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Paper Citation Record · LEDGER

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2502.10429.

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

pith.paper-citation-record.v1
2502.10429 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:28:40.609098Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

  • verified exact37
  • verified fuzzy17
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51ee7b35-8bbe-45e9-9df6-4a401cc7ac01 · outbound

This paper cites COLIBRI: A hovering flapping twin -wing robot,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning COLIBRI: A hovering flapping twin -wing robot,

Reference 1

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doi, observed 2026-08-08T19:28:41.980495Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 75abdafb-03c2-4126-8dc4-8f7ff98089e4 · outbound

This paper cites Dove: A biomimetic flapping -wing micro air vehicle,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Dove: A biomimetic flapping -wing micro air vehicle,

Reference 2

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doi, observed 2026-08-08T19:28:41.971115Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.042987Z digest=sha256:1f94638b27240e6ba8d1915c21a6c6c63fe06be7ee74fd49a2dd86c44c6fcb6a

Observation a29aeff8-fa5b-4b21-8f99-8e10ab52c2d7 · outbound

This paper cites Design and Experimental Verification of a Roll Control Strategy for Large Wingspan Flapping -Wing Aerial Vehicle,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Design and Experimental Verification of a Roll Control Strategy for Large Wingspan Flapping -Wing Aerial Vehicle,

Reference 3

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doi, observed 2026-08-08T19:28:41.960577Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5d773f14-1311-4fca-b51f-6ce1f5813b84 · outbound

This paper cites A numerical study on the aerodynamic effects of dynamic twisting on forward flight flapping wings,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning A numerical study on the aerodynamic effects of dynamic twisting on forward flight flapping wings,

Reference 4

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doi, observed 2026-08-08T19:28:41.741358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.087381Z digest=sha256:6841728563ba1a623f82e04532bb96db59585cd79c420d8f8067cd1fee0cf51b

Observation edc17369-01ac-40c2-8733-2ea2b2814ff2 · outbound

This paper cites Effects of dynamical spanwise retraction and stretch on flapping-wing forward flights,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Effects of dynamical spanwise retraction and stretch on flapping-wing forward flights,

Reference 5

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doi, observed 2026-08-08T19:28:41.656375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.190612Z digest=sha256:26b1683217c5adeb193f78678b65bb02bf6cc4c7a0f0e1abe732b0cdb07d51da

Observation 97c88c45-a58e-4e74-823b-a3bd8de669c7 · outbound

This paper cites Experimental study on the effect of increased downstroke duration for an FWAV with morphing-coupled wing flapping configuration,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Experimental study on the effect of increased downstroke duration for an FWAV with morphing-coupled wing flapping configuration,

Reference 6

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doi, observed 2026-08-08T19:28:41.646629Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.243269Z digest=sha256:2bee2b3d00a2f2173c18b50abab2ede373c4dd90acc487de75c74b9a20a4333e

Observation 102dd284-7434-499b-833a-cb6d09b34819 · outbound

This paper cites Design and Verification of a Large -Scaled Flapping-Wing Aircraft Named “Cloud Owl.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Design and Verification of a Large -Scaled Flapping-Wing Aircraft Named “Cloud Owl

Reference 7

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doi, observed 2026-08-08T19:28:41.637818Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.369066Z digest=sha256:1fa0fb51f78779fb5f60699f4ded889b1c90b6fe6377aa08b7585b43d956024a

Observation 4a4dfdc2-9dc4-474c-9bc7-9a2269424118 · outbound

This paper cites HiFly -Dragon: A Dragonfly Inspired Flapping Flying Robot with Modified, Resonant, Direct-Driven Flapping Mechanisms,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning HiFly -Dragon: A Dragonfly Inspired Flapping Flying Robot with Modified, Resonant, Direct-Driven Flapping Mechanisms,

Reference 8

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doi, observed 2026-08-08T19:28:41.629509Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.391572Z digest=sha256:2da8dabf6bb3177e1ab336455bd882cdb495df5ba41821090b16b67aee3f9316

Observation 9377c9d4-89b5-4a28-bb85-714b9fe920e8 · outbound

This paper cites Research on the Energy Balance of Long Endurance Hover -capable Direct -drive Dragonfly -like Aircraft Affected by Design Parameters,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Research on the Energy Balance of Long Endurance Hover -capable Direct -drive Dragonfly -like Aircraft Affected by Design Parameters,

Reference 9

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source=pdf_text observed=2026-08-08T19:28:39.395600Z digest=sha256:1bc0abecfe2fe9e9fe20f15f0a682608504a5d1819e9ee07c86e1d6071a11268

Observation 92c81599-0729-4645-bdfa-0f628f3e3213 · outbound

This paper cites Three-dimensional sweeping motion effects on hovering dragonflies,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Three-dimensional sweeping motion effects on hovering dragonflies,

Reference 10

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source=pdf_text observed=2026-08-08T19:28:39.398600Z digest=sha256:ac934b010ccb071d9ecdeb54fd1dcd491af8b3a928cd3458878eb09fb5a349b4

Observation fdf7b2c2-64f5-4a65-b974-b0aeb7865d64 · outbound

This paper cites Tandem -wing interactions on aerodynamic performance inspired by dragonfly hovering,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Tandem -wing interactions on aerodynamic performance inspired by dragonfly hovering,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.411883Z digest=sha256:a521d83ae987afb7c4c937a5aeb49747c3e5c3c61a1da4078df1922cd9878e60

Observation c776481e-8fda-49a4-b9cf-115d20615211 · outbound

This paper cites Festo BionicOpter.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Festo BionicOpter

Reference 12

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source=pdf_text observed=2026-08-08T19:28:39.451606Z digest=sha256:eb5cc69a9704e184181c2c1bff6bfdd815ef13e7f1b28c0433cd0e29498b70ad

Observation 8ce80c20-7f44-42bb-a9ab-7a18768a3876 · outbound

This paper cites Quad-thopter: Tailless flapping wing robot with four pairs of wings,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Quad-thopter: Tailless flapping wing robot with four pairs of wings,

Reference 13

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source=pdf_text observed=2026-08-08T19:28:39.551723Z digest=sha256:430de3e64602d0df0d7d0f0f60fd03e8dd1234fa692f6de8158dbc51c36f259b

Observation 8672c847-91d6-429a-94ed-8e6e1aeeb7d5 · outbound

This paper cites A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns,

Reference 14

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source=pdf_text observed=2026-08-08T19:28:39.555320Z digest=sha256:95f8a10be7eb79642d791a3f4fc012b6cd4b60e5495dc6a5b1b9ae58753e7bcc

Observation 6a12a4fe-8aaa-47ce-b7a9-7971578a7dd1 · outbound

This paper cites Platform design and tethered flight of a motor-driven flapping-wing system,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Platform design and tethered flight of a motor-driven flapping-wing system,

Reference 15

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source=pdf_text observed=2026-08-08T19:28:39.558581Z digest=sha256:c40f0caee0cd3d53e387a16da71a59ce6d2d2d1f3b2d248b73cbd8c9166deb88

Observation 610dc8a4-c5f1-469d-afef-85eca535cd04 · outbound

This paper cites Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion

Reference 16

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local_arxiv, observed 2026-08-08T19:28:41.489466Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.561884Z digest=sha256:c7a4b6b0975b0efde967f9b3b5255a6512e0482f4513bd6218d39743a595897c

Observation 9024c648-5eef-42b0-8271-f9c5463a0851 · outbound

This paper cites Acting is seeing: Navigating tight space using flapping wings,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Acting is seeing: Navigating tight space using flapping wings,

Reference 17

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source=pdf_text observed=2026-08-08T19:28:39.565567Z digest=sha256:0fe797135604dc69307cd397d27bcc1a39ada95a8f0031d842615ac76273de7f

Observation dab38325-3cac-4952-8632-7e73aa17a75c · outbound

This paper cites Crawl and fly: A bio-inspired robot utilizing unified actuation for hybrid aerial-terrestrial locomotion,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Crawl and fly: A bio-inspired robot utilizing unified actuation for hybrid aerial-terrestrial locomotion,

Reference 18

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source=pdf_text observed=2026-08-08T19:28:39.568880Z digest=sha256:cd228ad67113e880eaffc17f5eb6e62a4363c54418361a7ec2a8618e0b84e19d

Observation f69f130e-7b89-4acd-96ec-95549a950590 · outbound

This paper cites Flying With Damaged Wings: The Effect on Flight Capacity and Bio-Inspired Coping Strategies of a Flapping Wing Robot,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Flying With Damaged Wings: The Effect on Flight Capacity and Bio-Inspired Coping Strategies of a Flapping Wing Robot,

Reference 19

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source=pdf_text observed=2026-08-08T19:28:39.574328Z digest=sha256:84de132f196ba641757964c65308f5ddad18132a5bb428b59bdac1a5f278d45d

Observation 95ff5f28-6a32-4037-abbd-98408ea1701a · outbound

This paper cites Bio -inspired rapid escape and tight body flip on an at -scale flapping wing hummingbird robot via reinforcement learning,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Bio -inspired rapid escape and tight body flip on an at -scale flapping wing hummingbird robot via reinforcement learning,

Reference 20

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.577428Z digest=sha256:d067bbde7be4f49c3e04cd9ea2dc8b49e1b43ec77e64596e65b80369eb378ef2

Observation be4e4a62-0234-4543-89bc-a046619bd2c5 · outbound

This paper cites ConcertoRL: A Reinforcement Learning Approach for Finite-Time Single-Life Enhanced Control and its Application to Direct-Drive Tandem-Wing Experiment Platforms,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning ConcertoRL: A Reinforcement Learning Approach for Finite-Time Single-Life Enhanced Control and its Application to Direct-Drive Tandem-Wing Experiment Platforms,

Reference 21

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source=pdf_text observed=2026-08-08T19:28:39.581363Z digest=sha256:1ddb0dfce358c9fac7c006aa0e7eb4c76fba55e09edf06bd817fc0fe6fd0f02f

Observation a10766e9-30f9-48c1-a738-3fe30c69ff58 · outbound

This paper cites Sensitivity Analysis of Wing Geometric and Kinematic Parameters for the Aerodynamic Performance of Hovering Flapping Wing,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Sensitivity Analysis of Wing Geometric and Kinematic Parameters for the Aerodynamic Performance of Hovering Flapping Wing,

Reference 22

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source=pdf_text observed=2026-08-08T19:28:39.585379Z digest=sha256:acc6743a50fcd62e95e3d276ebb2e333e98d6fad6e57bf0e908d64792f6e4801

Observation ab84b3f9-0400-4328-a908-c8f55e7a0b3e · outbound

This paper cites Flapping trajectory characteristics and attitude control approach of a flapping -wing robot with 2 -DOF parallel mechanism,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Flapping trajectory characteristics and attitude control approach of a flapping -wing robot with 2 -DOF parallel mechanism,

Reference 23

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source=pdf_text observed=2026-08-08T19:28:39.589125Z digest=sha256:807063c0ffbc9cba30446345c67fa8b6469aba21556f0c46b499c1857e24c668

Observation 3491a7d5-7aa3-447f-ad9c-63e60b26cf88 · outbound

This paper cites Design and verification of large -scaled flapping wings for high altitude environment,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Design and verification of large -scaled flapping wings for high altitude environment,

Reference 24

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source=pdf_text observed=2026-08-08T19:28:39.592724Z digest=sha256:4a8763cecb5e3fff159d7edb945b85f2be818689c1c91ecb9a60d79edb93ed17

Observation 4cd91c0f-4548-466c-8367-92e9a339bb3d · outbound

This paper cites Effect of wing membrane material on the aerodynamic performance of flexible flapping wing,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Effect of wing membrane material on the aerodynamic performance of flexible flapping wing,

Reference 25

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.596518Z digest=sha256:b9ed1a061d6e7bd25df01bf08d91a789463d89a2587a72d5dc2a6df34027ccf5

Observation 11383fca-71bf-4ff6-a064-c29ad807caed · outbound

This paper cites Phasing of dragonfly wings can improve aerodynamic efficiency by removing swirl,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Phasing of dragonfly wings can improve aerodynamic efficiency by removing swirl,

Reference 26

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source=pdf_text observed=2026-08-08T19:28:39.600163Z digest=sha256:78fd351aef4c63e047e668d8eb3ff6a01b7a9a3534cc0618ad350ce790dee9a3

Observation 2f504127-2c0c-4eac-848b-c9f5659d3eb4 · outbound

This paper cites Experimental study on forewing –hindwing phasing in hovering and forward flapping flight,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Experimental study on forewing –hindwing phasing in hovering and forward flapping flight,

Reference 27

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source=pdf_text observed=2026-08-08T19:28:39.603436Z digest=sha256:2cffa3a19a318072adc13df7eed223bb88114efc04aa40c3fec204b4bf3f8f45

Observation a381a2dc-6022-4d43-aae9-8cd5823afc0d · outbound

This paper cites Robot fine-tuning made easy: Pre-training rewards and policies for autonomous real -world reinforcement learning,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Robot fine-tuning made easy: Pre-training rewards and policies for autonomous real -world reinforcement learning,

Reference 28

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source=pdf_text observed=2026-08-08T19:28:39.658280Z digest=sha256:0485945b008e02e3fa8c962778bb9067bdfbfdddfa0034cd1f991ec752385213

Observation 154370b9-41c3-45fd-aff5-641d1c5760e8 · outbound

This paper cites Fully Online Meta-Learning Without Task Boundaries.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Fully Online Meta-Learning Without Task Boundaries

Reference 29

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local_arxiv, observed 2026-08-08T19:28:41.303652Z

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source=pdf_text observed=2026-08-08T19:28:39.743032Z digest=sha256:5ac0c073f27a8ab11035415c59de07e57c2b711df2899a128c2907555ae9bdf3

Observation b7a27914-6f8c-421e-81da-0039ce842150 · outbound

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

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning How to train your robot with deep reinforcement learning: lessons we have learned,

Reference 30

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source=pdf_text observed=2026-08-08T19:28:39.746517Z digest=sha256:6b2c4be1e2b19c22fe3bc0b2bf8b144fba1075faf28ddb38cfa380825ff5b872

Observation 146344e6-aacf-4eaa-bbbb-50fd12b1b622 · outbound

This paper cites End-to-End Training of Deep Visuomotor Policies.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning End-to-End Training of Deep Visuomotor Policies

Reference 31

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source=pdf_text observed=2026-08-08T19:28:39.750287Z digest=sha256:4daa2eb1b2c4f9c584de77249f7c4db0f93ac6edac46affc754567b83f3faa6f

Observation f3972ea6-2715-4ea8-9372-4c0f6ac2ccb5 · outbound

This paper cites Aerodynamic performance of a free-flying dragonfly—A span- resolved investigation,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Aerodynamic performance of a free-flying dragonfly—A span- resolved investigation,

Reference 32

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source=pdf_text observed=2026-08-08T19:28:39.754057Z digest=sha256:5d744106d0b4aedf85c39ee2118b69e8067666cc13b32863e1d2c9b07f85c01d

Observation 6760a119-aae5-46af-8e0c-3d75f9e837bd · outbound

This paper cites Feedback Control for Directional Rendezvous Using Constant -Magnitude Low Thrust,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Feedback Control for Directional Rendezvous Using Constant -Magnitude Low Thrust,

Reference 33

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.757467Z digest=sha256:c840906c173276ac2a4bcf3a9b58279e7ad8ecc8e51552819f51873fb28250b5

Observation 482129cc-4cd5-4810-8bbf-4b95fc284112 · outbound

This paper cites Adaptive Flying Assistance Controller Design to Suppress Nonlinear Pilot-Induced Oscillations,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Adaptive Flying Assistance Controller Design to Suppress Nonlinear Pilot-Induced Oscillations,

Reference 34

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doi, observed 2026-08-08T19:28:41.264631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.761059Z digest=sha256:e6eb8c52b9fff6fb1c92dd21bcdd1fc4107913827129294de5a77205442d67f4

Observation 5df33664-2809-4a5b-903f-7ec9b55b4d88 · outbound

This paper cites New Equilibria and Dynamic Structures Under Continuous Optimal Feedback Control,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning New Equilibria and Dynamic Structures Under Continuous Optimal Feedback Control,

Reference 35

Resolution
verified exact
doi, observed 2026-08-08T19:28:41.253706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.764849Z digest=sha256:a33b728a285a9f6e0a4c6e1a3b7a88768e666af1a58de2c227aeadc89518eb75

Observation 243b9a5b-5095-4bff-bdd0-b8f13778dd93 · outbound

This paper cites Boosted Incremental Nonlinear Dynamic Inversion for Flexible Airplane Gust Load Alleviation,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Boosted Incremental Nonlinear Dynamic Inversion for Flexible Airplane Gust Load Alleviation,

Reference 36

Resolution
verified exact
doi, observed 2026-08-08T19:28:41.233123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.768468Z digest=sha256:64945eb46462f211d7fb1dd442df4647775cb41f1634a5e0ee5117b110231e3b

Observation 539a4137-2457-4dd4-813a-bbfa69fedd0e · outbound

This paper cites Instantaneous wing kinematics tracking and force control of a high - frequency flapping wing insect MAV,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Instantaneous wing kinematics tracking and force control of a high - frequency flapping wing insect MAV,

Reference 37

Resolution
verified exact
doi, observed 2026-08-08T19:28:41.140420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.771397Z digest=sha256:a99a6a5835d4131b98b25bc3e7158664435f74d0ce28f61cad3879f516eb45a6

Observation 6c383d00-ff79-4c9f-bdb4-7a248cab211f · outbound

This paper cites Scalable deep reinforcement learning for vision -based robotic manipulation,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Scalable deep reinforcement learning for vision -based robotic manipulation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.786193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.775550Z digest=sha256:c31fdb88d2e1e57338e0e2ab258619a812fca25a5d6b8422d5f6e3c0071a2758

Observation 8f47717c-c77f-4082-9e53-6fb7f0615d72 · outbound

This paper cites Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:39.779064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:39.779064Z digest=sha256:d96e2fbd0f00d162bfc845625a696ac5b996b0d028207a0c9a52b38483db130c

Observation fca58fc7-2074-49a0-afb8-eec174a85539 · outbound

This paper cites Distributional soft actor -critic: Off-policy reinforcement learning for addressing value estimation errors,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Distributional soft actor -critic: Off-policy reinforcement learning for addressing value estimation errors,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:39.783221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:39.783221Z digest=sha256:7cfe5dfcaf165877d2d2436eb028292f14c73831e08fafc9ff262b4d4e70cdf6

Observation 8bca3bbb-8a48-4d9e-9219-708f6bedbbf4 · outbound

This paper cites Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-08T19:28:41.012350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.786846Z digest=sha256:d42a7a0cfce1606f6f526f6cb15280272488cb202c6175744ec4a6d922d3a11f

Observation 762b02af-4e37-4632-b72c-eefc621303a8 · outbound

This paper cites Twin -delayed deep deterministic policy gradient algorithm for the energy management of microgrids,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Twin -delayed deep deterministic policy gradient algorithm for the energy management of microgrids,

Reference 42

Resolution
metadata mismatch
raw_fallback, observed 2026-08-08T19:28:42.933945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:39.842001Z digest=sha256:934f279f2220ca13a1b969130760dd90bf1ad8b9a3f78392094e349a90e183a4

Observation 6cc85751-73c4-44c7-8546-e762179d0ad4 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Deep reinforcement learning: A brief survey,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:39.964719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:39.964719Z digest=sha256:f144dc8518d7156707ee52d0d1e0e705bd3c047ee9a4a4d87dce22c66db85860

Observation 883e8f6c-9aed-443d-a33a-ac8e907e3605 · outbound

This paper cites Optimal and autonomous control using reinforcement learning: A survey,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Optimal and autonomous control using reinforcement learning: A survey,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.778271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.057574Z digest=sha256:6659084a993e3cca6fbd0b5c7cfefdd77f95c2099a7b30c856a00afd864ed344

Observation e3718413-1862-4e0e-9dbb-3e712ba89bb0 · outbound

This paper cites Formation control scheme with reinforcement learning strategy for a group of multiple surface vehicles,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Formation control scheme with reinforcement learning strategy for a group of multiple surface vehicles,

Reference 45

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.959415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.176857Z digest=sha256:be6687aaa7976bd4deb326d3cffb464ddb12959668032bf56a5753db559c9582

Observation 27a0af66-9962-4d02-99de-d8b02c2f981d · outbound

This paper cites Reinforcement learning ‐based optimal trajectory tracking control of surface vessels under input saturations,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Reinforcement learning ‐based optimal trajectory tracking control of surface vessels under input saturations,

Reference 46

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.945876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.180834Z digest=sha256:603fdc70b7820f366ca93e37635fd572665e86049526be20ae605057e9c17d1f

Observation 291bfed2-8d12-43c4-a708-73cbcb966312 · outbound

This paper cites Real -Time Model -Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Real -Time Model -Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.770005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.184237Z digest=sha256:3635e6e1bb95a4430348c4c763fd5978333da4f2cb551a80345c29fe66e156df

Observation 6613ad0b-ebb9-4d79-a4f7-5b91ad3b7b02 · outbound

This paper cites Learning real-time dynamic responsive gap-traversing policy for quadrotors with safety-aware exploration,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Learning real-time dynamic responsive gap-traversing policy for quadrotors with safety-aware exploration,

Reference 48

Resolution
metadata mismatch
raw_fallback, observed 2026-08-08T19:28:42.792696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.187404Z digest=sha256:588d89cbbff27c08ba982f1dd1fea5900beb2556ac7d8915b1494760e678b3ba

Observation 7513a1c2-33f4-4ef8-bb43-fe343c588906 · outbound

This paper cites A Real-Time and Optimal Hypersonic Entry Guidance Method Using Inverse Reinforcement Learning,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning A Real-Time and Optimal Hypersonic Entry Guidance Method Using Inverse Reinforcement Learning,

Reference 49

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.935397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.190555Z digest=sha256:32fef46931ac1c3e331315aadb978ae26225cc939e45eda14cdfe2db8ba89bb2

Observation a3d2f76e-4f37-43ce-8b10-ee1efa51d20f · outbound

This paper cites Realizing a deep reinforcement learning agent for real-time quantum feedback,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Realizing a deep reinforcement learning agent for real-time quantum feedback,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.193786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.193786Z digest=sha256:61339338c27d0a7100cd65fa35033a4b3eec5464a86d1dba30f055ecab059f6c

Observation 85a44293-b20c-43a2-aa11-7f9ecacea931 · outbound

This paper cites Online Corrections to Neural Policy Guidance for Pinpoint Powered Descent,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Online Corrections to Neural Policy Guidance for Pinpoint Powered Descent,

Reference 51

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.917264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.197256Z digest=sha256:8f5eca5f27fc726d64a0fe519a823b4c8dd8bcaf7aacc9cb812ac650b74cf74a

Observation aa95192f-d478-4bad-b7fe-9878f01741f8 · outbound

This paper cites (More) efficient reinforcement learning via posterior sampling,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning (More) efficient reinforcement learning via posterior sampling,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.760742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.199823Z digest=sha256:d6c21ad6e1381a6e6f7692f7613ed1d52ed1ec924c11ef8c7bc39dd36bd432bc

Observation 0a5bf524-6a65-4b29-8f8d-b09cdde864c5 · outbound

This paper cites Neuroscience -inspired artificial intelligence,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Neuroscience -inspired artificial intelligence,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.203119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.203119Z digest=sha256:634260b3eb237e4d24c24cb891601714a92e88bf3ae645b767fcb1e3c8c44681

Observation 6a8e3115-e529-4071-abad-40f5a162f3f0 · outbound

This paper cites Evolutionary implications of neural circuit structure and function,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Evolutionary implications of neural circuit structure and function,

Reference 54

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.898806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.205804Z digest=sha256:db5047b78624043ec9eaed6b946d3f4b54e89755d17de6302b3f8f76415356d9

Observation 12a44e91-cf46-42a7-8fee-19667e7c2ef0 · outbound

This paper cites Neural adaptation in the generation of rhythmic behavior,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Neural adaptation in the generation of rhythmic behavior,

Reference 55

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.888547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.208615Z digest=sha256:49a1ec5764cafb6a773a9f9fe3ebac77ada6bf856c58fdf98a2d04c63cd800e6

Observation 74ef64ee-2893-45e0-b82f-ee00764f7cc4 · outbound

This paper cites Learning contact -rich manipulation skills with guided policy search,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Learning contact -rich manipulation skills with guided policy search,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.751545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.212382Z digest=sha256:26944e8e5dfd3d702788ae5eca271076e2c98b7147129aae89d8ccdc221585c5

Observation f8287fff-720a-4a16-9263-6d3adcc429e5 · outbound

This paper cites Reinforcement Learning Control of Hypersonic Vehicles and Performance Evaluations,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Reinforcement Learning Control of Hypersonic Vehicles and Performance Evaluations,

Reference 57

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.878018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.215965Z digest=sha256:891c1703449bf2b39d7feec46f5c2ad8c0d0bcfc70bd3fe63e58e7b95965c9ee

Observation fad64118-9e7a-4723-a3b7-7b6a5d22b099 · outbound

This paper cites Deep L 1 Stochastic Optimal Control Policies for Planetary Soft Landing,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Deep L 1 Stochastic Optimal Control Policies for Planetary Soft Landing,

Reference 58

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.866538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.219514Z digest=sha256:207376426051edfd89983c0eec04c8b091b752c2e8f8cbf76d66dfb1bfa19b35

Observation c18dd54d-8027-4a9a-8666-69645ef67ae3 · outbound

This paper cites Autonomous navigation of mobile robots in unknown environments using off -policy reinforcement learning with curriculum learning,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Autonomous navigation of mobile robots in unknown environments using off -policy reinforcement learning with curriculum learning,

Reference 59

Resolution
metadata mismatch
raw_fallback, observed 2026-08-08T19:28:42.727484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.223076Z digest=sha256:1326dec58577d800a3b45494e5672df8c366c491944673de77a3f201131a524d

Observation 1bbad80f-ddaa-4f76-bb14-95ea47de45c3 · outbound

This paper cites Adaptive policy learning for data -driven powertrain control with eco-driving,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Adaptive policy learning for data -driven powertrain control with eco-driving,

Reference 60

Resolution
metadata mismatch
raw_fallback, observed 2026-08-08T19:28:42.634647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.226555Z digest=sha256:18e213b5f88faa683fd394584cdc0ab58b362c197cb175e5ce8dd1587afc5853

Observation c29def16-03a9-4a2f-adb8-ea33c76c5e9c · outbound

This paper cites Toward biomorphic robotics: A review on swimming central pattern generators,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Toward biomorphic robotics: A review on swimming central pattern generators,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.230427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.230427Z digest=sha256:bceb23ba46956085c18a16dc3712cad604c78b1f389ccdf0c27d7b004180409e

Observation 8eefd2fb-9cf4-4473-b37e-7264e10e19da · outbound

This paper cites Development of Minimal Biorobotic Stealth Distance and Its Application in the Design of Direct-Drive Dragonfly-Inspired Aircraft.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Development of Minimal Biorobotic Stealth Distance and Its Application in the Design of Direct-Drive Dragonfly-Inspired Aircraft

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-08T19:28:40.803689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.233461Z digest=sha256:2b0e2e8abe5b810b7a0ac4ed4f8da1114d0319ea81fce2056b8afe2f82b9a625

Observation fd395795-3714-4be4-8c99-5d654f6e9b32 · outbound

This paper cites Application of an augmented Lagrangian approach to multibody systems with equality motion constraints,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Application of an augmented Lagrangian approach to multibody systems with equality motion constraints,

Reference 63

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.736488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.237345Z digest=sha256:54ed1c4ac67d3f0d71feb223d613128e2238b1fbbe1c0a8288c3f5756a983daf

Observation 902d17f5-f50a-440b-9c34-38a1238092af · outbound

This paper cites Hamiltonian formulation with reduced variables for flexible multibody systems under linear constraints: Theory and experiment,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Hamiltonian formulation with reduced variables for flexible multibody systems under linear constraints: Theory and experiment,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.240844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.240844Z digest=sha256:81ad693c80e35ba7b0ae6e466749fb94d7e51e656a396e8d47f7d976bf9e3d08

Observation bf59faa8-5357-4d5a-a81b-a832b3d57e26 · outbound

This paper cites Adapting Rapid Motor Adaptation for Bipedal Robots,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Adapting Rapid Motor Adaptation for Bipedal Robots,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.694198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.243886Z digest=sha256:2fb689baca530846e28761a247d8bf707c0082ca93bac7ac1acd7170f00fbcdb

Observation 9ea6f58e-de0d-4a97-9659-18410cf1ab67 · outbound

This paper cites Rigid -body kinematics versus flapping kinematics of a flapping wing micro air vehicle,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Rigid -body kinematics versus flapping kinematics of a flapping wing micro air vehicle,

Reference 66

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.695763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.247996Z digest=sha256:d2b890e1a9edc2abeaae812f386b147503bd12e6deb096ba2376a0e65b070755

Observation 9521dd4e-9a26-417f-a2eb-2d0fe3c73540 · outbound

This paper cites Prescribed -time convergence with input constraints: A control Lyapunov function based approach,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Prescribed -time convergence with input constraints: A control Lyapunov function based approach,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.617728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.252152Z digest=sha256:dc5f869525274c34ecc6344f7175db81bad9636a7c0b8f4103a3562d3765e207

Observation 06c18c9f-91b6-428b-888c-ce52eac74387 · outbound

This paper cites Deterministic policy gradient algorithms,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Deterministic policy gradient algorithms,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.607577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.255041Z digest=sha256:f0675c3d310703c037382b0361fb2de1cc2e0fe19aa2164aec1e456e200e5517

Observation 0b7144e2-062a-4dcc-bf7d-9eb2ead43f90 · outbound

This paper cites S., and Barto, A.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning S., and Barto, A

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.598874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.258302Z digest=sha256:0e12ad0ca3a023fc638ebf5cfff9abddd882f115f297b333e8d2b31d49bbddec

Observation a6d7ce56-79e3-4154-830e-ef74a111eb77 · outbound

This paper cites A tale of two -timescale reinforcement learning with the tightest finite-time bound,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning A tale of two -timescale reinforcement learning with the tightest finite-time bound,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.589583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.332414Z digest=sha256:954f49663f5d5dbee7883f6b2848dab3e9412b9a5f79967b528d4c5a5e43397f

Observation 565713d8-7f4f-4472-adb9-4aba809b82f5 · outbound

This paper cites Sample complexity bounds for two timescale value -based reinforcement learning algorithms,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Sample complexity bounds for two timescale value -based reinforcement learning algorithms,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.579136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.435073Z digest=sha256:95fe5a45af78c8f9c88feac694b490d5a87dd29234d81afe6ee10761db581434

Observation 5613eed1-563c-49ae-8c58-df4b5b8dd30a · outbound

This paper cites Dynamic load balancing for real-time video encoding on heterogeneous CPU+ GPU systems,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Dynamic load balancing for real-time video encoding on heterogeneous CPU+ GPU systems,

Reference 72

Resolution
metadata mismatch
raw_fallback, observed 2026-08-08T19:28:42.411265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.515277Z digest=sha256:b759a6497f14bcfa5f77b768c4749dfacacbaf6d2c4f4bb7665b30e02227ea75

Observation 47be5a38-5243-4f4a-a84a-4254d16ed79c · outbound

This paper cites Unified stability analysis for Itô stochastic systems: From almost surely asymptotic to finite-time convergence,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Unified stability analysis for Itô stochastic systems: From almost surely asymptotic to finite-time convergence,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.556128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.556128Z digest=sha256:7445b9a9da8991ca91cd6188742ec3a79860d231471a2405f0a6f46b8e0d8eb3

Observation 8ee8c703-7dbf-41a6-86ca-bb72cad1e0d6 · outbound

This paper cites RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.559182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.559182Z digest=sha256:a870a570e483db6333b75fb42872c5c3858a5eddf3a77b9adba2adffd54f0c35

Observation d745b17e-f95b-47af-bf12-c82fc90d3475 · outbound

This paper cites Evolving Reservoirs for Meta Reinforcement Learning,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Evolving Reservoirs for Meta Reinforcement Learning,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.492999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.562936Z digest=sha256:a54f40632772ad42b833f3bb18d948919713d59a04bd83f8f91b28f1e4b05e13

Observation 046e1ba3-ae76-4ed9-b1f8-0cc2e0aef36a · outbound

This paper cites Mitigating Time -Delay in Nonlinear Dynamics Inversion for Multirotor Unmanned Aerial Vehicles,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Mitigating Time -Delay in Nonlinear Dynamics Inversion for Multirotor Unmanned Aerial Vehicles,

Reference 76

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.684564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.566440Z digest=sha256:68cfad7755822709687d0be4eff871944f5f1086720e785f7bb234291dfb18d9

Observation 01761c96-b4c2-4983-9e0a-f221827e7b9f · outbound

This paper cites Vehicle yaw stability model predictive control strategy for dynamic and multi-objective requirements.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Vehicle yaw stability model predictive control strategy for dynamic and multi-objective requirements

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.455959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.570258Z digest=sha256:e47ba1026014964ce93b19e83e3489926c7b8e0355a5d1969e8aa5372c874242

Observation b0e01a65-b17d-42cd-9e93-4021b7950582 · outbound

This paper cites On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.574549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.574549Z digest=sha256:3308943dcdc74a4503208cdef6eaf497ae2a94e81218fd700c47dcd5c4b4bf4a

Observation e8919edb-0639-4019-9411-0b84b007388c · outbound

This paper cites Array programming with NumPy,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Array programming with NumPy,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.578604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.578604Z digest=sha256:d38fd5b73bc232d9345b393e70ae5ecf7e5fc6b231fe8629f5798df2a7094485

Observation 5b0f7031-3a69-4994-8fd8-470623e7beb3 · outbound

This paper cites Flexible multibody impact simulations based on the isogeometric analysis approach,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Flexible multibody impact simulations based on the isogeometric analysis approach,

Reference 80

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.654923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.582188Z digest=sha256:3ddd5cbcfd8126f37c8d19e7e0f17ec553238d95a70656d5941055d8405119e0

Observation 0a0a4600-0506-49c4-a3a9-a625a2590d37 · outbound

This paper cites Simulation and stability analysis of periodic flexible multibody systems,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Simulation and stability analysis of periodic flexible multibody systems,

Reference 81

Resolution
verified exact
doi, observed 2026-08-08T19:28:40.643178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.585544Z digest=sha256:328264a4f3c25c0fe04bb6f745dc73fca4730d581cd6e84efed36af8e5abeb16

Observation 6385f7dc-0bc5-4ba9-9ce9-2077ad227f38 · outbound

This paper cites Symbolic discovery of optimization algorithms,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Symbolic discovery of optimization algorithms,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.446878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.588870Z digest=sha256:c5a551ed0c4a0fd53389530752a217d7d204a0f3f8b4a9f69aad541ed576e6d9

Observation 9665fef5-4d46-4cf3-a67c-c2645ae562e8 · outbound

This paper cites Combined MRAC for unknown MIMO LTI systems with parameter convergence,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Combined MRAC for unknown MIMO LTI systems with parameter convergence,

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.592424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.592424Z digest=sha256:07e0112875efc049b7012cea6d81a06561c6eb4af9570fc142bf36b7eec4c6b3

Observation dfe701d8-6d1a-46d2-bb7c-e42b6ca81f28 · outbound

This paper cites An at -scale tailless flapping-wing hummingbird robot. I. Design, optimization, and experimental validation,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning An at -scale tailless flapping-wing hummingbird robot. I. Design, optimization, and experimental validation,

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.595913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.595913Z digest=sha256:81f45e28d41e1f77b1193759dc5c79cd8b0ec23708fff4c48c7f06fbfb0197cf

Observation 4344c9f8-096d-4bd5-a537-45e7266216a9 · outbound

This paper cites Design optimization and system integration of robotic hummingbird,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Design optimization and system integration of robotic hummingbird,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.438189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.598680Z digest=sha256:45fadea10c93580e0c81635c3646050c7117b8334e81c1febe2cb808a4f0f092

Observation e3e52ec3-84b6-4912-b5a9-f79897c7b90b · outbound

This paper cites Flappy hummingbird: An open source dynamic simulation of flapping wing robots and animals,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Flappy hummingbird: An open source dynamic simulation of flapping wing robots and animals,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.429188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.603107Z digest=sha256:a7737d9bdf7a23e2ba3a4a478faf9abbff06a25a16f54c0f5c96fc6464ffad8e

Observation 7a3a7b58-0497-41e9-8c82-26cffe9a11a8 · outbound

This paper cites A flight strategy for intelligent aerial vehicles learned from dragonfly,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning A flight strategy for intelligent aerial vehicles learned from dragonfly,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:28:43.419515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T19:28:40.605846Z digest=sha256:1796fc5eb7307bc6724b5c9f35a0315c26886884f3c82744a5cd44700b3b1ac0

Observation 34cee3a3-84b3-4059-b470-93c95983e544 · outbound

This paper cites A survey of imitation learning: Algorithms, recent developments, and challenges,.

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning A survey of imitation learning: Algorithms, recent developments, and challenges,

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-08T19:28:40.609098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:40.609098Z digest=sha256:4ea26aa2dcb17d293f8d96a2eb18cb6f9bf1edc11fc2ab12062608a477c5d803

Pith citing papers

No inbound Pith citation observations are available.