Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T16:34:29.749106Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2606.09183.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T16:34:29.749106Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 10ce1306-a256-4028-b316-b1b8f97a4a67 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Robotic Autonomous Systems for Earthmoving Equipment Operating in V olatile Conditions and Teaming Capacity: a Survey,
Reference 1
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Unavailable: canonical work link unavailable.
Observation ef890936-13a1-446b-98fb-fce62b6940e1 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Sensing, Perception, Decision, Planning and Action of Autonomous Excavators,
Reference 2
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Observation 80ff81ae-74d3-479d-9f85-dbae0f073a6d · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation An Autonomous Excavator System for Material Loading Tasks,
Reference 3
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Observation 5b87a607-527b-41d2-9d25-584adb3f2218 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Autonomous Free- Form Trenching Using a Walking Excavator,
Reference 4
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Observation 528a3587-5537-442e-9224-d908cb049087 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Excavation learning for rigid objects in clutter,
Reference 5
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Observation 659a93d5-21a7-49dc-b5de-45bdc95ed1cc · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Tasknet: A neural task planner for autonomous excavator,
Reference 6
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Observation 95305963-8bad-4a17-94aa-7954571dd180 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Learning Excavation of Rigid Objects with Offline Reinforcement Learning
Reference 7
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a10d4865-e20d-4ee2-a7d7-879949985f40 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Excavation Reinforcement Learning Us- ing Geometric Representation,
Reference 8
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Observation 40a02b74-1b88-4bcc-90d9-d3aeabb6aaf4 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Simulation-Based Reinforcement Learning Ap- proach Towards Construction Machine Automation,
Reference 9
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Observation c4d6b9fe-44cd-4474-a91b-e7cc9ca65f09 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Time-Jerk Optimal Trajectory Planning of Hydraulic Robotic Excavator,
Reference 10
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Observation f98dfaea-e59b-42c7-a73d-017a80b7e45b · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Optimization-based Framework for Excavation Trajectory Generation,
Reference 11
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Observation 7dc4bb0d-839e-42bc-8332-08448beea800 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Modeling and Offset-free Model Predictive Control of a Hydraulic Mini Excavator,
Reference 12
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Observation ba233a7d-71d6-4813-8b96-ac7e787bb957 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Three-Dimensionsal Granular Flow Continuum Modeling via Material Point Method with Hyperelastic Nonlocal Granular Fluidity,
Reference 13
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Observation 0e938ee7-35a5-4d20-b79f-b15cd224709b · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time- Efficient Fine-Resolution Policy Learning,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 0caf488b-c109-4db0-a47a-b2fb2afa1cbc · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 60b574ea-70ee-46a6-b779-29924f30cd3f · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Design of Highly Realistic Virtual Environment for Excavator Simulator,
Reference 16
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Unavailable: canonical work link unavailable.
Observation 9aedcd1e-c07d-4cc5-9343-c64b08d25f9d · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation A Survey on Curriculum Learn- ing,
Reference 17
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Observation 7597419b-f409-4023-aae5-d3994becc090 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey,
Reference 18
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Observation ff36cd09-17b9-4de6-a979-da34cbc86ed7 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Autonomous Loading System for Load-Haul-Dump (LHD) Machines Used in Underground Mining,
Reference 19
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Unavailable: canonical work link unavailable.
Observation 199d3180-c773-4177-98cd-ea431bd0e3c1 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Admittance Control for Robotic Loading: Design and Experiments with a 1-Tonne Loader and a 14-Tonne Load-Haul-Dump Machine,
Reference 20
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Observation 1fe2adc9-979a-4d27-b0cb-a21d305231cd · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Autonomous Excavation of Rocks Using a Gaussian Process Model and Unscented Kalman Filter,
Reference 21
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Observation 7bd7e02e-16ce-4138-b331-1d17d1283f45 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Real-Time Motion Planning of a Hydraulic Excavator Using Trajectory Optimization and Model Predictive Control,
Reference 22
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Observation 8a67569f-97e3-45e2-bc16-23c96d251c45 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Expert-Emulating Excavation Trajectory Planning for Autonomous Robotic Industrial Excavator,
Reference 23
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Observation 90918384-cd1f-4bd9-bd9e-1c33c3227f5e · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Deep Learning-based Autonomous Excavation: a Bucket-trajectory Planning Algorithm,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 5ed1d489-654b-4b52-af55-a3f66187a31f · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Particle Finite Element Method Implementation for Large Deformation Analysis Using Abaqus,
Reference 25
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Observation 63b8c96c-7f6c-4783-a09a-7ea6a9119004 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Excavation of fragmented rocks with multi-modal model-based reinforcement learning,
Reference 26
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Unavailable: canonical work link unavailable.
Observation 69b547c7-a61f-42d3-86f2-5e8f2e532509 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation The material point method for simulating continuum materials,
Reference 27
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Unavailable: canonical work link unavailable.
Observation 166502f3-7074-4c22-ab1d-ad145cec408e · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation A Novel Robust Imitation Learning Framework for Complex Skills with Limited Demonstrations,
Reference 28
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Unavailable: canonical work link unavailable.
Observation fa5be442-a21f-4e1d-ac50-4eed51e7cadc · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Imitation Learning: A Survey of Learning Methods,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 3fe69534-4320-47a1-b968-cdd8240bc5ea · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Disturbance-Injected Robust Imitation Learning with Task Achieve- ment,
Reference 30
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Observation f232ecf1-856a-43f3-9ab6-13a02667364c · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 780779f9-8d5d-44a1-af89-8e2ddabfe00b · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Learning Robotic Powder Weighing from Simulation for Laboratory Automation,
Reference 32
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Observation 3bc13ee1-f48a-4fea-aac0-4fe3bec277a7 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Teacher-Student Curriculum Learning,
Reference 33
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Observation d408fad2-4fa0-4aa0-b088-ca9c4b759131 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Sim-to- Real Transfer of Robotic Control with Dynamics Randomization,
Reference 34
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Observation e00e2530-252d-42eb-b423-f27f757862fe · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Randomized ensembled double q-learning: Learning fast without a model,
Reference 35
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Observation d591480e-c1d1-4eab-8aaa-7db5a2778b78 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Research on an Open Source Physical Simulator for Autonomous Construction Machinery Development,
Reference 36
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Observation d234da65-f5a2-491e-a97b-a1e9d3613393 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Robotic manipulation and sensing of deformable objects in domestic and in- dustrial applications: A survey,
Reference 37
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Observation cbba44ec-3cb1-4121-bf98-65433cf2ed16 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Diffsrl: Learning dynamical state representation for deformable object manipulation with differentiable simulation,
Reference 38
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Unavailable: canonical work link unavailable.
Observation c01c27ad-b7f8-4c50-bada-d81dca296bbe · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Prolonging tool life: Learning skillful use of general-purpose tools through lifespan- guided reinforcement learning,
Reference 39
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Unavailable: canonical work link unavailable.
Observation 78c58d9d-5502-47af-bc5e-d378c1fde661 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Visuo- motor Reinforcement Learning for Multirobot Cooperative Navigation,
Reference 40
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Unavailable: canonical work link unavailable.
Observation bcee78cf-7f7f-4801-9dd8-3fe67f31db7e · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation HEAP—The Autonomous Walking Exca- vator,
Reference 41
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Unavailable: canonical work link unavailable.
Observation 0745a162-8bd5-4c9d-a819-c458cfe0ec36 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Effects of machine instability feedback on safety during digging operation in teleoperated excavators,
Reference 42
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Unavailable: canonical work link unavailable.
Observation b00ed3cf-1a7d-4207-82c0-ef69e5f3e4b7 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Integrated task and motion planning,
Reference 43
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Observation 3e0a2148-4237-425b-960c-44b485f4757f · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Robotic embankment: Free-form autonomous formation in terrain with HEAP,
Reference 44
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Observation ebd77440-bd8a-49c0-b0ed-339f91d0550c · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Faster R-CNN: Towards real- time object detection with region proposal networks,
Reference 45
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Unavailable: canonical work link unavailable.
Observation 2c09f676-9459-46c3-aa3c-042beb999214 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Towards open world object detection,
Reference 46
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Unavailable: canonical work link unavailable.
Observation 7078865b-a6d4-4d54-87a7-8ba7f7183cb7 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Robust object detection under occlusion with context-aware CompositionalNets,
Reference 47
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Observation 8d9e6dfc-1f91-429a-9f79-a8ce22448ff8 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Deep visual foresight for planning robot motion,
Reference 48
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Observation f739c735-158a-4253-a662-dd06daf40d92 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation de Boor,A Practical Guide to Splines
Reference 49
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Observation a89fb179-bd6f-467f-ab2b-4a80fe03ae51 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation A note on piecewise linear and multilinear table interpolation in many dimensions,
Reference 50
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Observation 59f416e2-fa70-4722-8c69-e4a147e65a6c · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation A multiscale retinex for bridging the gap between color images and the human observation of scenes,
Reference 51
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Observation 481b4532-5cdc-43aa-98b7-dd1271bb0060 · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation Bilateral filtering for gray and color images,
Reference 52
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Observation e786d01f-69fd-4b48-89c6-1b211d4529eb · outbound
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation ”GrabCut
Reference 53
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No inbound Pith citation observations are available.