfJn⊤ t +εI) −1 with a stable factorization (e.g., Cholesky).

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We computeG force t using the small matrix inverse( fJntfJn⊤ t +εI) −1 with a stable factorization (e.g., Cholesky)

Reference 50

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:bdfe140bd95a4bd77c22b591355ab5f628fac5181aa62c6a3a71984022e16569

Observation 995800b6-a083-4d1f-8717-913cd60f0df8 · outbound

This paper cites Because|K viol t |is small, we solve it efficiently with an active-set method.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Because|K viol t |is small, we solve it efficiently with an active-set method

Reference 51

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:993bd502271f7ab9f3fae4f9e5030994e9b399a3b04029d7deda197eff0b1330

Observation 23d113c3-10fe-4f91-9cbd-6153e4b469ca · outbound

This paper cites We trainF draft l purely using teacher forcing loss (imitate the full model).

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We trainF draft l purely using teacher forcing loss (imitate the full model)

Reference 52

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:77810c0fbec011e8f2fc987ea1b1720b5292d37b5cb8b1a3642e2861d722bbb1

Observation 0a2cb3fb-9b81-4564-bd2f-582d8ab43070 · outbound

This paper cites Joint limits.Let(q min,q max)be joint bounds and∆ q a soft margin.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Joint limits.Let(q min,q max)be joint bounds and∆ q a soft margin

Reference 53

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:380998c02b004bcc624d4788898813550d5a0415572ced6ca721d039ecc3cf79

Observation b9227616-43e9-4788-a764-0dc0cc645b1a · outbound

This paper cites For eachk∈ Kt, we form a spring-based force estimate along the measured contact normal using the kinematic rollout ˆqt+1:t+H.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation For eachk∈ Kt, we form a spring-based force estimate along the measured contact normal using the kinematic rollout ˆqt+1:t+H

Reference 54

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:8a775eedf4712ea56e35dce2fb50a83ea01a5e053b1ca110507cf1eb623de0bb

Observation 1a786927-058c-40aa-a3ec-227da04978ba · outbound

This paper cites We first use the binary contact decoderψ contact to estimate the contact onset timeˆτ k for each taxelk.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We first use the binary contact decoderψ contact to estimate the contact onset timeˆτ k for each taxelk

Reference 55

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:2efde9892aee250f53bbdac3d5379df30d2b865a48dc57d5ba87123cdd25c11d

Observation 3bd436ff-ec1d-4211-8d66-8c9536494810 · outbound

This paper cites an unresolved cited work.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Unresolved cited work

Reference 56

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:5aa7d15fbc441ed8aba1e2fcbae5f6c360c49cb272dc9b7ea85715faa5aec30b

Observation a6f10a70-d060-42f5-9838-a73ce9bb3254 · outbound

This paper cites Infeasible rollouts (large joint-limit violations or self- collision) are handled by increasing the corresponding penalty by a factor of1000rather than rejecting the sample.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Infeasible rollouts (large joint-limit violations or self- collision) are handled by increasing the corresponding penalty by a factor of1000rather than rejecting the sample

Reference 57

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:12b7398fae38d6406962cecb47b7b5d233d0678f7551be7c2472f13202946f03

Observation dc460043-5d8f-4a33-bd59-daf6a676ca6f · outbound

This paper cites We obtain the values for these indicators during data collection by mounting ArUco markers on the head and limb joints.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We obtain the values for these indicators during data collection by mounting ArUco markers on the head and limb joints

Reference 58

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Observation 32bf208c-6a22-455a-8d3d-80e9f913d65a · outbound

This paper cites IV-A) and com- pute a latent embeddingz t for each observation.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation IV-A) and com- pute a latent embeddingz t for each observation

Reference 59

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:58302cd842f8b38c1d92b3531cbdbba4b787930b206d019936b21387c60a04c8

Observation fe4ea820-1076-4baf-8e8a-720872c75ddf · outbound

This paper cites an unresolved cited work.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Unresolved cited work

Reference 60

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Observation 6ac58695-d17a-4891-9dac-d5c6f2860fab · outbound

This paper cites Q-learning objective.The TD target is yt =r t +γ(1−d t)V ¯θ(xt+1),(22) and we minimize LQ =E D h (Qϕ1(xt,u t)−y t)2 + (Qϕ2(xt,u t)−y t)2 i.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Q-learning objective.The TD target is yt =r t +γ(1−d t)V ¯θ(xt+1),(22) and we minimize LQ =E D h (Qϕ1(xt,u t)−y t)2 + (Qϕ2(xt,u t)−y t)2 i

Reference 61

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Observation 7fe724a5-2ffc-45f2-9a0c-7aa624b8176f · outbound

This paper cites We then augment the rollout cost as Jaug(ut:t+H−1) =J(u t:t+H−1)−λ V Vθ(ˆzt+H ,z g),(25) whereV θ is the learned IQL value function.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We then augment the rollout cost as Jaug(ut:t+H−1) =J(u t:t+H−1)−λ V Vθ(ˆzt+H ,z g),(25) whereV θ is the learned IQL value function

Reference 62

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:79679bd2b4c91ba98fe7b295ca40c219188a81f0d1ba228b13ca4cef4a84d582

Observation 97ef7f27-fa06-48c5-a7a7-0b95f9b2ad7f · outbound

This paper cites Each pad measures normal force over a50.8 mm×50.8 mmsensing area and outputs a resistance change proportional to applied load.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Each pad measures normal force over a50.8 mm×50.8 mmsensing area and outputs a resistance change proportional to applied load

Reference 63

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:4372ce5c1f810c94e7a0b10b75bfeb2f9390cbb24a1a0c804f2388664c77927e

Observation e3cb382b-8029-48dc-8a41-77e16969d773 · outbound

This paper cites A tare is accepted only when the window variance is below a stability threshold.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation A tare is accepted only when the window variance is below a stability threshold

Reference 64

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:78ca7d844e81fa44b4ea984b5dc643f18b225e7e876ac3cd9b676fec41aaad66

Observation d0855504-ea39-4053-a89c-6b1f7451f248 · outbound

This paper cites We obtain taxel positions and outward normals in the link frame from manual measurements (vernier caliper) and CAD alignment, and include these extrinsics in the robot model.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We obtain taxel positions and outward normals in the link frame from manual measurements (vernier caliper) and CAD alignment, and include these extrinsics in the robot model

Reference 65

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:9bcfcb1ccf2db04bafd09cbdc829ff6d47e33c66f60a2a5d844732d128e2c7c7

Observation b4a99a0c-2bfb-49cb-8ded-7dee0bad80cd · outbound

This paper cites We repeatedly apply normal loads over a range of magnitudes and fit a linear model that maps raw readings to force in Newtons using least-squares regression.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation We repeatedly apply normal loads over a range of magnitudes and fit a linear model that maps raw readings to force in Newtons using least-squares regression

Reference 66

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:bc4cc06bdb143dd2042118ab489b72d188d3cc696eec069da38c5dfd96935364

Observation 8a756873-131e-48aa-83e8-a48f6716e4f1 · outbound

This paper cites The driver includes a watchdog for common failure modes (e.g., missing packets, low battery, disconnected boards, inactive channels).

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation The driver includes a watchdog for common failure modes (e.g., missing packets, low battery, disconnected boards, inactive channels)

Reference 67

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Observation 1fc13980-99b7-40e6-ad96-841fc2f7420c · outbound

This paper cites an unresolved cited work.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Unresolved cited work

Reference 68

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:0a3acc53f9753f80195f6ecd7cba8427f6b3e8bce404e681d79f6555162249be

Observation 77096182-48a2-4de7-9c5c-82d0c6dd60ed · outbound

This paper cites an unresolved cited work.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation Unresolved cited work

Reference 69

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source=pdf_text observed=2026-07-14T15:17:18.201186Z digest=sha256:869a33d83c4bd1da0b2448f7d7ffcf7d8087a98b556f7507afd668e344f13d67

Observation 78f1491b-ea10-4662-8faa-dc1e77eb6916 · outbound

This paper cites RGB and depth images are captured with an Intel RealSense D455 at 60 Hz and time-synchronized to the 40 Hz logging stream.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation RGB and depth images are captured with an Intel RealSense D455 at 60 Hz and time-synchronized to the 40 Hz logging stream

Reference 70

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no resolver link, observed 2026-07-14T15:17:18.201186Z

Source-reported events for the cited work

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Observation 2625b74d-d874-466c-960e-bed8736e7b10 · outbound

This paper cites To make the model hybrid, we do FK to compute end-effector samples and add a cost for end-effector goal reaching.

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation To make the model hybrid, we do FK to compute end-effector samples and add a cost for end-effector goal reaching

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