Efficiently Manipulating Clutter via Learning and Search-Based Reasoning | Paper Citation Record

Observation dcdfad29-22ae-4514-876f-3ecb47a2f3a9 · outbound

This paper cites Toward robotic manipulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Toward robotic manipulation,

Reference 1

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Observation 3a5578c1-a38f-4902-846d-eaca36060b40 · outbound

This paper cites Robotized and automated warehouse systems: Review and recent developments,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Robotized and automated warehouse systems: Review and recent developments,

Reference 2

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Observation 0723e6c5-394e-4424-bef6-309fcc74209e · outbound

This paper cites Medical robotics and computer-integrated surgery,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Medical robotics and computer-integrated surgery,

Reference 3

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Observation 3011cd3e-7194-457f-8a87-428f6b54cbd1 · outbound

This paper cites Progress and prospects of the human–robot collaboration,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Progress and prospects of the human–robot collaboration,

Reference 4

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Observation ab5ee2fe-41dc-4f68-87a1-d7116b6a8d6c · outbound

This paper cites Cooperative search and rescue with a team of mobile robots,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Cooperative search and rescue with a team of mobile robots,

Reference 5

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Observation 3a2fef3d-a2fb-4bab-a600-746d27f4bc44 · outbound

This paper cites Dex-net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Dex-net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning,

Reference 6

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Observation 09f3b450-0a19-4930-9129-1678f23355b7 · outbound

This paper cites Fusebot: Rf-visual mechanical search,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Fusebot: Rf-visual mechanical search,

Reference 7

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Observation 64e41a43-65ef-470e-8579-d0b57420def7 · outbound

This paper cites Dealing with difficult instances of object rearrange- ment.,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Dealing with difficult instances of object rearrange- ment.,

Reference 8

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Observation db6680e3-8d51-405b-8eef-695f3548c530 · outbound

This paper cites Dynamic grasp and trajectory planning for moving objects,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Dynamic grasp and trajectory planning for moving objects,

Reference 9

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Observation 22b3aeb8-befc-4132-85c1-e36d756ea388 · outbound

This paper cites Learning dexterous in-hand manipulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning dexterous in-hand manipulation,

Reference 10

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Observation aa3f1416-b98c-48da-94a8-69eaca5352fc · outbound

This paper cites From caging to grasping,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning From caging to grasping,

Reference 11

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Observation 0e5507ed-8326-4ec7-aea1-b3ee4cd06fce · outbound

This paper cites Dipn: Deep interaction prediction network with application to clutter removal,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Dipn: Deep interaction prediction network with application to clutter removal,

Reference 12

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Observation d7194f34-67e2-4d52-9c32-ffa344370504 · outbound

This paper cites Toward optimal tabletop rearrangement with multiple manipulation primitives,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Toward optimal tabletop rearrangement with multiple manipulation primitives,

Reference 14

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Observation 5d24bb2e-23c9-4c3a-8542-f0f1b4b8f14c · outbound

This paper cites Lgmcts: Language-guided monte- carlo tree search for executable semantic object rearrangement,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Lgmcts: Language-guided monte- carlo tree search for executable semantic object rearrangement,

Reference 15

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Observation 364cc715-a3c5-4fe8-9cac-950c953e3d9a · outbound

This paper cites Visual foresight trees for ob- ject retrieval from clutter with nonprehensile rearrangement,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Visual foresight trees for ob- ject retrieval from clutter with nonprehensile rearrangement,

Reference 16

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Observation d8144917-72f2-449d-bcc9-1c14f6a55e12 · outbound

This paper cites Toward fully automated metal recycling using computer vision and non-prehensile manipulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Toward fully automated metal recycling using computer vision and non-prehensile manipulation,

Reference 17

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Observation 9d2d750a-2efe-45d5-a641-dd28504a55f0 · outbound

This paper cites Fast high-quality tabletop rearrangement in bounded workspace,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Fast high-quality tabletop rearrangement in bounded workspace,

Reference 18

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Observation 223f44b0-c2ff-4fc7-8b90-74f68e6169d7 · outbound

This paper cites Interleaving monte carlo tree search and self-supervised learning for object retrieval in clutter,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Interleaving monte carlo tree search and self-supervised learning for object retrieval in clutter,

Reference 19

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Observation 62dd28f8-f807-474a-bd90-11ca07c11693 · outbound

This paper cites Stackelberg strategic guidance for hetero- geneous robots collaboration,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Stackelberg strategic guidance for hetero- geneous robots collaboration,

Reference 20

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Observation a2ebb748-4b0e-4dea-9f9d-9fbf447adb69 · outbound

This paper cites Parallel monte carlo tree search with batched rigid-body simulations for speeding up long-horizon episodic robot planning,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Parallel monte carlo tree search with batched rigid-body simulations for speeding up long-horizon episodic robot planning,

Reference 21

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Observation 543be349-133d-4001-adaa-37a85087f5ed · outbound

This paper cites Earl: Eye-on-hand reinforcement learner for dynamic grasping with active pose estimation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Earl: Eye-on-hand reinforcement learner for dynamic grasping with active pose estimation,

Reference 22

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Observation ee9a5c59-fee7-43aa-bd9a-6d44399415f3 · outbound

This paper cites Learning generalizable pivoting skills,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning generalizable pivoting skills,

Reference 23

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Observation b87ce997-e3c6-4712-a839-70186e1d70cd · outbound

This paper cites Robotic grasping and contact: A review,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Robotic grasping and contact: A review,

Reference 24

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Observation 7f25830f-e7fe-4e98-ae1d-a57a95a3a315 · outbound

This paper cites A probabilistic data-driven model for planar pushing,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning A probabilistic data-driven model for planar pushing,

Reference 25

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Observation d4c52e33-a36f-4647-b739-ad279260075d · outbound

This paper cites Towards robust product packing with a minimalistic end-effector,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Towards robust product packing with a minimalistic end-effector,

Reference 26

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Observation 95e4e531-7af6-4538-9e9c-84b322b706f1 · outbound

This paper cites Learning synergies between pushing and grasping with self-supervised deep reinforcement learning,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning synergies between pushing and grasping with self-supervised deep reinforcement learning,

Reference 27

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Observation 5e033096-4ac0-48b2-93f8-799bc9e31cfc · outbound

This paper cites Pre-grasp sliding manipulation of thin objects using soft, compliant, or underactuated hands,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Pre-grasp sliding manipulation of thin objects using soft, compliant, or underactuated hands,

Reference 28

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Observation 3388ec74-168f-4513-9c36-c2afc6ca68d8 · outbound

This paper cites Object search by manipulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Object search by manipulation,

Reference 29

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Observation 117156e1-51ae-4d12-ae1d-beb63f372159 · outbound

This paper cites Robust planar dynamic pivoting by regulating inertial and grip forces,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Robust planar dynamic pivoting by regulating inertial and grip forces,

Reference 30

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Observation 72f95bc5-e36d-4fae-b342-ce5d20e3f71b · outbound

This paper cites Manipulation of unknown objects via contact configuration regulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Manipulation of unknown objects via contact configuration regulation,

Reference 31

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Observation 77c9aefe-20ee-4c77-9627-415a8151ff5d · outbound

This paper cites Data-driven grasp synthesis—a survey,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Data-driven grasp synthesis—a survey,

Reference 32

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Observation 15a47590-56d6-42a4-ad13-ac04e5338fcf · outbound

This paper cites Learning a dictionary of prototypical grasp-predicting parts from grasping experience,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning a dictionary of prototypical grasp-predicting parts from grasping experience,

Reference 33

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Observation a994efb0-531b-4cc1-bdd5-b4b075d52668 · outbound

This paper cites Deep learning for detecting robotic grasps,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Deep learning for detecting robotic grasps,

Reference 34

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Observation 3a3b37be-0ee6-43dd-b20e-2eabba719437 · outbound

This paper cites Leveraging big data for grasp planning,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Leveraging big data for grasp planning,

Reference 35

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Observation fa72a728-224d-45e2-a4d9-16958acca614 · outbound

This paper cites Learning 6-dof grasping interaction via deep 3d geometry-aware representations,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning 6-dof grasping interaction via deep 3d geometry-aware representations,

Reference 36

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Observation fce73c44-3e96-4bd8-996f-e3a7a766cc31 · outbound

This paper cites 6-dof graspnet: Variational grasp generation for object manipulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning 6-dof graspnet: Variational grasp generation for object manipulation,

Reference 37

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Observation 100da70b-9411-4ae5-96da-39652c401b7e · outbound

This paper cites Pointnetgpd: Detecting grasp configurations from point sets,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Pointnetgpd: Detecting grasp configurations from point sets,

Reference 38

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Observation d7695654-6f2d-4ca8-9d9a-446187e12476 · outbound

This paper cites Using geometry to detect grasp poses in 3d point clouds,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Using geometry to detect grasp poses in 3d point clouds,

Reference 39

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Observation a382c98e-da08-4953-9603-f84348392103 · outbound

This paper cites Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours,

Reference 40

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Observation be625bf0-7e0d-4233-8e06-0dd60ccc1cc7 · outbound

This paper cites Learning deep policies for robot bin picking by simulating robust grasping sequences,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning deep policies for robot bin picking by simulating robust grasping sequences,

Reference 41

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Observation 35a9a6fc-701b-4a95-b61a-3338d46eca03 · outbound

This paper cites Graspnet-1billion: A large-scale bench- mark for general object grasping,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Graspnet-1billion: A large-scale bench- mark for general object grasping,

Reference 42

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Observation acca517b-13f8-4f24-b0a3-f07466766554 · outbound

This paper cites Efficient optimization for autonomous robotic manipulation of natural objects,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Efficient optimization for autonomous robotic manipulation of natural objects,

Reference 43

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Observation 79344fcc-2916-4d8a-a757-ee16811a17a1 · outbound

This paper cites Catgrasp: Learning category-level task-relevant grasping in clutter from simulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Catgrasp: Learning category-level task-relevant grasping in clutter from simulation,

Reference 44

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Observation 7c301aa0-f77b-4cd9-8f89-8b306a28299d · outbound

This paper cites Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Reference 45

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Observation 0f2bef7b-4990-4cb3-82cc-50c395f077c0 · outbound

This paper cites Learning ambidextrous robot grasping policies,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning ambidextrous robot grasping policies,

Reference 46

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Observation 84b38407-ce02-4c23-ab2b-9e800f629aaa · outbound

This paper cites Deep reinforcement learning for robotic pushing and picking in cluttered environment,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Deep reinforcement learning for robotic pushing and picking in cluttered environment,

Reference 47

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Observation ceda04ef-8bde-4126-8c86-b7699a4a932f · outbound

This paper cites Efficient learning of goal-oriented push-grasping synergy in clutter,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Efficient learning of goal-oriented push-grasping synergy in clutter,

Reference 48

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Observation 5f9a86b7-5cff-4e2c-81d5-f65d4d67300b · outbound

This paper cites Let’s push things forward: A survey on robot pushing,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Let’s push things forward: A survey on robot pushing,

Reference 49

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Observation 75c0e547-0fd8-4cdc-b643-02839cc06a53 · outbound

This paper cites Estimating the friction parameters of pushed objects,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Estimating the friction parameters of pushed objects,

Reference 50

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Observation f8e11a0b-ec69-4a17-b70f-e787ea3e4342 · outbound

This paper cites Mechanics and planning of manipulator pushing operations,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Mechanics and planning of manipulator pushing operations,

Reference 51

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Observation b4cae221-7f9a-4a44-93cd-628831f1ac72 · outbound

This paper cites Stable pushing: Mechanics, controllability, and planning,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Stable pushing: Mechanics, controllability, and planning,

Reference 52

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Observation ddb5a816-ca32-42e8-b08c-12625a47e92d · outbound

This paper cites Dynamic nonprehensile manipulation: Controllabil- ity, planning, and experiments,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Dynamic nonprehensile manipulation: Controllabil- ity, planning, and experiments,

Reference 53

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Observation e37f12a7-5527-419d-8508-e8c074ec649e · outbound

This paper cites Posing polygonal objects in the plane by pushing,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Posing polygonal objects in the plane by pushing,

Reference 54

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Observation 5ca7c785-b0b4-4266-a895-1066e5013f41 · outbound

This paper cites On the scope of quasi-static pushing,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning On the scope of quasi-static pushing,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.311365Z

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Observation 3394aeb0-e70f-422b-8a6d-d264d6756d33 · outbound

This paper cites Indentification of the center of friction from pushing an object by a mobile robot,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Indentification of the center of friction from pushing an object by a mobile robot,

Reference 56

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Observation 147d70e7-e43e-4eda-aef2-3806262d0cc1 · outbound

This paper cites Practical force-motion models for sliding manipulation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Practical force-motion models for sliding manipulation,

Reference 57

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Observation 3ffa32de-a28a-4dc5-b396-74aa3a6f228b · outbound

This paper cites A convex polynomial force- motion model for planar sliding: Identification and application,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning A convex polynomial force- motion model for planar sliding: Identification and application,

Reference 58

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Observation d0970e23-ce87-4adf-8220-22d1ea2fbeaa · outbound

This paper cites A convex polynomial model for planar sliding mechanics: Theory, application, and experimental validation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning A convex polynomial model for planar sliding mechanics: Theory, application, and experimental validation,

Reference 59

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Observation efc91e7e-9039-4a25-b4be-bff07de618dc · outbound

This paper cites Pushing revisited: Differential flatness, trajectory planning, and stabilization,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Pushing revisited: Differential flatness, trajectory planning, and stabilization,

Reference 60

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Observation 4737d60b-239a-4279-a2d3-74ec77217365 · outbound

This paper cites A framework for push-grasping in clutter.,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning A framework for push-grasping in clutter.,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.351712Z

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Observation 09cc1b0e-b47a-48ea-bd87-f994add29f4c · outbound

This paper cites Unsupervised learning for physical interaction through video prediction,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Unsupervised learning for physical interaction through video prediction,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.357075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1498f6b-3637-4b08-b31e-8dbcac539261 · outbound

This paper cites Se3-nets: Learning rigid body motion using deep neural networks,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Se3-nets: Learning rigid body motion using deep neural networks,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.361910Z

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Unavailable: canonical work link unavailable.

Observation e4de9e55-9997-43b8-8916-dfc9c25d5086 · outbound

This paper cites Visual interaction networks: Learning a physics simulator from video,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Visual interaction networks: Learning a physics simulator from video,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.367454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff09578-db5e-4f25-b4b6-8481e3099f84 · outbound

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

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning contact-rich manipulation skills with guided policy search,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.371694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e42e34fb-c785-4723-a249-b977a93a4894 · outbound

This paper cites End-to-end training of deep visuomotor policies,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning End-to-end training of deep visuomotor policies,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.376021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52db061a-a3b4-4a94-943a-30507503f17d · outbound

This paper cites Deep visual foresight for planning robot motion,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Deep visual foresight for planning robot motion,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.380985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8422048e-b7ae-4c1f-93d1-9037d1791bc1 · outbound

This paper cites Deep predictive policy training using reinforcement learning,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Deep predictive policy training using reinforcement learning,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.385118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a005f93e-dcbb-4edc-915d-98c6533610a7 · outbound

This paper cites Push-grasping with dexterous hands: Mechanics and a method,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Push-grasping with dexterous hands: Mechanics and a method,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.389153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f72b134-e0cb-458a-a8f0-b638aac2b2f9 · outbound

This paper cites Physics-based grasp planning through clutter.,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Physics-based grasp planning through clutter.,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.394414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a85dea-710b-4a2b-a62e-21eddbb9d225 · outbound

This paper cites Pregrasp manipulation as trajectory optimization.,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Pregrasp manipulation as trajectory optimization.,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.400181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bf64c11-9edc-48cf-b39d-f1959edbd80a · outbound

This paper cites Interactive singulation of objects from a pile,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Interactive singulation of objects from a pile,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.405864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f619fc5-8daf-4072-99ab-b1dacadbcb99 · outbound

This paper cites Learning to singulate objects using a push proposal network,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning to singulate objects using a push proposal network,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.411330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d175770-84fd-473e-8da3-9d6f77371ca3 · outbound

This paper cites Linear push policies to increase grasp access for robot bin picking,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Linear push policies to increase grasp access for robot bin picking,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.416595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1efd414-75b5-4ae9-9596-c7234cc5f0a8 · outbound

This paper cites Learning collabo- rative pushing and grasping policies in dense clutter,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning collabo- rative pushing and grasping policies in dense clutter,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.137359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d50d85da-ed80-421b-b977-21149877f3d5 · outbound

This paper cites Online planning for target object search in clutter under partial observability,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Online planning for target object search in clutter under partial observability,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.123830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab73f77f-fecb-4e22-a4c8-f1855f1686b2 · outbound

This paper cites Mechanical search: Multi-step retrieval of a target object occluded by clutter,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Mechanical search: Multi-step retrieval of a target object occluded by clutter,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.109574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de4e9a44-8f4a-417b-bf2e-dad6c270eaf4 · outbound

This paper cites Visuomotor mechanical search: Learning to retrieve target objects in clutter,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Visuomotor mechanical search: Learning to retrieve target objects in clutter,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.094526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11b80d67-2927-4bdd-a680-c1169654b094 · outbound

This paper cites Multi-object rearrangement with monte carlo tree search: A case study on planar nonprehensile sorting,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Multi-object rearrangement with monte carlo tree search: A case study on planar nonprehensile sorting,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.078194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f435a0c8-d7e3-4e75-afb9-650a800a53db · outbound

This paper cites High-quality tabletop rearrangement with overhand grasps: Hardness results and fast methods,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning High-quality tabletop rearrangement with overhand grasps: Hardness results and fast methods,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.062217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c03dce61-c839-4770-9ad9-db734ae78b99 · outbound

This paper cites Complexity results and fast methods for optimal tabletop rearrangement with overhand grasps,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Complexity results and fast methods for optimal tabletop rearrangement with overhand grasps,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.046518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02f23746-14c5-4943-9d82-0a432d0318e9 · outbound

This paper cites On minimizing the number of running buffers for tabletop rearrangement,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning On minimizing the number of running buffers for tabletop rearrangement,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.030414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e307088-06c9-4576-9514-5e284b649db9 · outbound

This paper cites Rearrangement on lattices with swaps: Optimality structures and efficient algorithms,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Rearrangement on lattices with swaps: Optimality structures and efficient algorithms,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:30.013614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c482c90e-dc83-4c79-93b5-ef0474cd9320 · outbound

This paper cites Rearrangement on lattices with pick-n-swaps: Optimality structures and efficient algorithms,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Rearrangement on lattices with pick-n-swaps: Optimality structures and efficient algorithms,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.998667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa6561e0-0314-420f-b87e-2ffd422a3aa9 · outbound

This paper cites Minimizing running buffers for tabletop ob- ject rearrangement: Complexity, fast algorithms, and applications,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Minimizing running buffers for tabletop ob- ject rearrangement: Complexity, fast algorithms, and applications,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.470257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce2a383b-5e11-4e28-9761-f601247e7321 · outbound

This paper cites Selective object rearrangement in clutter,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Selective object rearrangement in clutter,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.984399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca256285-9079-4400-a992-49cf991101a2 · outbound

This paper cites Coordination of two robotic manipulators for object retrieval in clutter,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Coordination of two robotic manipulators for object retrieval in clutter,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.969694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2fe77f49-96de-4b79-bb62-82a44bcdd490 · outbound

This paper cites Randomized physics-based motion planning for grasping in cluttered and uncertain environments,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Randomized physics-based motion planning for grasping in cluttered and uncertain environments,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.954419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 129aa49e-21b1-4d93-b4f2-a7ab15d2aa7a · outbound

This paper cites Efficient and high-quality prehensile rear- rangement in cluttered and confined spaces,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Efficient and high-quality prehensile rear- rangement in cluttered and confined spaces,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.938872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95596510-7008-43af-b290-f9278f6905be · outbound

This paper cites Hierarchical task and motion planning in the now,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Hierarchical task and motion planning in the now,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.923620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e201472-ac6c-4b48-ba74-31f8adfab049 · outbound

This paper cites Combined task and motion planning through an extensible planner-independent interface layer,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Combined task and motion planning through an extensible planner-independent interface layer,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.908180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3b5a417-1b7e-4f50-9add-e6ba6bdc1e01 · outbound

This paper cites Logic-geometric programming: An optimization-based approach to combined task and motion planning.,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Logic-geometric programming: An optimization-based approach to combined task and motion planning.,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.891719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94fdd4ed-9184-4884-bbdc-0efea456b7b1 · outbound

This paper cites Incremental task and motion planning: A constraint-based approach.,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Incremental task and motion planning: A constraint-based approach.,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.876179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ca43cf1-0615-4a0f-9ef7-a38972b6c0aa · outbound

This paper cites Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.861526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 49b664c5-abf0-49bc-a3db-5215f8016fc0 · outbound

This paper cites Object-centric task and motion planning in dynamic environments,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Object-centric task and motion planning in dynamic environments,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.845671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 099a5924-d873-404d-8a46-26415b4e8a1f · outbound

This paper cites Guided search for task and motion plans using learned heuristics,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Guided search for task and motion plans using learned heuristics,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.830270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42a57ad7-ba9a-4fb9-ac05-07234f93cd1b · outbound

This paper cites Learning to guide task and motion planning using score-space representation,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning to guide task and motion planning using score-space representation,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.815847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 930590e7-30c2-4554-bd3f-735c224b16d8 · outbound

This paper cites Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:28.533830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d38dd0b9-c1c0-455a-8de8-301bdec65310 · outbound

This paper cites Learning feasibility for task and motion planning in tabletop environments,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning feasibility for task and motion planning in tabletop environments,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.799361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b1c66f7-8d93-49ec-87c0-a902a9a1f24a · outbound

This paper cites Learning goal-oriented non-prehensile pushing in cluttered scenes,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Learning goal-oriented non-prehensile pushing in cluttered scenes,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.782153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ce331ba-ca98-415a-af2d-aa59382129b8 · outbound

This paper cites Mask r-cnn,.

Efficiently Manipulating Clutter via Learning and Search-Based Reasoning Mask r-cnn,

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:29.766492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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