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Paper Citation Record · LEDGER

LOTUSim: Multi-Domain Simulator for Marine Robotics

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.03072.

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

pith.paper-citation-record.v1
2607.03072 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:05:36.578922Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

43 of 43 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd28e09d-733e-4f2d-97ea-249551a80f9b · outbound

This paper cites Symbiosim: Human-in-the-loop simulation platform for bidirectional continuing learning in human–robot interaction,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Symbiosim: Human-in-the-loop simulation platform for bidirectional continuing learning in human–robot interaction,

Reference 1

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:19126b27693764031ee41754a0759717970824c58ae721f492b03e391ba4fd84

Observation 687d053f-2c11-4b26-9edc-595a6e3068e6 · outbound

This paper cites Marinegym: A high-performance reinforcement learning platform for underwater robotics,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Marinegym: A high-performance reinforcement learning platform for underwater robotics,

Reference 4

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:23e2a2d817db62fe08552cb640b3ef7078a5a2a36d94f0a84bbf4bdb96f26852

Observation 3088208f-8ae4-4f5f-8779-044b3b0d13d5 · outbound

This paper cites Stonefish: Supporting Machine Learning Research in Marine Robotics.

LOTUSim: Multi-Domain Simulator for Marine Robotics Stonefish: Supporting Machine Learning Research in Marine Robotics

Reference 5

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:2834b214c5d57bd41d226aa0c4f57bcfccfbe26c06e2d65b347f9f7582f8b34c

Observation 3fd31e1c-72ff-498e-aeac-fa6ce02df720 · outbound

This paper cites HoloOcean: An underwater robotics simulator,.

LOTUSim: Multi-Domain Simulator for Marine Robotics HoloOcean: An underwater robotics simulator,

Reference 6

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:bdc40dc257960fc2e6f42081cfbc0fd6a619e615edc7b1f27d6331c4a4fd8f9e

Observation e2564927-74c1-441b-8469-0a96aecdf235 · outbound

This paper cites A preview of holoocean 2.0,.

LOTUSim: Multi-Domain Simulator for Marine Robotics A preview of holoocean 2.0,

Reference 7

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:f24a2c10cc8caca1e6414fc4e680370650bce11a16b0a574ffdbdc660cf5b53d

Observation bc40e265-7338-4046-bf63-5ff533f195c4 · outbound

This paper cites Unmanned surface vehicle simulator with realistic environmental disturbances,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Unmanned surface vehicle simulator with realistic environmental disturbances,

Reference 8

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no resolver link, observed 2026-07-12T05:05:36.578922Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:cf8359180d231fb034ad9f964a3c755860ef59bb638dafdb9f1c3a9ce6feb943

Observation c07df005-8e3f-4b21-9083-fd45f6c7017d · outbound

This paper cites Available: http://dx.doi.org/10.3390/s19051068.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.3390/s19051068

Reference 9

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verified exact
doi, observed 2026-07-12T05:08:30.703486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:6688a041df295aa0ea253a722976a9bdc2ef6ed6d77f52880fa9d829c7340dbf

Observation 74c59da5-6235-47f1-a9f0-4af1ffe3a3e2 · outbound

This paper cites From Concept to Field Tests: Accelerated Development of Multi-AUV Missions Using a High-Fidelity Faster-than-Real-Time Simulator.

LOTUSim: Multi-Domain Simulator for Marine Robotics From Concept to Field Tests: Accelerated Development of Multi-AUV Missions Using a High-Fidelity Faster-than-Real-Time Simulator

Reference 11

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:cda95d7e9cba3633d73d78786bf336ac5c40762167b5057fe8d7a7eb65db12c6

Observation fb49da49-cebf-46a2-af6b-a90e5fe0f17a · outbound

This paper cites Uuv simulator: A gazebo-based package for underwater intervention and multi-robot simulation,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Uuv simulator: A gazebo-based package for underwater intervention and multi-robot simulation,

Reference 12

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:4c43edb2fb5f8c3decdeb2d4018923ef6261cad83d089c8bb215e9f219b9772e

Observation 0b7d0789-0dab-4f02-a299-b941d1ab3c47 · outbound

This paper cites Dave aquatic virtual environment: Toward a general underwater robotics simulator,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Dave aquatic virtual environment: Toward a general underwater robotics simulator,

Reference 13

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:f6affbf8f71b5bb22c13644309ffd4519071d54532caa33d3fb4935eeab51e24

Observation 89cf9d21-98fe-483a-8dfe-94460283dafe · outbound

This paper cites DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator.

LOTUSim: Multi-Domain Simulator for Marine Robotics DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator

Reference 14

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:dc44696b5851f1d8f33a43d3ed264970668e7d704db2590e57a3ca9f94dc8729

Observation 87cd832a-5416-48fe-aca3-40de3ce9aeca · outbound

This paper cites AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles.

LOTUSim: Multi-Domain Simulator for Marine Robotics AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Reference 15

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:31e417f09051e6ac297b168d5191f8a33093e8c28fda15e94b6c053caffffe1e

Observation 544a6a51-ae84-4db4-ab13-ad28d743cb88 · outbound

This paper cites Empower Entity Set Expansion via Language Model Probing.

LOTUSim: Multi-Domain Simulator for Marine Robotics Empower Entity Set Expansion via Language Model Probing

Reference 16

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:57663ee6c4a825935ae0c11ad8d00d5be62cdaa3201df50cc97ced9d5305ab9f

Observation d3cf8952-6a47-476d-a79e-42d885abca5c · outbound

This paper cites A tensorial approach to computational continuum mechanics using object-oriented techniques,.

LOTUSim: Multi-Domain Simulator for Marine Robotics A tensorial approach to computational continuum mechanics using object-oriented techniques,

Reference 17

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:6031498b6d8c59925aef3fd4d4a39830e8dd692517026723bf8968fcb3950ab5

Observation d5f634b3-d175-40c0-914f-ba328fe874e7 · outbound

This paper cites Available: http://dx.doi.org/10.1063/1.168744.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.1063/1.168744

Reference 18

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:84ce4db41389da9405a787724be469e819177fc73984d13c18a8bf43ac0b2620

Observation c459b541-8d88-4195-b9b3-3ee94f6cce50 · outbound

This paper cites Quadrotor flight simulation in a cfd-generated urban wind field,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Quadrotor flight simulation in a cfd-generated urban wind field,

Reference 19

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no resolver link, observed 2026-07-12T05:05:36.578922Z

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:edfaff4bc2ac3a0dfbbf45eaee36d1b6c8ef9cd97ef17b3b89e5edb151c6d356

Observation 1a3ac777-d25f-4afa-9238-3a8a72c52ba1 · outbound

This paper cites OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework.

LOTUSim: Multi-Domain Simulator for Marine Robotics OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework

Reference 20

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:0b793f3422a4d840631e6e7844970eb777b3aec11f58ec2597349763d8fd2fe1

Observation 7767a45b-fd41-4967-aa37-d6d8f5076e78 · outbound

This paper cites Unav-sim: A visually realistic underwater robotics simulator and synthetic data-generation framework,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Unav-sim: A visually realistic underwater robotics simulator and synthetic data-generation framework,

Reference 21

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:a0d20df4927bd9cc9c6b709011be3849a609aef11e60d1a47bf1af6f90db479c

Observation aef6d0f5-8869-4aa5-a326-9b5b1d11f5dd · outbound

This paper cites Open source simulator for unmanned underwater vehicles using ros and unity3d,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Open source simulator for unmanned underwater vehicles using ros and unity3d,

Reference 22

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verified exact
arxiv_id, observed 2026-07-12T05:08:30.718096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:11b74d252f8e7482d8911f87f5cec6b055c184bc86bfd92ab3fa2af391676d98

Observation 3c580aa3-4e0d-4490-86d5-1fdf7b660ead · outbound

This paper cites Ferber and G.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ferber and G

Reference 23

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:3806a9cd72305a1f1bb9d987ed7f454a43c5668ad946a28a6df62c75fec915bb

Observation 074f49d4-e1ac-47cf-8bda-80ecb1afc88b · outbound

This paper cites Ros2 and ignition: Towards scalable simulation of distributed robotic systems,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ros2 and ignition: Towards scalable simulation of distributed robotic systems,

Reference 24

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:590d84263d589df88ea11b1d5df5b1f0a8aaebd6ed14949c6d1066b6aea6a3d6

Observation 0a6f926d-243e-422b-8ab5-6d18a85cdd4f · outbound

This paper cites Effect of frame rate on user experience, performance and simulator sickness in virtual reality,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Effect of frame rate on user experience, performance and simulator sickness in virtual reality,

Reference 25

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:ec877064ca7b4c5e31dd92349e44ab90bd3ce2cb6b417a3f4c257f57deb80883

Observation 7ad39ef5-ea78-4b3a-8ea8-c79ac463262e · outbound

This paper cites Perceptual thresholds for display lag in a real visual environment,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Perceptual thresholds for display lag in a real visual environment,

Reference 26

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:c53f961c162e15459063737fcb8749c4efd69c5439f58a09bd04dc52fcf900bf

Observation f704fa37-fbc3-4469-9c01-d62298a63ac6 · outbound

This paper cites Embracing the lag: Real- time challenges in multi-agent systems,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Embracing the lag: Real- time challenges in multi-agent systems,

Reference 27

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:de5451d3e2a2f6299a9c79e0b954fb106687f0543918e47009cd4bf8dc9c7997

Observation e523c7ca-69e6-4a66-b0ef-6c00f6512ddd · outbound

This paper cites Ekman drift currents in the arctic ocean,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ekman drift currents in the arctic ocean,

Reference 28

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:185c71d65aef9a9c8188002fb8d4a862486d5f83d8aa9b579bc3cf4e2d2cd26f

Observation 753d56ab-1982-4d17-8f92-893a16d227ee · outbound

This paper cites POND and G.

LOTUSim: Multi-Domain Simulator for Marine Robotics POND and G

Reference 29

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verified exact
doi, observed 2026-07-12T05:08:30.722510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:36978903bd399f3495a746aaec2d8d8e6a6e2e8207cde55268c3bd71dce51dc7

Observation 23e2bc24-c494-4d54-b2fb-e63858281a5a · outbound

This paper cites an unresolved cited work.

LOTUSim: Multi-Domain Simulator for Marine Robotics Unresolved cited work

Reference 30

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:08c408c6a7b80d27a58cef50e02e075ba9dd8303249d18d464da131371f5cb37

Observation ddf2a2cb-a122-476b-8e7e-b54ab465a9e0 · outbound

This paper cites Cn-aeromodels: A c++ implementation of aerodynamic models for wind propulsion systems of cargo ships,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Cn-aeromodels: A c++ implementation of aerodynamic models for wind propulsion systems of cargo ships,

Reference 31

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:3d7473e04167340063e793e300549b35af2369c0f9ea2875c923e59a64f92a82

Observation 6e9d8fe4-aabf-4095-9e06-44c260b031bb · outbound

This paper cites Available: http://dx.doi.org/10.21105/joss.06940.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.21105/joss.06940

Reference 32

Resolution
verified exact
doi, observed 2026-07-12T05:08:30.749459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:4c05e2e328dabcbc5b44f087ab17a96cb6486e3cc5544e63d506a73d0050ccf2

Observation 768e9e8f-77ea-42f9-af50-aea5444f0c85 · outbound

This paper cites Goda, Random Seas and Design of Maritime Structures.

LOTUSim: Multi-Domain Simulator for Marine Robotics Goda, Random Seas and Design of Maritime Structures

Reference 33

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doi_truncated, observed 2026-07-12T05:08:30.683190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:c6d3c2531185326743f882b15d34941d311e10d530d835e14177a1b63072253e

Observation dcf59906-a1e2-4609-943c-a1105f48500a · outbound

This paper cites An empirical model for random directional wave kinematics near the free surface,.

LOTUSim: Multi-Domain Simulator for Marine Robotics An empirical model for random directional wave kinematics near the free surface,

Reference 34

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verified exact
doi, observed 2026-07-12T05:08:30.708441Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:14d952644fd916abcdc0c6ab6a5af03396fa30b0a19f5137ec69612636f1c4c7

Observation c4328f8c-aa8d-4932-a066-0de5f6b47209 · outbound

This paper cites Stewart, Introduction to Physical Oceanography.

LOTUSim: Multi-Domain Simulator for Marine Robotics Stewart, Introduction to Physical Oceanography

Reference 35

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:f3907e93df073ad54a16077bef73d7170271fa026f7f6f0bcf5033bb640b2e47

Observation 1ed583ac-1010-4be9-9c70-552cdce26a19 · outbound

This paper cites Physics across oceanography: Fluid mechanics and waves,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Physics across oceanography: Fluid mechanics and waves,

Reference 36

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:2cbc4d195cf5d0b33e37a4a94f0a133643dba8279c1fccef70e98ff8b2724c83

Observation 9bcfa70b-9257-4f84-8703-c1e4a7dcc179 · outbound

This paper cites Ekman-type solutions for shallow-water flows on a rotating sphere: A new perspective on a classical problem,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Ekman-type solutions for shallow-water flows on a rotating sphere: A new perspective on a classical problem,

Reference 37

Resolution
verified exact
doi, observed 2026-07-12T05:08:30.692639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:24b7a46096aefe118fb02d689b34c9e3d9a1dd72dfda3ef0fae7f84fb9617045

Observation a8b602d0-af8e-4345-9a60-8377a335050e · outbound

This paper cites Cushman-Roisin and J.-M.

LOTUSim: Multi-Domain Simulator for Marine Robotics Cushman-Roisin and J.-M

Reference 38

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:8fe34427507eee404e4fba655a8fc8b5948fcfa0dfd5d994cad332f3d940e53d

Observation 5fc0c700-57e2-4d93-b8c8-97dc7cb8ef29 · outbound

This paper cites Revised estimates of ocean surface drag in strong winds,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Revised estimates of ocean surface drag in strong winds,

Reference 39

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source=pdf_text observed=2026-07-12T05:05:36.578922Z digest=sha256:7bb01d50a821bad4408522ca7637f8374cebad67d1e22d9c3f39e7c69dacc741

Observation b1d383cb-583d-4b98-8594-e89874465697 · outbound

This paper cites Available: http://dx.doi.org/10.1029/2020GL087647.

LOTUSim: Multi-Domain Simulator for Marine Robotics Available: http://dx.doi.org/10.1029/2020GL087647

Reference 40

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This paper cites Predicting the ocean currents using deep learning,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Predicting the ocean currents using deep learning,

Reference 41

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This paper cites Predicting the Ocean Currents using Deep Learning.

LOTUSim: Multi-Domain Simulator for Marine Robotics Predicting the Ocean Currents using Deep Learning

Reference 42

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This paper cites Estimating ocean surface currents with machine learning,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Estimating ocean surface currents with machine learning,

Reference 43

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This paper cites Prediction of dominant ocean parameters for sustainable marine environment,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Prediction of dominant ocean parameters for sustainable marine environment,

Reference 44

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Observation 7370e651-b91a-4259-98ec-01607b629e6c · outbound

This paper cites ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research.

LOTUSim: Multi-Domain Simulator for Marine Robotics ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research

Reference 45

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This paper cites Control reallocation using deep reinforcement learning for actuator fault recovery of an autonomous underwater vehicle,.

LOTUSim: Multi-Domain Simulator for Marine Robotics Control reallocation using deep reinforcement learning for actuator fault recovery of an autonomous underwater vehicle,

Reference 46

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Pith citing papers

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