GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments | Paper Citation Record

Observation 9668b511-cbb9-460f-b969-0bf6bb54aa35 · outbound

This paper cites Artificial intelligence: An overview.Engineering applications of artificial intelligence, pages 3–22, 2024.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Artificial intelligence: An overview.Engineering applications of artificial intelligence, pages 3–22, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:11.152634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57b04b7a-d403-4e1e-b099-8fae57ac329e · outbound

This paper cites Search and rescue operation using uavs: A case study.Expert Systems with Applications, 178:114937, 2021.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Search and rescue operation using uavs: A case study.Expert Systems with Applications, 178:114937, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:10.887784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a5a4ff3d-57e0-4c31-9ad0-e4be60c03563 · outbound

This paper cites Reinforcement learning for mobile robotics exploration: A survey.IEEE Transactions on Neural Networks and Learning Systems, 34(8):3796–3810, 2021.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Reinforcement learning for mobile robotics exploration: A survey.IEEE Transactions on Neural Networks and Learning Systems, 34(8):3796–3810, 2021

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:10.551164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a377d6a-cd4b-44c5-be73-f565d4b2d35b · outbound

This paper cites A survey of object goal navigation.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments A survey of object goal navigation.IEEE Trans

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:10.142529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74bd51ff-b3c5-444f-a0e2-95f8938b3e60 · outbound

This paper cites Online object searching by a humanoid robot in an unknown environment.IEEE Robot.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Online object searching by a humanoid robot in an unknown environment.IEEE Robot

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:09.780337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b89f29e8-265f-4b2c-bbff-b7a41a445de1 · outbound

This paper cites Star-searcher: A complete and efficient aerial system for autonomous target search in complex unknown environments.IEEE Robot.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Star-searcher: A complete and efficient aerial system for autonomous target search in complex unknown environments.IEEE Robot

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:09.520675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f6c528a-8ba0-431c-80b9-e04a197f3a23 · outbound

This paper cites Hierarchical semantic knowledge-based object search method for household robots.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Hierarchical semantic knowledge-based object search method for household robots.IEEE Trans

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:09.292824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 817eb796-b5ab-466e-ac25-91a4e384878c · outbound

This paper cites Hierar- chical deep reinforcement learning: integrating temporal abstraction and intrinsic motivation.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Hierar- chical deep reinforcement learning: integrating temporal abstraction and intrinsic motivation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:09.144615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 281ea48c-a03c-493f-ad89-c0f0a9776638 · outbound

This paper cites Efficient robotic object search via hiem: Hierarchical policy learning with intrinsic-extrinsic modeling.IEEE Robot.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Efficient robotic object search via hiem: Hierarchical policy learning with intrinsic-extrinsic modeling.IEEE Robot

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:08.958177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6dde5de3-7587-4487-81f4-c1df2d657e31 · outbound

This paper cites Goat-bench: A benchmark for multi-modal lifelong navigation.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Goat-bench: A benchmark for multi-modal lifelong navigation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:08.778854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ee93ab6-8db4-4435-b1d0-251c48ec3734 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Do as i can, not as i say: Grounding language in robotic affordances

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:52.771409Z

Source-reported events for the cited work

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Observation f4cd7526-be64-4a46-9cfe-64290d751ffa · outbound

This paper cites Pre-trained language models for interactive decision-making.Advances in Neural Information Processing Systems, 35:31199–31212, 2022.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Pre-trained language models for interactive decision-making.Advances in Neural Information Processing Systems, 35:31199–31212, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:08.527024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 586866e8-162b-4087-9895-1ba08c477d3b · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:52.902305Z

Source-reported events for the cited work

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Observation 709b33df-d42e-4b38-a9fb-dde544cf81ea · outbound

This paper cites Larimar: Large Language Models with Episodic Memory Control.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Larimar: Large Language Models with Episodic Memory Control

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:52.955866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e9ff3c-e49e-405a-b9c6-d24b83bdbf3e · outbound

This paper cites Autonomous exploration in a cluttered environment for a mobile robot with 2d-map segmentation and object detection.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Autonomous exploration in a cluttered environment for a mobile robot with 2d-map segmentation and object detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:08.346131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fdf6dfb1-c6c1-4c1a-8cce-d33beed7cd55 · outbound

This paper cites Autonomous exploration and simultane- ous object search using aerial robots.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Autonomous exploration and simultane- ous object search using aerial robots

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:08.142018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0785587b-10a9-47fd-8880-4155b5d148c4 · outbound

This paper cites Finding things in the unknown: Semantic object-centric exploration with an mav.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Finding things in the unknown: Semantic object-centric exploration with an mav

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:07.952889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e571753-3888-4c05-b3ee-99dcdaf9d983 · outbound

This paper cites Autonomous teamed exploration of subterranean environments using legged and aerial robots.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Autonomous teamed exploration of subterranean environments using legged and aerial robots

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:07.806071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3730226-5fab-434c-9ded-8303e88aae51 · outbound

This paper cites Trajectory planning and the target search by the mobile robot in an environment using a behavior-based neural network approach.Robotica, 38(9):1627–1641, 2020.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Trajectory planning and the target search by the mobile robot in an environment using a behavior-based neural network approach.Robotica, 38(9):1627–1641, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:07.660814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ebae737f-25c3-4075-a105-1d4fd9601e69 · outbound

This paper cites Real- time object detection network in uav-vision based on cnn and transformer.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Real- time object detection network in uav-vision based on cnn and transformer.IEEE Trans

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:07.521792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d34b40fc-e0c2-4ca3-afdc-924eb6a8b3df · outbound

This paper cites GOAT: GO to Any Thing.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments GOAT: GO to Any Thing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:53.414768Z

Source-reported events for the cited work

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Observation 7dd8c188-01ec-4422-b1ba-585c48f17694 · outbound

This paper cites Visual navigation with multiple goals based on deep reinforcement learning.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Visual navigation with multiple goals based on deep reinforcement learning.IEEE Trans

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:07.380050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9bf3318-7e2b-4606-908c-c5a9f755f96a · outbound

This paper cites Deep reinforcement learning based computation offloading and trajectory planning for multi-uav cooperative target search.IEEE J.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Deep reinforcement learning based computation offloading and trajectory planning for multi-uav cooperative target search.IEEE J

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:07.215896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00ff1ed4-7fb3-4315-a3df-36bf282cc847 · outbound

This paper cites Target-driven visual navigation in indoor scenes using deep reinforcement learning.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Target-driven visual navigation in indoor scenes using deep reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:07.056459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0eb5e985-8219-49f4-9663-79d0d58e7e13 · outbound

This paper cites Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning.CAAI Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning.CAAI Trans

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:06.898484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50b9c3d1-cf8f-46f0-8d93-85fdbca974c1 · outbound

This paper cites Drl-searcher: A unified approach to multirobot efficient search for a moving target.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Drl-searcher: A unified approach to multirobot efficient search for a moving target.IEEE Trans

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:06.758254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09674485-aedd-4911-a7d1-bb9a0aeeb7c7 · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:06.607575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 032b3e2a-1f93-40e5-b1b5-fff48dcc3418 · outbound

This paper cites Soat: A scene-and object-aware transformer for vision-and-language navigation.Adv.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Soat: A scene-and object-aware transformer for vision-and-language navigation.Adv

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:06.454961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a1244df8-6046-49ed-af7a-ec6fc209d756 · outbound

This paper cites Envedit: Environment editing for vision-and-language navigation.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Envedit: Environment editing for vision-and-language navigation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:06.290438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e973ff99-9506-4e8d-a7e5-18d9ff0d4bd7 · outbound

This paper cites Kerm: Knowledge enhanced reasoning for vision-and-language navigation.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Kerm: Knowledge enhanced reasoning for vision-and-language navigation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:06.127514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbc8c791-2e0c-4e9f-94aa-c0e3670204e5 · outbound

This paper cites Learning hierarchical interactive multi-object search for mobile manipulation.IEEE Robot.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Learning hierarchical interactive multi-object search for mobile manipulation.IEEE Robot

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:06.010923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f377bc55-64ff-4ed5-9379-acdbefac8b1b · outbound

This paper cites Language-grounded dynamic scene graphs for interactive object search with mobile manipulation.IEEE Robot.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Language-grounded dynamic scene graphs for interactive object search with mobile manipulation.IEEE Robot

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:05.877865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bcf970ce-90f1-43f4-bf84-3af1d949aa88 · outbound

This paper cites V oxposer: Composable 3d value maps for robotic manipulation with language models.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments V oxposer: Composable 3d value maps for robotic manipulation with language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:05.735079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee2f981a-61f3-4a73-83b9-f5e6b783fa2e · outbound

This paper cites cat-shaped mug.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments cat-shaped mug

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:05.537607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 82a73180-dda5-4fa4-843a-f8a821be0f54 · outbound

This paper cites Fael: fast autonomous exploration for large-scale environments with a mobile robot.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Fael: fast autonomous exploration for large-scale environments with a mobile robot

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:05.416899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7490651e-a91f-4e99-998f-1f36e17e5409 · outbound

This paper cites Tare: A hierarchical framework for efficiently exploring complex 3d environments.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Tare: A hierarchical framework for efficiently exploring complex 3d environments

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:05.279878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c9672dc-dadb-4c07-be09-987b24d97cf4 · outbound

This paper cites Efp: Efficient frontier-based autonomous uav exploration strategy for unknown environments.IEEE Robotics and Automation Letters, 9(3):2941–2948, 2024.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Efp: Efficient frontier-based autonomous uav exploration strategy for unknown environments.IEEE Robotics and Automation Letters, 9(3):2941–2948, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:05.119086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96981c0c-85fa-42bc-952e-76fee177261e · outbound

This paper cites Seal: Self-supervised embodied active learning using exploration and 3d consistency.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Seal: Self-supervised embodied active learning using exploration and 3d consistency

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:04.945272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26c64c4a-5110-40f2-9f09-1c6ba86de102 · outbound

This paper cites Vision–language navigation with beam-constrained global normalization.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Vision–language navigation with beam-constrained global normalization.IEEE Trans

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:04.735346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 21312237-1964-4679-8e0a-328399f52d58 · outbound

This paper cites Towards learning a generalist model for embodied navigation.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Towards learning a generalist model for embodied navigation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:04.476627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9c5e771a-a6bf-4975-be75-a4b28972e654 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks, 2024.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Grounded sam: Assembling open-world models for diverse visual tasks, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:04.334487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b98e04f6-8bd0-44d8-a6b6-3b2d85610a71 · outbound

This paper cites Recognize anything: A strong image tagging model.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Recognize anything: A strong image tagging model

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:04.148096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 411674bb-8831-459a-abe5-7e5c8f4bd84b · outbound

This paper cites Semantic octree mapping and shannon mutual information computation for robot exploration.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Semantic octree mapping and shannon mutual information computation for robot exploration.IEEE Trans

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:03.947180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f618715-b3f5-4960-ba8e-af395038ba2c · outbound

This paper cites Gaussian mixture models.Encycl.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Gaussian mixture models.Encycl

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:03.750602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9bd88391-5189-4350-a562-bf556fe8d9e5 · outbound

This paper cites On the Diagram of Thought.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments On the Diagram of Thought

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:56.870345Z

Source-reported events for the cited work

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Observation 24d542e2-422d-4b88-ac4c-cb4ace839d68 · outbound

This paper cites Robust and efficient quadrotor trajectory generation for fast autonomous flight.IEEE Robot.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Robust and efficient quadrotor trajectory generation for fast autonomous flight.IEEE Robot

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:03.598067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b22fdbe9-34dd-4c87-90e7-24af7e221af9 · outbound

This paper cites Fast-lio2: Fast direct lidar-inertial odometry.IEEE Trans.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Fast-lio2: Fast direct lidar-inertial odometry.IEEE Trans

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:03.394383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86a2769f-dc77-4e45-ac2f-660a3392c88b · outbound

This paper cites GPT-4 Technical Report.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments GPT-4 Technical Report

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:57.403419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b270246-0af4-43b9-a099-7c7896339764 · outbound

This paper cites Probabilistic robotics.Commun.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Probabilistic robotics.Commun

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:03.259255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5d4149d-3f00-422e-8c50-e1b44c22c15e · outbound

This paper cites Towards responsible development of generative ai for education: An evaluation-driven approach.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Towards responsible development of generative ai for education: An evaluation-driven approach

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:03.011110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50a99d9b-c4dc-4507-a71f-34a19f0c7a7f · outbound

This paper cites Kimi, 2023.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Kimi, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:02.805671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58a5b803-b82b-4bdb-a016-e42ff4a6db8c · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:02.645976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d3f0aea-bc95-4222-956d-8bf3eed21275 · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:02.456180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 35825a0e-4ad7-455a-93ed-054229a838a5 · outbound

This paper cites With each new experience, it updates the target object’s location while reducing the influence of outdated data.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments With each new experience, it updates the target object’s location while reducing the influence of outdated data

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:02.270027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47e635c0-dbcc-4e24-a021-1ee64dd5d4d6 · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:02.107001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eec6a2fd-0b1f-4b14-b863-492e547116a1 · outbound

This paper cites 2 (c2) and Fig.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments 2 (c2) and Fig

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:01.922004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c32eab59-753f-419c-9b44-8648a4f299fa · outbound

This paper cites The real- time point cloud is divided into N regions, each uniquely corresponding to a candidate proposition Di ∈ Dfrom the environmental panorama.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments The real- time point cloud is divided into N regions, each uniquely corresponding to a candidate proposition Di ∈ Dfrom the environmental panorama

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:01.782233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5642234e-a381-4e1b-b16f-8936e71f5e56 · outbound

This paper cites To quantify the degree of redundancy, a sparse roadmap [35] is constructed for the obstacle-free regions the robot has already traversed.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments To quantify the degree of redundancy, a sparse roadmap [35] is constructed for the obstacle-free regions the robot has already traversed

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:01.607240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cf425b14-e4d3-424d-9a87-ceed8e534999 · outbound

This paper cites The penalty Cd,i for candidateD i is: Cd,i = 1−cos(θ i −θ t−1)(10) whereθ i is the direction ofD i, andθ t−1 is the direction at the previous timestep.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments The penalty Cd,i for candidateD i is: Cd,i = 1−cos(θ i −θ t−1)(10) whereθ i is the direction ofD i, andθ t−1 is the direction at the previous timestep

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:01.456938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f388bd5b-59a2-4ec3-96a1-82a85442869a · outbound

This paper cites If D∗ fails to meet the criteria below, the next best-ranked direction in D∗ is selected as the newD ∗.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments If D∗ fails to meet the criteria below, the next best-ranked direction in D∗ is selected as the newD ∗

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:01.305564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eac41a2d-408a-4892-911c-8d25c76d6866 · outbound

This paper cites Additionally, the distance from the target cell to the nearest occupied cell must exceed the robot’s size, providing sufficient clearance for safe navigation.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Additionally, the distance from the target cell to the nearest occupied cell must exceed the robot’s size, providing sufficient clearance for safe navigation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:01.130546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a0c4008-75e2-421e-9513-edc8f7dadb80 · outbound

This paper cites This ensures sufficient travel distance and prevents the robot from halting upon reaching the local target during DoUT reasoning cycles, thereby maintaining continuous movement.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments This ensures sufficient travel distance and prevents the robot from halting upon reaching the local target during DoUT reasoning cycles, thereby maintaining continuous movement

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:00.971367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce1f6302-e286-4015-b1d9-7624c43ca81a · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:00.777483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fb1492b-587c-4be6-be2f-a2e906a171df · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:00.605360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b26ad72d-b37a-4684-b116-0bdbff8dded6 · outbound

This paper cites This dependence increases system complexity and reduces reasoning efficiency, as the model must continuously retrieve and process external data.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments This dependence increases system complexity and reduces reasoning efficiency, as the model must continuously retrieve and process external data

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:00.421567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3b0a8b0-3411-48a6-9234-224abf84c411 · outbound

This paper cites This limitation restricts the robot’s ability to respond effectively to rapidly changing conditions.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments This limitation restricts the robot’s ability to respond effectively to rapidly changing conditions

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:00.252553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba348ce2-8224-465f-9b5d-d5be4f6f8e1f · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:00.136866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e45691f6-aeba-4798-b286-9cae52cab60b · outbound

This paper cites This design achieves decoupling, reduces system complexity, and mitigates risks associated with unauthorized or inconsistent memory access.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments This design achieves decoupling, reduces system complexity, and mitigates risks associated with unauthorized or inconsistent memory access

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:59.978711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4cc7f618-e96b-44d2-9b54-c3cf74037bf4 · outbound

This paper cites This approach enhances decision-making speed and accelerates robotic responses.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments This approach enhances decision-making speed and accelerates robotic responses

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:59.850079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f87f816a-ce8a-4fd7-b02e-51284862539d · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:50:59.713235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b578320-b7be-451d-84c2-270c99f14b34 · outbound

This paper cites an unresolved cited work.

GET: Goal-directed Exploration and Targeting for Large-Scale Unknown Environments Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:50:59.553035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers