Paper Citation Record · LEDGER

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.15146.

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

pith.paper-citation-record.v1
2506.15146 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:46:37.455375Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:39:54.380243Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy27
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d769488-f6ac-48a9-bb8f-8184bd813ea7 · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.280161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39310ac0-5fda-4c50-b9dd-7713e84e040a · outbound

This paper cites Finding locomanipulation plans quickly in the locomotion constrained manifold,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Finding locomanipulation plans quickly in the locomotion constrained manifold,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.284505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9337e36-1a87-4ae9-a0cd-1ac69bf4bd05 · outbound

This paper cites Humanoid loco-manipulations pattern generation and stabilization control,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Humanoid loco-manipulations pattern generation and stabilization control,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.926738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 005f722b-4ba3-423e-a77d-09465f249307 · outbound

This paper cites Multi-contact MPC for dynamic loco- manipulation on humanoid robots,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Multi-contact MPC for dynamic loco- manipulation on humanoid robots,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.915648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b76982a8-fa62-40bf-8fdf-7cd5a4052b19 · outbound

This paper cites Multi-contact whole-body force control for position-controlled robots,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Multi-contact whole-body force control for position-controlled robots,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.904937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42ab8018-d542-4adf-a55f-514d14c29fdc · outbound

This paper cites Multicontact postures computation on manifolds,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Multicontact postures computation on manifolds,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.894666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 255e6d0f-4c31-42a3-a797-f4b7aa295d03 · outbound

This paper cites Optimization-based posture generation for whole-body contact motion by contact point search on the body surface,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Optimization-based posture generation for whole-body contact motion by contact point search on the body surface,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.884353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c39cccaa-6c04-427c-84bc-bd1c91f39776 · outbound

This paper cites Power grasp planning for anthropomorphic robot hands,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Power grasp planning for anthropomorphic robot hands,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.873283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66eb262d-128b-42b8-8450-fbc959652357 · outbound

This paper cites Whole- body pushing manipulation with contact posture planning of large and heavy object for humanoid robot,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Whole- body pushing manipulation with contact posture planning of large and heavy object for humanoid robot,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.311285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f13ac60f-c69e-44e8-b9c0-5fa9b22b3c5b · outbound

This paper cites Multi-contact balancing of humanoid robots in confined spaces: Utilizing knee contacts,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Multi-contact balancing of humanoid robots in confined spaces: Utilizing knee contacts,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.314838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb939e07-d402-4e5d-abb6-e40e2361bed2 · outbound

This paper cites Online generation and control of quasi-static multi-contact motion by pwt ja- cobian matrix with contact wrench estimation and joint load reduction,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Online generation and control of quasi-static multi-contact motion by pwt ja- cobian matrix with contact wrench estimation and joint load reduction,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.318246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07b41d3e-716f-451c-be27-bb4095a2b246 · outbound

This paper cites A flexible and robust large scale capacitive tactile system for robots,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality A flexible and robust large scale capacitive tactile system for robots,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.321575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb4f90e-96e9-4a9c-9b90-806cb7545b7e · outbound

This paper cites A comprehensive realization of robot skin: sensors, sensing, control, and applications,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality A comprehensive realization of robot skin: sensors, sensing, control, and applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.837582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87f48525-ea52-4a77-a288-cff6e380a27d · outbound

This paper cites Realizing whole-body tactile interactions with a self-organizing, multi-modal artificial skin on a humanoid robot,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Realizing whole-body tactile interactions with a self-organizing, multi-modal artificial skin on a humanoid robot,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.328475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3561974-06c2-4829-a075-825984a26264 · outbound

This paper cites Punyo-1: Soft tactile-sensing upper-body robot for large object manipulation and physical human interaction,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Punyo-1: Soft tactile-sensing upper-body robot for large object manipulation and physical human interaction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.819942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8699e33b-c23d-4e85-933c-bd53ed791e28 · outbound

This paper cites Whole-body multi-contact motion control for humanoid robots based on distributed tactile sensors,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Whole-body multi-contact motion control for humanoid robots based on distributed tactile sensors,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.334974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8dfdd76-c817-40f2-8f50-41837341418f · outbound

This paper cites Whole-body active compliance control for humanoid robots with robot skin,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Whole-body active compliance control for humanoid robots with robot skin,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.338532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7073875b-6f40-40ba-8284-d89fb897a23c · outbound

This paper cites Detecting grasp phases and adaption of object-hand interaction forces of a soft humanoid hand based on tactile feedback,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Detecting grasp phases and adaption of object-hand interaction forces of a soft humanoid hand based on tactile feedback,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.342188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4034d8c-b29a-467e-8625-4d4ac9894523 · outbound

This paper cites Real-time coordinated motion generation: A hierarchical deep predictive learning model for bimanual tasks,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Real-time coordinated motion generation: A hierarchical deep predictive learning model for bimanual tasks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.789473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57d162bf-e246-4847-8710-e206fbeacf35 · outbound

This paper cites Spatial calibration of humanoid robot flexible tactile skin for human-robot interaction,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Spatial calibration of humanoid robot flexible tactile skin for human-robot interaction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.778459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aae766b3-a404-4deb-9db2-ed725a3388f3 · outbound

This paper cites Multi-fingered in-hand manipulation with various object properties using graph convolutional networks and distributed tactile sensors,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Multi-fingered in-hand manipulation with various object properties using graph convolutional networks and distributed tactile sensors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.767978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65bf051f-f537-4405-8e75-81a5995747b4 · outbound

This paper cites Tacgnn: Learning tactile-based in-hand manipulation with a blind robot using hierarchical graph neural network,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Tacgnn: Learning tactile-based in-hand manipulation with a blind robot using hierarchical graph neural network,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.356869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b27aac-1c7b-49ca-a8bf-5e65ef4a49fb · outbound

This paper cites How to train your robot with deep reinforcement learning: lessons we have learned,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality How to train your robot with deep reinforcement learning: lessons we have learned,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.360659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de063f47-fc1c-496a-bd5e-02204d6fbcb5 · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality What matters in learning from offline human demonstrations for robot manipulation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.745291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90415c61-2710-4bab-a250-58fa55c5bc77 · outbound

This paper cites Real-world humanoid locomotion with reinforcement learning,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Real-world humanoid locomotion with reinforcement learning,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.367431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec9d25e-a407-4513-bb32-2931d7003900 · outbound

This paper cites Humanoid parkour learning,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Humanoid parkour learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.728350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f44df94b-bcfb-4955-933e-3db7bef1b554 · outbound

This paper cites Deep imitation learning for humanoid loco-manipulation through human teleoperation,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Deep imitation learning for humanoid loco-manipulation through human teleoperation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.717554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0f935d5-691d-46ef-93b6-f9459a4d76c1 · outbound

This paper cites XBG: End- to-end imitation learning for autonomous behaviour in human-robot interaction and collaboration,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality XBG: End- to-end imitation learning for autonomous behaviour in human-robot interaction and collaboration,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.706226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fde2abc-c524-4748-b69e-f98433543ace · outbound

This paper cites OmniH2O: Universal and dexterous human- to-humanoid whole-body teleoperation and learning,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality OmniH2O: Universal and dexterous human- to-humanoid whole-body teleoperation and learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.693997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ea48fac-596c-4d8f-b2a3-2e52ba52cde6 · outbound

This paper cites HumanPlus: Humanoid shadowing and imitation from humans,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality HumanPlus: Humanoid shadowing and imitation from humans,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.682155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d32d5717-43f8-4092-afcd-a65b2aae945d · outbound

This paper cites Sim-to-Real learning for humanoid box loco-manipulation,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Sim-to-Real learning for humanoid box loco-manipulation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.670111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 222c2151-b068-46d7-8b13-f45cd0e55c70 · outbound

This paper cites Flow matching imitation learning for multi-support manipulation,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Flow matching imitation learning for multi-support manipulation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.658902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd958e77-85fb-4d72-948d-33c6819f7d2b · outbound

This paper cites Humanoid robot RHP Friends: Seamless combi- nation of autonomous and teleoperated tasks in a nursing context,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Humanoid robot RHP Friends: Seamless combi- nation of autonomous and teleoperated tasks in a nursing context,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.647864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0cf96499-7f88-4026-beef-cc1f94074147 · outbound

This paper cites The 3d linear inverted pendulum mode: a simple modeling for a biped walking pattern generation,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality The 3d linear inverted pendulum mode: a simple modeling for a biped walking pattern generation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.396845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c9e31f6-c7df-466b-9081-45e94a5d229a · outbound

This paper cites Biped walking pattern generation by using preview MUROOKAet al.: TACT: HUMANOID WHOLE-BODY MANIPULATION THROUGH TACTILE-BASED IMITATION LEARNING 9 control of zero-moment point,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Biped walking pattern generation by using preview MUROOKAet al.: TACT: HUMANOID WHOLE-BODY MANIPULATION THROUGH TACTILE-BASED IMITATION LEARNING 9 control of zero-moment point,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.630768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f86519c3-53f6-4b1f-bc34-fa7e69d3f3c4 · outbound

This paper cites Three-dimensional bipedal walking control based on divergent component of motion,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Three-dimensional bipedal walking control based on divergent component of motion,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.403481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f0816b-9c6f-4776-8d58-326d115fed83 · outbound

This paper cites Learning structured output representation using deep conditional generative models,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Learning structured output representation using deep conditional generative models,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.407470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab70660f-c3dd-489a-8d8d-76721c649221 · outbound

This paper cites Attention is all you need,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Attention is all you need,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.411891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8db7599-aad7-4597-911b-d38b468666a9 · outbound

This paper cites Deep residual learning for image recognition,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Deep residual learning for image recognition,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.415931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65053f82-049f-4817-ae0c-98299aac76f3 · outbound

This paper cites Development of life-sized humanoid robot platform with robustness for falling down, long time working and error occurrence,.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Development of life-sized humanoid robot platform with robustness for falling down, long time working and error occurrence,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:37.419776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37735f4e-0061-4b80-838a-5bd7ed1e8118 · outbound

This paper cites Accessed: 2025-2-1.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Accessed: 2025-2-1

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.587990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6dc61aa4-2404-4ef0-9d47-3a836344fb6b · outbound

This paper cites In order to minimize discrepancies between the real-world and simulation results, the simulated robot was configured to closely match the real humanoid robot.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality In order to minimize discrepancies between the real-world and simulation results, the simulated robot was configured to closely match the real humanoid robot

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.577841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a3366f1-1c3b-47fc-893e-c3e440c75029 · outbound

This paper cites As shown in Fig.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality As shown in Fig

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.567388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7676b1dc-ed20-49b7-afa4-f01d8fb1a6d6 · outbound

This paper cites an unresolved cited work.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:46:37.557316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 054c2e16-bec1-4481-a241-466832e587e3 · outbound

This paper cites The spatial layout of sensor cells naturally defines a graph, and an adjacency matrix can be constructed based on the hexagonal arrangement.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality The spatial layout of sensor cells naturally defines a graph, and an adjacency matrix can be constructed based on the hexagonal arrangement

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.545868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9f0153f-1d90-45bc-bc25-88fadc4a84e0 · outbound

This paper cites an unresolved cited work.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:46:37.534455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf34e9af-ee23-4d30-a516-ffbc220c0441 · outbound

This paper cites an unresolved cited work.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:46:37.523774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73672145-40f5-4a05-a1c8-309a8580da65 · outbound

This paper cites As shown in Fig.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality As shown in Fig

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.512980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad612c2c-5577-41de-97a3-7cf9db1dcc5b · outbound

This paper cites an unresolved cited work.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:46:37.502215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e557d5bc-df0a-4572-8baf-de21b87a7f7d · outbound

This paper cites Out of 252 trials, the number of falls per policy was: TACT: 3, TACT-GCN1: 2, TACT- GCN2: 5, TACT-GCN3: 5, TACT w/o vision: 0, TACT w/o tactile: 10.

TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality Out of 252 trials, the number of falls per policy was: TACT: 3, TACT-GCN1: 2, TACT- GCN2: 5, TACT-GCN3: 5, TACT w/o vision: 0, TACT w/o tactile: 10

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:37.489319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 82c0f7c0-a50c-4a56-ba56-cf3f57851f89 · inbound

Learning Panorama-Aware VLA for Mobile Manipulation with Whole-Body Teleoperation cites this paper.

Learning Panorama-Aware VLA for Mobile Manipulation with Whole-Body Teleoperation TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T10:39:54.380243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.