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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.042987Z digest=sha256:a8b9a5ff5193be46c27a5c17a9bdc32567bf2a171cded286983423f72c5ffc4d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.046614Z digest=sha256:128da527651ac06dc2311f9da20d4c415a13e82d1c8a5376106057c81007132c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.087381Z digest=sha256:e93a82572cae40951c38fe1f9b105dfd17cbc57e1e275cd6d8c19dffb8e61b67

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.190612Z digest=sha256:3a56ea3a30f14f8211828df8d9281c5f20eac4377291285f58aee7a2e38cb401

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.243269Z digest=sha256:bcb91affd1f4c3b4f7eab1bf71b23412736d4e5e571dac6ad7365dcde636fe1c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.369066Z digest=sha256:ad04527d53b982ae4e3a0d7dc84309ad2a156f0b60e40f88d4679cc5ffb6d7fe

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.391572Z digest=sha256:e3d56c992d1afe35d066fb9eb48caf06eb656e0125f5187edd4635631145608e

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=sha256:7cdc6958b06a10d47655081f1e8f970a0d7995a71c2923d66b002ec075895b74

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:bf209fb0ce9386816549c69b50f051e003b15d8f2b8c0f219870ee8eed50e060

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.411883Z digest=sha256:41279d1f6db3eaed5d01797fedc14d9cbeaf65b12b29e7f6bcd4854565f2309f

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:e0b85e481e23a37ac9ba71aa8aebbebd8c4fee1cee0286d320fcaaba79e2677b

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.551723Z digest=sha256:483e7215a6f3a5f8e4ed568e91aa932326cc0764d6776c58f3d2e38ea0af7e0f

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:c33fae8b65b753d91bacda7c34b379acee6f48a4adc9d6b73b8fea400d8fa8b9

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:d0b6346117ea2fbcbb158f06c78599cc759b7b348fc48c77b8f84a1f99cff064

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.561884Z digest=sha256:cd3a688cbccad3912cdedb8ffe48067c6672c86cd360f1d2efe06c51775b65c6

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=sha256:4e90c96e5d6d76337799cbc4528f2f75479822e22f23fb07d23082320ba266e3

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:dc21b393311008d3875c5367fe52020589d09b21f2a31d7a46e81850d900f96d

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:c3fcce8b60cebeeb9787256dc02cca5d745f7b13d335532eec4c965e68f2d3aa

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 2026-08-16T06:30:59.297886+00:00.

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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=sha256:90c58b73cd05e3993e4615e3aa6a7a2429db15e620ad4a048b928a8307e6e122

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=sha256:512db85feb2753bc6e702547a644def29d47229fb2694514343db1c124c06deb

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=sha256:5060c7269a53555046f8da65bef17b9a3b8ebfa26803cb59c5885993310b4244

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:ff122c3ccc054ae3ef39a267c83616ec27ebcee7a81ff954596b937b40ed6df8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.596518Z digest=sha256:f4e748505a1fcf5b463c092d503d6d32f0eb21695c32cadf2639fa228b143de0

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.600163Z digest=sha256:b41ad66ca298acae58eb68d1c14a84a2ac1010b27efa7bafc52d26edcfafde1f

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:ada73bc628d977b0880b9f146ca727355fb759730ceb69505b082f726de911d6

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=sha256:16965df2a511f9796e0d99ce50da7ee7944db2232e020a48ad90d8c929e42d2e

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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source=pdf_text observed=2026-08-08T19:28:39.743032Z digest=sha256:198d8ed8c9ab48db2f7592db490e81934b1990bc94dca40466ec677978339e26

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=sha256:904fe94b7cbb702b6a6a46019bfc2700ebffcafef7305149bf48c176671604d0

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:b96229acadc92ada933a45d8d35e311640e32f35a7a1e7cc548e817112fc9831

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:d6e1f98f1a28721f829e8e5b7735aa41ba4450cab4ae6db3b4fa324e98f83aa8

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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source=pdf_text observed=2026-08-08T19:28:39.757467Z digest=sha256:269393899c75f67129ffd15a548b93292d36065fe4ced96471b4f5af6509b21a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.761059Z digest=sha256:39854d330ff80f2f21a1834b2b71ea2b3b4eac10daee9bb324ed8d71c461b37e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.764849Z digest=sha256:7ed8bf2b91aa75a9a4faae585cf7bdc306a263399348c5358190d5de8f4c3ee7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.768468Z digest=sha256:e247fe52c1faa3b546743706e1baa16b434f774fb812b41e226dd8023e12add5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.771397Z digest=sha256:e09166b6560be509314d40f571b0d3c20fb696c747acbe5fbcea8534fa3d0daa

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.775550Z digest=sha256:03b2227328fa5afc53eb91e9c6fe14bff4eef291842e8fb8bc6c83d8c184d7a2

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:ed6b72fd35685d1185ecc5143805e578ba453460efd3f414b8176c5ec1eb188d

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=sha256:31fcba32ef3a2be15506b800858a8d8ef849196c954f0f308eb9f95d4d6a1786

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.786846Z digest=sha256:c5fbc3aa9d5f927e3833339c3619dc6b3fa67e195dfd0bedc2e4906f2ed36397

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:39.842001Z digest=sha256:0ed23dd25bd180048c3e0b284d7b19a65d5e4104179e05b4f493f42e5c33b440

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=sha256:75fa58316b9fa8746b45a09e10c885c4246993ded727263ae01c2e98c7ab5ce8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.057574Z digest=sha256:ddcd3cc5e280ee3915c13259ba90decd5d44cadf896cd62f86565a96c0891a97

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.176857Z digest=sha256:446ddb741f00277b8417d346eaf6e185f6b8e7e75734b95b4bdb7ce00b15c080

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.180834Z digest=sha256:d5d8aed7da13c1a7591acad271eb9d620fdc486cdbfecb8de8b1efd3baef5074

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.184237Z digest=sha256:27d6c5d0b2e917bdbe63b533c89bb053b3a5a9d30f2de06ee27b7f8712e4fae1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.187404Z digest=sha256:08e2215ad27dbcffaf063772057896475ae143121cb583cb056f09bc529933b8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.190555Z digest=sha256:7a8c7773ded65dfd10cd1860a4bb5932f14007bfa59f39dc4a0ec4218cfa07c3

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=sha256:56e385b83956630eb2b7a189e6691fcdfd8c13c374aac9657b5a9caee78560a3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.197256Z digest=sha256:40638fbfda35641a8861387eefb162962642cda48ea10d3d53920116e903d6b5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.199823Z digest=sha256:26aab3d4d6c0a6a335c15608320470143730cf2ea950b219bb13d976bc48427f

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:ec37f24855b8f817e2d3d303705464562f17d926997ffb0e8579e380f04762fc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.205804Z digest=sha256:9d12e27b89a2ee8572e2ae94b6071b2ab3b67b431314dd32ca0b09ecc2091a45

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.208615Z digest=sha256:9c2b14f440fc78bf893ea55573e836195c6eb4a4a879f55cb725002e41b1f2f7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.212382Z digest=sha256:42c11f104004396e9e77a6bf53a2f95e7c62df12a9d426b5657a21f9b5a9768b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.215965Z digest=sha256:175f4568e9528df8af23523f3711b1b9fb9257738ad555feae5ad2a46194ae2e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.219514Z digest=sha256:87ff93cb682a12b5614392f84fbf58134d3334e5534418ff8aa59bc294b1f12a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.223076Z digest=sha256:06f7a1d195d7e542d7d1b416d3f6b989b2441e3ab622626d412ea901681a068c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.226555Z digest=sha256:5adb7a2f73416df88070e8ca3ab8625dbfc4affe9f08be9f5a8ddb1f2cfa4a17

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=sha256:79cdd02d80275ae362a785034a2f8e45a96ff3139d8107e432d8b9d1c091cc00

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.233461Z digest=sha256:ece9f55b13384a3b6cbcd3cc01b44c472fbd41df028f3d6e28957a7cd6ab4403

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.237345Z digest=sha256:86e9747fe3b83cc3721e0448ffb5a3d6399132c18b629214f9439e51bed10954

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=sha256:8117a05887071764acd08c0669f9fc47a5b61347b06930a10cdbb8f5d35bb857

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.243886Z digest=sha256:d7ae12edf642bde01f6ec72a7b284a9149c38f53936116547ff833bf42810069

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.247996Z digest=sha256:c8535dc03c4780d768b9505f79db417ea69ccef483aba77b1b56727ee587ad4d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.252152Z digest=sha256:f0d4594dbca3ffd9b8bceca2f3000e90d655d9626d4d9a3c2a263cd673a3fa69

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.255041Z digest=sha256:55127cf2be16e5b779a27a977e5dce2ebacb7ad26115342d39da153c03b983b1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.258302Z digest=sha256:2a1b28894e40e2d164902b8abff7c78e00580dbc1232b6231e1a24463119afae

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.332414Z digest=sha256:fc494400f501125b0d2cdce9f5fb563f0e162429b528e88defc6f1858ea80c86

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.435073Z digest=sha256:653d4a25b5130b906409d8f8ee6e3cdcb8d88cff49b8b8fc5d37fbc41f34310c

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.515277Z digest=sha256:9582b4107b4ce37ed1f40a95eb8bd74e6675075543fb81465a84df01c22c2f70

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=sha256:75b4cdbbe31a05b310793b9068aad59671eaafbfb1fb267344f8ae8fec071b43

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=sha256:51a224fc6219df19afa3f7fe163869fde3e9a70234b9598247e34166a0267003

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.562936Z digest=sha256:f1427c9c281f01f15c12a690f37940a10b5f263c5e5deb2cc4892c0ea3678b57

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.566440Z digest=sha256:bda0cb41f5908af9e39a6706003b679519a9d0c6c51d296cce86df6844f36624

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.570258Z digest=sha256:2bc1a125782d865bbf10e1067f815387c71a40877e4be0c8305ed08e6089def3

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:e1a0b7e0266329803d1ddd5c9df68f3246793337961e07a63e9da5bf63d57690

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:d8b4b861e578dc6f5d1e999199c9a4055abac15bd570b8c165fbe26ebaccfd34

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.582188Z digest=sha256:38ce03c9dfc3b526bf9d61653de27e12476df9b39eed48aa08f819e24ca04ff0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.585544Z digest=sha256:86d97139e6daba5826d93452fa75039ddec24386ab4ab31ac3c3fc4d0ddc6c11

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.588870Z digest=sha256:55b29d4978aaed7e9c6b8fc280b5bd053f614e22b470e3bcdc22be5f567b15d7

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

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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:efb67102afa5c2dcfec3fcdfd4bd97fa008760f254d694c33c49d563fe26c4d7

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:f0c4fb91cb052fbab96f7d0849dfe208b0cec25ebf75978054226e2187dc1318

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.598680Z digest=sha256:d9f39b1d8580221dc749428eeb4450bb12ffc7c4d3f3424d221ec35e7f874b08

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.603107Z digest=sha256:d88591b77978a985bbed2d33d0c09e0d992f86a856514d50d506a4d764004235

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T19:28:40.605846Z digest=sha256:9446495929f20089dacd2ec6457b0aaa32a2cee436e78fa7b49c64e6366662af

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

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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:d2047c4da9032b66eecdee7b461dcc26bcc51f37f4fde5c2e6daa4102fa7178e

Pith citing papers

No inbound Pith citation observations are available.