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Paper Citation Record · LEDGER

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot

As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2509.19525.

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

pith.paper-citation-record.v1
2509.19525 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:37:57.981796Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:28:16.666961Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T20:18:56.712377Z

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation 4248aea4-1d59-4e8f-9184-93d97cb4ae8d · outbound

This paper cites Design, fabrication and control of soft robots,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Design, fabrication and control of soft robots,

Reference 1

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Observation 7cb33178-1f65-4e8d-b9e8-0c69a560275f · outbound

This paper cites Soft robotics: Review of fluid-driven intrinsically soft devices; manufacturing, sensing, control, and appli- cations in human-robot interaction,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Soft robotics: Review of fluid-driven intrinsically soft devices; manufacturing, sensing, control, and appli- cations in human-robot interaction,

Reference 2

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Observation ff6ef948-d557-4d2b-be42-0bab0c890b28 · outbound

This paper cites Modeling and control of soft robots using the koopman operator and model predictive control,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Modeling and control of soft robots using the koopman operator and model predictive control,

Reference 3

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Observation 9fae19ee-26c2-481b-aa8f-fbce71930d02 · outbound

This paper cites Model-based control of soft robots: A survey of the state of the art and open challenges,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Model-based control of soft robots: A survey of the state of the art and open challenges,

Reference 4

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source=pdf_text observed=2026-08-04T15:37:51.707252Z digest=sha256:ffbc3257d49a0b538e57a6de3cdd74904e8c4752f10e2c2834b5354c63f5ef55

Observation e58e2f7a-0e73-411a-b98a-989d7851b3c3 · outbound

This paper cites Model-based reinforcement learning for closed-loop dynamic control of soft robotic manipulators,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Model-based reinforcement learning for closed-loop dynamic control of soft robotic manipulators,

Reference 5

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source=pdf_text observed=2026-08-04T15:37:51.799952Z digest=sha256:0449f20dff633e394df5b6c69efc7faaa08fc710d6230534fb4979d87f307ff3

Observation a8eb3233-92a4-43bb-b3cd-604af812131b · outbound

This paper cites Review of machine learning methods in soft robotics,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Review of machine learning methods in soft robotics,

Reference 6

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Observation 9b416703-d1ac-42aa-bb43-32e00e8c347c · outbound

This paper cites Reinforcement learning enables real- time planning and control of agile maneuvers for soft robot arms,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Reinforcement learning enables real- time planning and control of agile maneuvers for soft robot arms,

Reference 7

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source=pdf_text observed=2026-08-04T15:37:51.959107Z digest=sha256:0378546106d27c8142c73a02e17f4b9b576d505d95d05bde00757b0a9b810bc1

Observation 8621b2eb-2c8b-4af4-abcf-7f9cb4ce24ee · outbound

This paper cites Closed-loop dynamic control of a soft manipulator using deep reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Closed-loop dynamic control of a soft manipulator using deep reinforcement learning,

Reference 8

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Observation 3c66f321-f578-4e45-9d13-2aebc913cfad · outbound

This paper cites Model-free reinforcement learning with ensemble for a soft continuum robot arm,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Model-free reinforcement learning with ensemble for a soft continuum robot arm,

Reference 9

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Observation 32c80fe8-307f-45d5-b82d-9f65e580ff5c · outbound

This paper cites Pushing with soft robotic arms via deep reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Pushing with soft robotic arms via deep reinforcement learning,

Reference 10

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Observation a543d547-43c9-4c38-a257-e8f91cf4b243 · outbound

This paper cites Automated gait generation for walking, soft robotic quadrupeds,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Automated gait generation for walking, soft robotic quadrupeds,

Reference 11

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Observation f600c745-6d8d-4cf8-97ee-490de5318efb · outbound

This paper cites A platform with six degrees of freedom,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot A platform with six degrees of freedom,

Reference 12

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Observation b4300a37-343b-4545-9c91-8af14ff1c762 · outbound

This paper cites Handedness in shearing auxetics creates rigid and compliant structures,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Handedness in shearing auxetics creates rigid and compliant structures,

Reference 13

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source=pdf_text observed=2026-08-04T15:37:52.833750Z digest=sha256:a853a2d63536877a9a6a0a1a9483ec7752ac2a842d3ea89b41bffa5e7650f214

Observation b3a78656-316d-4e8d-8fb5-d68f53976789 · outbound

This paper cites A flexible, architected soft robotic actuator for motorized extensional motion,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot A flexible, architected soft robotic actuator for motorized extensional motion,

Reference 14

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source=pdf_text observed=2026-08-04T15:37:52.947361Z digest=sha256:8bb16b19a95a9eea526b5e5a2af1ec4e4ee193339f436bae820d39f61e525210

Observation 5359e697-4fb3-4d78-9be9-5fa0d2fbd2ee · outbound

This paper cites Challenges of real-world reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Challenges of real-world reinforcement learning,

Reference 15

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source=pdf_text observed=2026-08-04T15:37:53.077630Z digest=sha256:40f7abb55c33fb9e8c4b7b4f1782e66e5b249ebb3f738b916be09d3870c4f656

Observation 41b56e40-30f0-4aba-bf62-c56cdf15a27b · outbound

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

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot How to train your robot with deep reinforce- ment learning: lessons we have learned,

Reference 16

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Observation e1e5d8dd-d9f4-4c96-b4c4-0003b140d4a1 · outbound

This paper cites Hardware-in-the-loop soft robotic testing framework using an actor-critic deep reinforcement learning algorithm,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Hardware-in-the-loop soft robotic testing framework using an actor-critic deep reinforcement learning algorithm,

Reference 17

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source=pdf_text observed=2026-08-04T15:37:53.253938Z digest=sha256:4c00cb335cdc15aa9bd6ba4041f85dc01d0394ae69f81594af0c787faa522f13

Observation bb861ea1-8861-4e9d-9d73-3d6e9c6393bb · outbound

This paper cites Smooth exploration for robotic reinforce- ment learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Smooth exploration for robotic reinforce- ment learning,

Reference 18

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Observation 2bc0ccdc-0d71-4aae-b8cb-4a842bc64be9 · outbound

This paper cites Daydreamer: World models for physical robot learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Daydreamer: World models for physical robot learning,

Reference 19

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Observation d0f227b7-5ba7-47f8-918d-093cfe7b361c · outbound

This paper cites Physical state exploration for reinforcement learning from scratch,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Physical state exploration for reinforcement learning from scratch,

Reference 20

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Observation 0b260e1a-ad62-445c-9c2e-ee03e394efe1 · outbound

This paper cites Comparison of modern control methods for soft robots,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Comparison of modern control methods for soft robots,

Reference 21

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Observation 1c574319-6a65-4a42-9824-efc97273099f · outbound

This paper cites Simple, low-hysteresis, foldable, fabric pneumatic artificial muscle,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Simple, low-hysteresis, foldable, fabric pneumatic artificial muscle,

Reference 22

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source=pdf_text observed=2026-08-04T15:37:53.882847Z digest=sha256:5afc0b8482f1af6f2c9bb455c7fbb1366c4ee358e3e712392a4ead08ccd20e2d

Observation cebbe845-6431-4d03-81d4-9895e5578701 · outbound

This paper cites Dynamic task space control enables soft manipulators to perform real-world tasks,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Dynamic task space control enables soft manipulators to perform real-world tasks,

Reference 23

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Observation 46e42502-2f86-402e-8c2a-1f9e5119d890 · outbound

This paper cites Motorized, untethered soft robots via 3d printed auxetics,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Motorized, untethered soft robots via 3d printed auxetics,

Reference 24

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Observation b342668b-5679-465a-a121-a920d3a32fb7 · outbound

This paper cites A recipe for electrically-driven soft robots via 3d printed handed shearing auxetics,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot A recipe for electrically-driven soft robots via 3d printed handed shearing auxetics,

Reference 25

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Observation ffa09f42-2233-45f3-92e4-37a6ce71c200 · outbound

This paper cites Electrically controllable materials for soft, bioinspired machines,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Electrically controllable materials for soft, bioinspired machines,

Reference 26

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Observation f093d8ad-d358-4b6b-a3b8-11cc0bf35d55 · outbound

This paper cites Vision-based sensing for electrically- driven soft actuators,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Vision-based sensing for electrically- driven soft actuators,

Reference 27

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Observation ef4f8441-a9d4-4001-ad97-c30893436062 · outbound

This paper cites Fluidic innervation sensorizes structures from a single build material,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Fluidic innervation sensorizes structures from a single build material,

Reference 28

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source=pdf_text observed=2026-08-04T15:37:54.707697Z digest=sha256:f3d0c6cade95b1f97c26e22b2784a6b3d68c65e867703bbc5f85f0ab0d4faa2b

Observation 85c6e961-9b7b-4153-a905-5096b4eea667 · outbound

This paper cites One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay

Reference 29

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Observation 9da73e7e-a8a3-4928-a396-ef8b34216b13 · outbound

This paper cites Maximum diffusion reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Maximum diffusion reinforcement learning,

Reference 30

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Observation 6b83fd82-ef4b-4d29-819d-e5c8b17204c6 · outbound

This paper cites Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states,

Reference 31

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Observation c1a5abc7-51df-4898-8158-671818b57a0e · outbound

This paper cites Single Episode Policy Transfer in Reinforcement Learning.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Single Episode Policy Transfer in Reinforcement Learning

Reference 32

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Observation 20d89bd1-7e98-4f79-aaa5-d951324ab1e9 · outbound

This paper cites Grow your limits: Continuous improvement with real-world rl for robotic locomotion,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Grow your limits: Continuous improvement with real-world rl for robotic locomotion,

Reference 33

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source=pdf_text observed=2026-08-04T15:37:55.337319Z digest=sha256:9aafe3cacbe3f30e0cd86117bc8dc558d9887004b9f880e7afb08e1e138bb096

Observation 53bc0b99-b292-44eb-84d7-e18515a4700a · outbound

This paper cites You only live once: Single-life reinforce- ment learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot You only live once: Single-life reinforce- ment learning,

Reference 34

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source=pdf_text observed=2026-08-04T15:37:55.480551Z digest=sha256:caf870b7dfef28d4f15380d79f958e8bccb6b2909390ea8f12ab645dd7ac28b2

Observation c6c1baec-2dd8-407d-84cb-5295b0eb88f8 · outbound

This paper cites Leave no trace: Learning to reset for safe and autonomous reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Leave no trace: Learning to reset for safe and autonomous reinforcement learning,

Reference 35

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Observation 8ac6d6f4-7b63-467a-9122-5f2c6048f2c0 · outbound

This paper cites Continual reinforcement learning in 3d non-stationary environments,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Continual reinforcement learning in 3d non-stationary environments,

Reference 36

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source=pdf_text observed=2026-08-04T15:37:55.774215Z digest=sha256:007aac0b95a420f80ed4c5ba91aaae1a914c7973120a1bf2da83c58a4748fc71

Observation 075cb962-af60-4e88-b4cb-c25e20ddb863 · outbound

This paper cites Automating reinforcement learning with example-based resets,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Automating reinforcement learning with example-based resets,

Reference 37

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Observation c3a6e64a-ef4e-4dda-b71b-35bcfea595d9 · outbound

This paper cites Don’t start from scratch: Leveraging prior data to automate robotic reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Don’t start from scratch: Leveraging prior data to automate robotic reinforcement learning,

Reference 38

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Observation 6147b90e-152d-4006-92f5-86b6767710ac · outbound

This paper cites Reset-free reinforcement learning via multi- task learning: Learning dexterous manipulation behaviors without human intervention,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Reset-free reinforcement learning via multi- task learning: Learning dexterous manipulation behaviors without human intervention,

Reference 39

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source=pdf_text observed=2026-08-04T15:37:56.175874Z digest=sha256:a8e9f47504c9fb744f0a605b3aa0ce5fdde14cba680e6b53b615c29921d0e746

Observation 2294289b-af76-47a3-aa45-70e0debd7ca7 · outbound

This paper cites Self-improving robots: End-to-end autonomous visuomotor reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Self-improving robots: End-to-end autonomous visuomotor reinforcement learning,

Reference 40

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source=pdf_text observed=2026-08-04T15:37:56.311261Z digest=sha256:df114bb3df0239e87df4a285d791ba1eeb1402c161c6d3985b030e71596d3b9a

Observation a7f7f3f7-d3c0-4a90-8bd1-6b1b9fbf5aa3 · outbound

This paper cites Rtmba: A real-time model-based rein- forcement learning architecture for robot control,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Rtmba: A real-time model-based rein- forcement learning architecture for robot control,

Reference 41

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Observation fd5f2976-998e-48f9-b0d9-1627877bd533 · outbound

This paper cites Curriculum learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Curriculum learning,

Reference 42

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source=pdf_text observed=2026-08-04T15:37:56.581469Z digest=sha256:4a45e1e1a1abfb18737f965720c4e232db536eab68bbca168c17e29d300c607b

Observation 3e884152-24c5-421c-97f3-d061f0346db1 · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Curriculum learning for reinforcement learning domains: A framework and survey,

Reference 43

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source=pdf_text observed=2026-08-04T15:37:56.739032Z digest=sha256:96c4cc6087a56f5b672d44da3c826e43d900f9c0aa757c7fd502ae4022cd2800

Observation da293502-2e8d-44e7-9d1f-c47bdfc5fbbd · outbound

This paper cites A survey on curriculum learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot A survey on curriculum learning,

Reference 44

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source=pdf_text observed=2026-08-04T15:37:56.860177Z digest=sha256:fa9005d61adb0b48dd8551e633d8e26f758e125556909b0c7a743014bfe1b9c3

Observation b3ec2291-c223-4d20-95c9-ba341513bb76 · outbound

This paper cites Training and tracking in robotics.,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Training and tracking in robotics.,

Reference 45

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source=pdf_text observed=2026-08-04T15:37:56.975735Z digest=sha256:5f97d4a89042d3955fa66647b45fe7d58e8e9eb953050f2097696031d1bf53e2

Observation 8f1f780e-a3af-4c89-9d15-9146ba6796c3 · outbound

This paper cites Neural network learning control of robot manipulators using gradually increasing task difficulty,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Neural network learning control of robot manipulators using gradually increasing task difficulty,

Reference 46

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source=pdf_text observed=2026-08-04T15:37:57.070457Z digest=sha256:21e16f06a8d082a933bd7f3f8c73cafdc9227006bce678e5aed8f92e297767bb

Observation 3b2d72da-8fc8-4598-a492-6873a6a4f130 · outbound

This paper cites Stewart py,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Stewart py,

Reference 47

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Observation 400159d3-0e95-492b-b670-4b47ab1078d5 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 48

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Observation 0c361f60-cf7b-42ea-96c9-6ff1383bee22 · outbound

This paper cites Information theoretic mpc for model-based reinforcement learning,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Information theoretic mpc for model-based reinforcement learning,

Reference 49

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Observation 7c690f93-d974-4921-8102-1311f04244d8 · outbound

This paper cites Aggressive driving with model predic- tive path integral control,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Aggressive driving with model predic- tive path integral control,

Reference 50

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Observation 76d71152-c799-47bc-bff9-75c5d2e9820b · outbound

This paper cites Model-based reinforcement learning: A survey,.

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot Model-based reinforcement learning: A survey,

Reference 51

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source=pdf_text observed=2026-08-04T15:37:57.981796Z digest=sha256:c6ecc64724766d1a365c5e59ac7a39da34d4a9831750100029a5105878238b01

Pith citing papers

Observation dbee581d-e107-49ed-968b-cfe271c76c69 · inbound

Damage Adaptation in Seconds for Architected Materials cites this paper.

Damage Adaptation in Seconds for Architected Materials Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot

Reference 24

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local_arxiv, observed 2026-07-03T20:18:56.714417Z

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