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Paper Citation Record · LEDGER

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2508.00491.

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

pith.paper-citation-record.v1
2508.00491 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:11:47.484505Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:35:09.160059Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:35:10.244135Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a73cb743-feb3-4aaa-a7d2-b50cd2429994 · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning How to train your robot with deep reinforcement learning: lessons we have learned,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.267701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.267701Z digest=sha256:53538d11d93c9f467914dc658f8f19484fc569a1892362fe6e9753b4e347441e

Observation 9c1a760f-b2d7-4311-8980-9bfedee6b2f7 · outbound

This paper cites Learning controllers for continuum soft manipulators: Impact of modeling and looming challenges,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Learning controllers for continuum soft manipulators: Impact of modeling and looming challenges,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.319266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.273745Z digest=sha256:e2fe422c234fe40cff0fe8c6e46ee7316c121d8716fa306420aa642d63321621

Observation 84e01da0-5beb-4033-babe-2781d94ce899 · outbound

This paper cites A narrative review: current upper limb prosthetic options and design,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A narrative review: current upper limb prosthetic options and design,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.303328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.278987Z digest=sha256:9c46be52ad2df485c4b599addc00e93e270bcdc3a2dab78b30e18ad4fecf6d34

Observation a8c1e39e-5d85-4563-b75f-0d67f97b8d54 · outbound

This paper cites The hannes hand prosthesis replicates the key biological properties of the human hand,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning The hannes hand prosthesis replicates the key biological properties of the human hand,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.287232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.284073Z digest=sha256:c65bc5d69412cee6d8808c715215744c04fa2319fe5e212eda80fa8ec8eb93d8

Observation 8bab167b-e9e2-4db7-b2c6-f3e5177f0f37 · outbound

This paper cites Myoelectric control systems—a survey,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Myoelectric control systems—a survey,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.270365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.290081Z digest=sha256:7bda88e59a73b31f7eccaef5b6ffe8bc5182baaf90a94ee207af0eb6774d1742

Observation f5ebcae2-5561-4e86-8ad1-d80838647650 · outbound

This paper cites A review of myoelectric control for prosthetic hand manipulation,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A review of myoelectric control for prosthetic hand manipulation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.254682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.296103Z digest=sha256:c3fe05c648cea10269951ca8cffd4fc6db8e2d741d0af2600f1f082fffab2b01

Observation 0deda50b-436a-49ee-8930-132b88b45bb4 · outbound

This paper cites Extending mode switching to multiple degrees of freedom in hand prosthesis control is not efficient,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Extending mode switching to multiple degrees of freedom in hand prosthesis control is not efficient,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.239306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.301705Z digest=sha256:8f42764cd16589dad886889083506b1b867539554a7d3ecf3f7200363ebf4606

Observation 8ec0b3e1-eb89-4f05-8e8a-a021a8260a2b · outbound

This paper cites Upper-limb prosthetics: critical factors in device abandonment,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Upper-limb prosthetics: critical factors in device abandonment,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.223276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.306678Z digest=sha256:9c57f8c33ffc038115ab40b49866bc57e1457a06e42a0fb5df3064f343c63811

Observation 72b431e6-0506-4601-a126-3d625bcd0f63 · outbound

This paper cites Hannes prosthesis control based on regression machine learning algorithms,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Hannes prosthesis control based on regression machine learning algorithms,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.207511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.311498Z digest=sha256:463852799a58146213682a6011cef4d401a63c5ca9cf5cff66a8b297268326af

Observation 72cda01c-58c3-43a7-9902-c243fe01c736 · outbound

This paper cites Preliminary Assess- ment of Two Simultaneous and Proportional Myocontrol Methods for 3-DoFs Prostheses Using Incremental Learning,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Preliminary Assess- ment of Two Simultaneous and Proportional Myocontrol Methods for 3-DoFs Prostheses Using Incremental Learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.191693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.316295Z digest=sha256:9c5f4ea18a1c30d88f938cfe277233a833cb886089cbc9c704df66fccd663a79

Observation 33833169-034d-4617-a6f6-2c163f26c59f · outbound

This paper cites Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.174991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.321181Z digest=sha256:7219007a9772d9b3eda9849e1bbdd04b67eb30451430564dc847030c720357d1

Observation 804ec771-c768-473a-b337-f195007d9ce5 · outbound

This paper cites Causes of performance degradation in non-invasive electromyographic pattern recognition in upper limb prostheses,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Causes of performance degradation in non-invasive electromyographic pattern recognition in upper limb prostheses,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.156796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.326480Z digest=sha256:4fc260244ab05fbc19813481d337398ee183c00a6267f935b7652a57bf0c1626

Observation 18390b84-dc49-4e0b-82ee-e82a747dd695 · outbound

This paper cites Active upper limb prostheses: A review on current state and upcoming breakthroughs,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Active upper limb prostheses: A review on current state and upcoming breakthroughs,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.139992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.331314Z digest=sha256:402c07c6d64f35b62120809ef266fda43c49453f12fdfe78ef5c190988c2e9b7

Observation 15216333-9afc-48e3-8589-97f92359be68 · outbound

This paper cites Shared human–robot proportional control of a dexterous myoelectric prosthesis,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Shared human–robot proportional control of a dexterous myoelectric prosthesis,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.123028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.336190Z digest=sha256:5755b549b947289c73774de2edc99b0102c0672adb9f9244c0a2d52ef0c634d8

Observation 9bf881d0-d845-4375-a7e2-aed527cbba00 · outbound

This paper cites A multimodal intention detection sensor suite for shared autonomy of upper-limb robotic prostheses,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A multimodal intention detection sensor suite for shared autonomy of upper-limb robotic prostheses,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.104483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.341138Z digest=sha256:3136ef4f6aabe66d84b79c5a940dad85da0a96b8636aacd67fbca956bcc60124

Observation d43e83b5-2cf1-4ee3-ae0c-530787837806 · outbound

This paper cites Toward human-in-the-loop shared control for upper-limb prostheses: a sys- tematic analysis of state-of-the-art technologies,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Toward human-in-the-loop shared control for upper-limb prostheses: a sys- tematic analysis of state-of-the-art technologies,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.087784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.347059Z digest=sha256:b25cd3ddb04ff87e017e5742581210d5441f4c0fde41ddd11ed72219b7ba0723

Observation c0540039-694b-4a58-8df1-52b780fa3cd3 · outbound

This paper cites Semi-autonomous control of prosthetic hands based on multimodal sensing, human grasp demonstration and user intention,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Semi-autonomous control of prosthetic hands based on multimodal sensing, human grasp demonstration and user intention,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.070853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.351852Z digest=sha256:a44ef4ff140450739a813a44d54acb887a2837a68afba23d5ada022a3d020326

Observation 79c5c693-36aa-49da-a995-d242d24a1533 · outbound

This paper cites Continuous semi-autonomous prosthesis control using a depth sensor on the hand,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Continuous semi-autonomous prosthesis control using a depth sensor on the hand,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.054005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.356789Z digest=sha256:55e3fcfc880c3ae1d3debb6a56c206d728f007dca72f335dc6b784907bcc1cb4

Observation 1db72ba4-8b3e-4d9d-8fcc-b15103667968 · outbound

This paper cites Continuous wrist control on the hannes prosthesis: a vision-based shared autonomy framework,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Continuous wrist control on the hannes prosthesis: a vision-based shared autonomy framework,

Reference 19

Resolution
verified exact
raw_fallback, observed 2026-08-06T10:11:47.754441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.361572Z digest=sha256:e51bee885e1cc0f97a125b0cadeea1ed4cfd870885c1b74518e78b9bb45cbcf7

Observation 8b91a5b7-9d94-453e-8886-9e17a59f5850 · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.036949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.366644Z digest=sha256:562db5b7e51b8d2cfa653dd7bbed3be180f5c970962099936c6df5b49f04124b

Observation cded520e-0943-4eee-8e5d-630131bd03cf · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.372416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.372416Z digest=sha256:dfc9ab4b6607e9ff27890c47ae7a5dc76f009ecbe6db7ea70fa836a028240f88

Observation 52988d63-9837-4906-8e3d-0b67b519c416 · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Open x-embodiment: Robotic learning datasets and rt-x models,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:48.010329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.377750Z digest=sha256:bc8b2329ed7297521b3ed59b4c624206f7bc3e7cdac80f00781abbb8cd30fe74

Observation 667a6632-bb86-41ae-981c-49519158ef93 · outbound

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

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.382739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.382739Z digest=sha256:50ea7cb6db358754eedcd3c64614c1e863dda26f3efe8c894ef2209434c43133

Observation c9e8315a-733a-414c-a4c6-2f040681b95d · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.387858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.387858Z digest=sha256:89dbae58e448c68be2e08439e63173e474f40f9d9b84bd398f5827732fdd476a

Observation 590c331a-4b23-424e-aa04-0571a477fa39 · outbound

This paper cites Affordance-based robot manipulation with flow matching,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Affordance-based robot manipulation with flow matching,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.393248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.393248Z digest=sha256:6c1e5cf613a76be9bcd5eec12276ad8c0feb7f4edb6ece4a675332f9976e8ffb

Observation d19d2e37-374d-47b5-b61a-2344fbf90658 · outbound

This paper cites Denoising diffusion probabilistic models,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Denoising diffusion probabilistic models,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.398213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.398213Z digest=sha256:cf872c7b9566c38504293639ff41118c961337fb85957bae007f195eed3f4753

Observation 195ab7ba-5e25-41ef-b6c2-20315a5b4ea4 · outbound

This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.983917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.402969Z digest=sha256:27443dbe8b1a0c6b04753b7f6fa713e0d12d70f51c8354d398796f1d863bc36c

Observation e0db0ea8-d33a-4d8d-a62d-e10b51120a10 · outbound

This paper cites On Bringing Robots Home.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning On Bringing Robots Home

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.408029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.408029Z digest=sha256:bd98a93d54ec70fbf9a25756c156cccd2a24bc9b256f682297f41ac0f595c53d

Observation bab271cc-9f21-44dc-9afb-1e4160f510c4 · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.413606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.413606Z digest=sha256:ee5096b8ce5cc4b65236b131e9c315871171332902ed711c8e2940741fed97ef

Observation e0f0fe6e-a981-4415-90e5-168593bb8117 · outbound

This paper cites Cognitive vision system for control of dexterous pros- thetic hands: experimental evaluation,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Cognitive vision system for control of dexterous pros- thetic hands: experimental evaluation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.967858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.418804Z digest=sha256:8b3341e03e26d47f4332ccb47a64208eb58f3ec9b39e1b680b847efee33b7242

Observation 4af89e8d-ae0c-4e76-ad83-f1b0f4a0895f · outbound

This paper cites Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.951420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.423444Z digest=sha256:00a500d3a5a8c205d26a40528b9f4af1f044fc0520d40d969a8b984669735c40

Observation b1ec2ea9-285a-4a7b-8f25-b050e184a038 · outbound

This paper cites A semiau- tonomous control strategy based on computer vision for a hand–wrist prosthesis,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning A semiau- tonomous control strategy based on computer vision for a hand–wrist prosthesis,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.935253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.428206Z digest=sha256:e9e3a1b87a8d5a6dc57fb8180220c12851207dfdd29eacc9192f7f88f4b2b3f0

Observation 0e09fbe2-c0e9-4357-88cc-027f0dae26c1 · outbound

This paper cites Affordance seg- mentation using tiny networks for sensing systems in wearable robotic devices,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Affordance seg- mentation using tiny networks for sensing systems in wearable robotic devices,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.919257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.432985Z digest=sha256:e6282d0b990650ba818c18c35a4143036a27fbf6f2e4e416fbfef8af22d6581a

Observation a78c7520-1e49-4be8-aaad-185b59162bcc · outbound

This paper cites Grasp pre-shape selection by synthetic training: Eye-in- hand shared control on the hannes prosthesis,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Grasp pre-shape selection by synthetic training: Eye-in- hand shared control on the hannes prosthesis,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.903251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.438497Z digest=sha256:73833cb0f460bc59b836a0ade8252759dfba5a22947ddbb21845f6e5764e89b0

Observation 9245563d-1b8c-4e1e-8f30-43a76303710b · outbound

This paper cites Incorporation of the intended task into a vision-based grasp type predictor for multi-fingered robotic grasping,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Incorporation of the intended task into a vision-based grasp type predictor for multi-fingered robotic grasping,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.885880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.443318Z digest=sha256:ab8041ceac9eb372faa63ab3c3a927a72a9be8830f979693f0ded1c8c15b80f0

Observation e05c4ed9-9087-4efe-b564-c0f3036c45fa · outbound

This paper cites Towards creating a deployable grasp type probability estimator for a prosthetic hand,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Towards creating a deployable grasp type probability estimator for a prosthetic hand,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.868227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.448103Z digest=sha256:5263bd234c4144266ace937748931e804517798cfa5a21986c04c58760168af3

Observation b4bde965-cb4e-421a-8895-dd21d3d5cbd5 · outbound

This paper cites Grasping with humanoid hands based on in-hand vision and hardware-accelerated cnns,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Grasping with humanoid hands based on in-hand vision and hardware-accelerated cnns,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.849002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.453471Z digest=sha256:356a06fa9736f67fdcbdff2ae7ce5e4b1d335fdcbd14c36afe1531ce623e53bb

Observation fee0b015-086e-4b33-bf22-651917c13f31 · outbound

This paper cites Viiat- hand: A reach-and-grasp restoration system integrating voice interac- tion, computer vision, auditory and tactile feedback for non-sighted amputees,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Viiat- hand: A reach-and-grasp restoration system integrating voice interac- tion, computer vision, auditory and tactile feedback for non-sighted amputees,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.832435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.458238Z digest=sha256:42458fca147bb15b62de87e5d8752d0012f193d95197614d8c650403ed152753

Observation 20712aa0-968a-4c20-9b52-3ed990b5dd74 · outbound

This paper cites Mul- timodal fusion of emg and vision for human grasp intent inference in prosthetic hand control,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Mul- timodal fusion of emg and vision for human grasp intent inference in prosthetic hand control,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.815554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.463117Z digest=sha256:d1d67bd04928073306df9486892737d6f1d4382cdba5bfdad6647863c965d9e0

Observation 50eb9825-a1ec-442a-89e4-3a5bb4c976aa · outbound

This paper cites Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.467889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.467889Z digest=sha256:06b829305e94da60ffdadcefb5f94dc6f9b5291c8931f6ce10836a757b801c62

Observation 587fa7e5-7705-4562-a8e1-3c15ffd997b3 · outbound

This paper cites Development of a 2-dofs actuated wrist for enhancing the dexterity of myoelectric hands,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Development of a 2-dofs actuated wrist for enhancing the dexterity of myoelectric hands,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.799175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.473208Z digest=sha256:f267922eb4dc20a999528cd39683ee504fe9e26d468cf27372dc70bde5df71e0

Observation 479085a1-3f4c-4911-b1fa-69f23a5bce7f · outbound

This paper cites Benchmarking in manipulation research: Using the yale- cmu-berkeley object and model set,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Benchmarking in manipulation research: Using the yale- cmu-berkeley object and model set,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:11:47.781907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:11:47.478611Z digest=sha256:ce62b509fac40664e0b4619e68037f1e11534c2c3eca5e78485a9f34a3b485c4

Observation 5b880666-bd4b-4a3d-bf8a-4d47381dcf52 · outbound

This paper cites Deep residual learning for image recognition,.

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Deep residual learning for image recognition,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T10:11:47.484505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:11:47.484505Z digest=sha256:80fc4e6dc227e3d68d7856f49cfff0eaf99dd485eb467a19ffde4117395c7257

Pith citing papers

Observation a6f08efe-c38b-4074-9615-61c922420c8f · inbound

AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion cites this paper.

AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:35:10.248780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T00:35:09.160059Z digest=sha256:129179796a7466735ab9e9b7d1a9226ae1f45f11cf64edfc4b97b763f72593ed