Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms | Paper Citation Record

Observation 8b0f724f-2ba3-4665-bb5f-4d448bf51565 · outbound

This paper cites POSE.R: Prediction-based opportunistic sensing for resilient and efficient sensor networks,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms POSE.R: Prediction-based opportunistic sensing for resilient and efficient sensor networks,

Reference 1

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Observation cbb8b78e-ced9-416f-91ff-bff342a093a0 · outbound

This paper cites Decentralized non- communicating multiagent collision avoidance with deep reinforcement learning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Decentralized non- communicating multiagent collision avoidance with deep reinforcement learning,

Reference 2

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Observation 1bd7b204-7853-46c7-aa3e-f78fe19ceae5 · outbound

This paper cites Flexible active safety motion control for robotic obstacle avoidance: A CBF-guided MPC approach,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Flexible active safety motion control for robotic obstacle avoidance: A CBF-guided MPC approach,

Reference 3

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Observation deca12dc-8670-4970-a806-c47f34e20497 · outbound

This paper cites Robust mader: Decentralized multiagent trajectory planner ro- bust to communication delay in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Robust mader: Decentralized multiagent trajectory planner ro- bust to communication delay in dynamic environments,

Reference 4

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Observation 96231850-5918-4285-8c7c-24634ae03a86 · outbound

This paper cites Pointmoseg: Sparse tensor-based end-to-end moving-obstacle segmentation in 3-d lidar point clouds for autonomous driving,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Pointmoseg: Sparse tensor-based end-to-end moving-obstacle segmentation in 3-d lidar point clouds for autonomous driving,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.217849Z

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Observation 73a097b5-8279-407c-a175-9da4f3297534 · outbound

This paper cites SMART: Self- morphing adaptive replanning tree,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms SMART: Self- morphing adaptive replanning tree,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.341433Z

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Observation 1197e43e-c3f4-4287-a50b-ee75257f7014 · outbound

This paper cites Learning relation in crowd using gated graph convolutional networks for drl-based robot navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Learning relation in crowd using gated graph convolutional networks for drl-based robot navigation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.483426Z

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Observation eeebee57-636d-479a-91e0-7c4084fdce34 · outbound

This paper cites Group- aware robot navigation in crowds using spatio-temporal graph atten- tion network with deep reinforcement learning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Group- aware robot navigation in crowds using spatio-temporal graph atten- tion network with deep reinforcement learning,

Reference 8

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Observation e41daacb-21b7-4732-8950-78a386ff9f03 · outbound

This paper cites HeR- DRL:heterogeneous relational deep reinforcement learning for single- robot and multi-robot crowd navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms HeR- DRL:heterogeneous relational deep reinforcement learning for single- robot and multi-robot crowd navigation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.716666Z

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Observation d4d0373f-18f7-42ca-819c-3dbd973215b4 · outbound

This paper cites RRT X: Asymptotically optimal single-query sampling-based motion planning with quick replanning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms RRT X: Asymptotically optimal single-query sampling-based motion planning with quick replanning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.730529Z

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Observation df85fd5e-1fcf-4a2d-ad16-21d33bd8d0e1 · outbound

This paper cites Lifelong Planning A*,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Lifelong Planning A*,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.737624Z

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Observation 7aa985db-9f73-4e18-9b53-a5885cc5845f · outbound

This paper cites Motion planning in dynamic environments using velocity obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Motion planning in dynamic environments using velocity obstacles,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.783789Z

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Observation b5e30e56-2645-464f-9147-1103ebe459e6 · outbound

This paper cites Dynamic motion planning for mobile robots using potential field method,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Dynamic motion planning for mobile robots using potential field method,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:01.873836Z

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Observation f066a6c6-ba77-457d-a650-e9bc0a860691 · outbound

This paper cites Deep-learned collision avoidance policy for distributed multiagent navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Deep-learned collision avoidance policy for distributed multiagent navigation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.017813Z

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Observation adac80f5-99ca-4b6b-8207-db50400c1221 · outbound

This paper cites Towards safe navigation through crowded dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Towards safe navigation through crowded dynamic environments,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.185613Z

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Observation 70f2b0dd-b5a0-435d-97f3-89dd953c6ced · outbound

This paper cites DRL-VO: Learning to navigate through crowded dynamic scenes using velocity obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms DRL-VO: Learning to navigate through crowded dynamic scenes using velocity obstacles,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.334779Z

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Observation 4b83c006-375d-4a9e-9ad8-914b5be010c9 · outbound

This paper cites Environment- adaptive motion planning via reinforcement learning-based trajectory optimization,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Environment- adaptive motion planning via reinforcement learning-based trajectory optimization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.461529Z

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Observation f0977119-459c-4936-b6e7-aa0543b98bd7 · outbound

This paper cites DR-MPC: Deep residual model predictive control for real-world social navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms DR-MPC: Deep residual model predictive control for real-world social navigation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.565805Z

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Observation 075eb99b-90a1-4f05-9fe4-b76fa7be7e74 · outbound

This paper cites Dynamic adaptive dynamic window approach,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Dynamic adaptive dynamic window approach,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.679872Z

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Observation c3f94473-9772-4714-8baf-bfafbac7244e · outbound

This paper cites Online and robust intermittent motion planning in dynamic and changing environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Online and robust intermittent motion planning in dynamic and changing environments,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.753288Z

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Observation ab8d52a3-b76e-4275-b2a5-d4e0e8888b73 · outbound

This paper cites Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.819054Z

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Observation 1e68916b-216d-469e-9603-eefa33fa461a · outbound

This paper cites Obstacle avoidance learning for robot motion planning in human–robot integration environ- ments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Obstacle avoidance learning for robot motion planning in human–robot integration environ- ments,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:02.921845Z

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Observation ac97fd21-4ff6-4572-873e-c843b498254f · outbound

This paper cites Sampling-based methods for motion planning with constraints,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Sampling-based methods for motion planning with constraints,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.006510Z

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Observation 4acb7127-b491-475c-8d98-7aa2a24270e1 · outbound

This paper cites Asymptotically optimal sampling- based motion planning methods,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Asymptotically optimal sampling- based motion planning methods,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.092631Z

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Observation c4ca9ec1-3c46-4480-a1fe-8fc44d7ad414 · outbound

This paper cites Sampling-based motion planning: A comparative review,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Sampling-based motion planning: A comparative review,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.213693Z

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Observation 4b1f7c29-2adc-4561-84d8-fbf9fc78ce29 · outbound

This paper cites Path planning techniques for mobile robots: Review and prospect,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Path planning techniques for mobile robots: Review and prospect,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.311091Z

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Observation 4050d120-08de-42de-b25a-7e3b6f8d9945 · outbound

This paper cites A review on motion planning and obstacle avoidance approaches in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms A review on motion planning and obstacle avoidance approaches in dynamic environments,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.374721Z

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Observation 722dd581-84bf-4c13-b00c-d456c4be4a62 · outbound

This paper cites A survey of robotic motion plan- ning in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms A survey of robotic motion plan- ning in dynamic environments,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.456009Z

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Observation b84053c1-c61d-4c2e-8a4e-c2b907950652 · outbound

This paper cites Past, present and future of path-planning algorithms for mobile robot navi- gation in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Past, present and future of path-planning algorithms for mobile robot navi- gation in dynamic environments,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.539825Z

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Observation 04993423-d14c-4b1e-b24b-44566ed77b2c · outbound

This paper cites Review on motion planning of robotic manipulator in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Review on motion planning of robotic manipulator in dynamic environments,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.617801Z

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Observation f151f775-a894-4f39-80c4-135d45e6d1e4 · outbound

This paper cites Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.685422Z

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Observation b3000fa1-058a-44dc-a9dd-d88680dc3ace · outbound

This paper cites Randomized kinodynamic plan- ning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Randomized kinodynamic plan- ning,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.752185Z

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Observation d9fb228d-7f20-4b60-8f51-c422e910426d · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Sampling-based algorithms for optimal motion planning,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.814835Z

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Observation a51f2bdf-e9b9-4e2c-8ed6-7dc81c03b8b0 · outbound

This paper cites Real-time randomized path planning for robot navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Real-time randomized path planning for robot navigation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.875580Z

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Observation 7dc785b5-7a87-4a3a-b70c-337d4aac2c17 · outbound

This paper cites Replanning with RRTs,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Replanning with RRTs,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:03.944841Z

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Observation d8be37a6-06af-4e37-99a7-137b0fb005ea · outbound

This paper cites Multipartite RRTs for rapid replanning in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Multipartite RRTs for rapid replanning in dynamic environments,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.029016Z

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Observation 18042a4a-debc-435b-9784-4a32f43d8873 · outbound

This paper cites Fast asymptotically optimal path planning in dynamic, uncertain environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Fast asymptotically optimal path planning in dynamic, uncertain environments,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.090573Z

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Observation 53d8b792-3fdf-4c6c-94b1-9d6560fa515e · outbound

This paper cites Asymptotically optimal lazy lifelong sampling- based algorithm for efficient motion planning in dynamic environ- ments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Asymptotically optimal lazy lifelong sampling- based algorithm for efficient motion planning in dynamic environ- ments,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.165034Z

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Observation 4f222a86-94fc-48d0-af04-a304094b9aa3 · outbound

This paper cites Real-time fast marching tree for mobile robot motion planning in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Real-time fast marching tree for mobile robot motion planning in dynamic environments,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.221299Z

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Observation 82b124fc-33b3-46c9-a687-59a277a034b1 · outbound

This paper cites Horizon-based lazy optimal RRT for fast, efficient replanning in dynamic environment,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Horizon-based lazy optimal RRT for fast, efficient replanning in dynamic environment,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.275193Z

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Observation d4f221c6-31ff-4fa1-8766-636c591af410 · outbound

This paper cites An efficient RRT cache method in dynamic environments for path planning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms An efficient RRT cache method in dynamic environments for path planning,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.356477Z

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Observation 296a4139-4464-4bf3-b91f-5ac96e93eab8 · outbound

This paper cites MOD-RRT*: A sampling-based algorithm for robot path planning in dynamic environment,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms MOD-RRT*: A sampling-based algorithm for robot path planning in dynamic environment,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.443974Z

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Observation 1f5f29d9-708d-43d2-9cf7-ca35d29576a5 · outbound

This paper cites Path re-planning design of a cobot in a dynamic environment based on current obstacle configuration,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Path re-planning design of a cobot in a dynamic environment based on current obstacle configuration,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.526599Z

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Observation 37003e7f-1a54-4623-88dd-debdb1b6a49e · outbound

This paper cites RT-RRT: Reverse tree guided real-time path planning/replanning in unpredictable dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms RT-RRT: Reverse tree guided real-time path planning/replanning in unpredictable dynamic environments,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.555923Z

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Observation b66ad6a3-1cbe-495f-9246-ed3ae861ced5 · outbound

This paper cites Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.591753Z

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Observation 4811b48f-c244-4a3f-98b4-757808d01730 · outbound

This paper cites Risk-DTRRT- based optimal motion planning algorithm for mobile robots,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Risk-DTRRT- based optimal motion planning algorithm for mobile robots,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.631056Z

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Observation ed78ceda-d110-4a59-8046-65e129c732e0 · outbound

This paper cites Human- aware path planning with improved virtual doppler method in highly dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Human- aware path planning with improved virtual doppler method in highly dynamic environments,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.662548Z

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Observation 2c60b0e5-bb1b-4193-8af6-c6ee4d5aeee7 · outbound

This paper cites Distributionally robust risk map for learning-based motion planning and control: A semidefinite program- ming approach,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Distributionally robust risk map for learning-based motion planning and control: A semidefinite program- ming approach,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.722472Z

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Observation 35f84507-2675-47ff-b4cf-04b5c4b5803f · outbound

This paper cites Multi-Risk-RRT: An efficient motion planning algorithm for robotic autonomous luggage trolley collection at airports,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Multi-Risk-RRT: An efficient motion planning algorithm for robotic autonomous luggage trolley collection at airports,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.754665Z

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Observation 0e937164-945d-42f8-a751-0e9d8b4de935 · outbound

This paper cites A note on two problems in connexion with graphs,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms A note on two problems in connexion with graphs,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.805798Z

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Observation eeb666fe-ae83-418e-a720-e657cfb2fb16 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms A formal basis for the heuristic determination of minimum cost paths,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.868489Z

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Observation 3bb18f7b-bdfa-485c-95f7-3ddee4c05aeb · outbound

This paper cites The focussed D* algorithm for real-time replanning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms The focussed D* algorithm for real-time replanning,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.892256Z

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Observation e87e8c88-5937-4bf3-812a-e012814fe2b8 · outbound

This paper cites D* lite,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms D* lite,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:04.932155Z

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Observation 2748e78a-ebf8-4103-8945-d5218cd56097 · outbound

This paper cites Multi-objective path-based D* lite,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Multi-objective path-based D* lite,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.001225Z

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Observation 16ff3386-2679-4390-8829-99e9649b02e7 · outbound

This paper cites Bidirectional search strategy for incremental search-based path planning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Bidirectional search strategy for incremental search-based path planning,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.038518Z

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Observation 75d0e7c8-dd58-4e01-b97e-7b8c6d982a7f · outbound

This paper cites SIPP: Safe interval path planning for dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms SIPP: Safe interval path planning for dynamic environments,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.093461Z

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Observation 32b5ec2f-389a-442e-bca6-4832e6f79777 · outbound

This paper cites Planning in domains with cost function dependent actions,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Planning in domains with cost function dependent actions,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.156040Z

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Observation 00a91501-f481-4f99-963d-73663b99cb8f · outbound

This paper cites Anytime safe interval path planning for dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Anytime safe interval path planning for dynamic environments,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.177967Z

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Observation b1f1aab2-6573-4985-8238-789d6099960d · outbound

This paper cites Using state domi- nance for path planning in dynamic environments with moving obsta- cles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Using state domi- nance for path planning in dynamic environments with moving obsta- cles,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.271887Z

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Observation 6f4fb58c-b8ec-40b6-9261-61adc02c2ce7 · outbound

This paper cites Multi-objective safe-interval path planning with dynamic obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Multi-objective safe-interval path planning with dynamic obstacles,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.359733Z

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Observation f43970e4-78a9-4707-be32-3f5848dcdf79 · outbound

This paper cites Dynamic channel: A planning framework for crowd navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Dynamic channel: A planning framework for crowd navigation,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.419874Z

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Observation a4c382f1-f4c8-4ef3-9505-a6de22c9bdf9 · outbound

This paper cites Safe interval motion plan- ning for quadrotors in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Safe interval motion plan- ning for quadrotors in dynamic environments,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.449638Z

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Observation b970dac5-6343-4012-8d77-91623f417879 · outbound

This paper cites Search- based online trajectory planning for car-like robots in highly dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Search- based online trajectory planning for car-like robots in highly dynamic environments,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.504007Z

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Observation 32fb92ed-39f7-475c-a579-7a5cceec95d6 · outbound

This paper cites RAST: Risk-aware spatio-temporal safety corridors for MA V navi- gation in dynamic uncertain environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms RAST: Risk-aware spatio-temporal safety corridors for MA V navi- gation in dynamic uncertain environments,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.539807Z

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Observation f8fadbd9-b6fd-41c9-a592-f05c98911ced · outbound

This paper cites Risk-aware trajectory sam- pling for quadrotor obstacle avoidance in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Risk-aware trajectory sam- pling for quadrotor obstacle avoidance in dynamic environments,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.562106Z

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Observation 56acf657-fd8c-4418-9c7e-56c938ba2899 · outbound

This paper cites Hierarchical motion plan- ning for autonomous vehicles in unstructured dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Hierarchical motion plan- ning for autonomous vehicles in unstructured dynamic environments,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.618727Z

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Observation bebfc2cd-d209-43d1-ae32-e1bbf24e76a5 · outbound

This paper cites Safe lattice planning for motion planning with dynamic obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Safe lattice planning for motion planning with dynamic obstacles,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.645106Z

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Observation 4e0e60ae-2b34-41c5-aa7c-8092f2696da3 · outbound

This paper cites A real-time approach for chance-constrained motion planning with dynamic obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms A real-time approach for chance-constrained motion planning with dynamic obstacles,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.701384Z

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Observation 0df45df2-fce6-4742-8b72-5944f6378851 · outbound

This paper cites Model predictive contouring control for collision avoidance in unstructured dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Model predictive contouring control for collision avoidance in unstructured dynamic environments,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.730394Z

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Observation df42e808-8329-4c6c-9d50-2aff46f0f816 · outbound

This paper cites Chance-constrained optimal path planning with obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Chance-constrained optimal path planning with obstacles,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.787044Z

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Observation ebdca8fb-0611-437a-a4a4-7f1277556b49 · outbound

This paper cites Chance-constrained collision avoidance for MA Vs in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Chance-constrained collision avoidance for MA Vs in dynamic environments,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.816988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e7b121-afe0-423a-8ceb-6a113acefcfd · outbound

This paper cites Scenario-based trajectory optimization in uncertain dynamic environ- ments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Scenario-based trajectory optimization in uncertain dynamic environ- ments,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.872665Z

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Observation f4988f6a-91f7-4228-862a-636426f1888b · outbound

This paper cites Dynamic control barrier function-based model predictive control to safety-critical obstacle-avoidance of mobile robot,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Dynamic control barrier function-based model predictive control to safety-critical obstacle-avoidance of mobile robot,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.930997Z

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Observation ebafcefe-14bb-43ec-8832-cf01f41eb957 · outbound

This paper cites Risk euclidean distance-based model predictive path integral to safety- critical obstacle avoidance,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Risk euclidean distance-based model predictive path integral to safety- critical obstacle avoidance,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:05.958388Z

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Observation a93d16ed-8b7e-456c-a8c5-07862fd8bb24 · outbound

This paper cites Reactive collision avoidance for safe agile navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Reactive collision avoidance for safe agile navigation,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.009095Z

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Unavailable: canonical work link unavailable.

Observation 89d23669-a897-48fb-9fcd-5f227fc537ea · outbound

This paper cites Topology-driven parallel trajectory optimization in dynamic environ- ments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Topology-driven parallel trajectory optimization in dynamic environ- ments,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.039551Z

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Observation 4011df24-6f83-44ae-b7e1-b5f68937525e · outbound

This paper cites Visibility-based proba- bilistic roadmaps for motion planning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Visibility-based proba- bilistic roadmaps for motion planning,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.092089Z

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Observation 8e5e7c58-c552-498e-bdf4-70715457787e · outbound

This paper cites DS-MPEPC: Safe and deadlock-avoiding robot navigation in cluttered dynamic scenes,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms DS-MPEPC: Safe and deadlock-avoiding robot navigation in cluttered dynamic scenes,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.120860Z

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Observation 08e2e186-f946-46e9-a550-f1ba7f437d5b · outbound

This paper cites Reciprocal velocity obstacles for real-time multi-agent navigation,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Reciprocal velocity obstacles for real-time multi-agent navigation,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.159990Z

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Observation 2863260e-0084-4c2d-834e-42635943607f · outbound

This paper cites The hybrid reciprocal velocity obstacle,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms The hybrid reciprocal velocity obstacle,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.173305Z

Source-reported events for the cited work

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Observation f2bff1ad-8b24-40fb-8ba5-f8a4983cfb77 · outbound

This paper cites Relaxing the limitations of the optimal reciprocal collision avoidance algorithm for mobile robots in crowds,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Relaxing the limitations of the optimal reciprocal collision avoidance algorithm for mobile robots in crowds,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.221417Z

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Observation 04b2cfb4-35ec-4f3f-9ac8-fc40772dcbe8 · outbound

This paper cites A VOCADO: Adaptive optimal collision avoidance driven by opinion,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms A VOCADO: Adaptive optimal collision avoidance driven by opinion,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.262212Z

Source-reported events for the cited work

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Observation 055fa996-fe0e-4703-b32c-e080f33cf257 · outbound

This paper cites Smooth and collision-free navigation for multiple robots under differential- drive constraints,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Smooth and collision-free navigation for multiple robots under differential- drive constraints,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.346739Z

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Observation 0c2a69c5-936b-429a-9fbb-3aaa59b36fb5 · outbound

This paper cites Reciprocal collision avoidance with acceleration-velocity obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Reciprocal collision avoidance with acceleration-velocity obstacles,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.382681Z

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Observation f2cf1959-a588-4c12-84e7-230583d2142e · outbound

This paper cites Reciprocal collision avoidance for robots with linear dynamics using LQR-obstacles,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Reciprocal collision avoidance for robots with linear dynamics using LQR-obstacles,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.414054Z

Source-reported events for the cited work

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Observation 1d5f6ddb-eaa1-4443-a9d0-d273a5123345 · outbound

This paper cites Solving the real- time motion planning problem for non-holonomic robots with collision avoidance in dynamic scenes,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Solving the real- time motion planning problem for non-holonomic robots with collision avoidance in dynamic scenes,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.456200Z

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Observation fa541b0d-481d-46cd-86a0-c85b2ac6b3b4 · outbound

This paper cites Path- guided artificial potential fields with stochastic reachable sets for mo- tion planning in highly dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Path- guided artificial potential fields with stochastic reachable sets for mo- tion planning in highly dynamic environments,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.491328Z

Source-reported events for the cited work

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Observation 8334d349-18f7-49aa-80ee-8f6e65f0685f · outbound

This paper cites Hybrid dynamic moving obstacle avoidance using a stochastic reachable set- based potential field,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Hybrid dynamic moving obstacle avoidance using a stochastic reachable set- based potential field,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.532782Z

Source-reported events for the cited work

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Observation 2420160a-c656-49c4-aa89-9758dc27f28f · outbound

This paper cites Socially-aware reactive obstacle avoidance strategy based on limit cycle,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Socially-aware reactive obstacle avoidance strategy based on limit cycle,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.559666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7c9e49-6fee-4522-b508-8f7b8fd94943 · outbound

This paper cites Avoiding dense and dynamic obstacles in enclosed spaces: Application to moving in crowds,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Avoiding dense and dynamic obstacles in enclosed spaces: Application to moving in crowds,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.601683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16bda0e2-5f89-48b7-a4bf-778503dbf3ca · outbound

This paper cites Enhanced adaptive artificial potential field for UA V navigation in dynamic 3D environ- ments with lightweight spherical obstacle map,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Enhanced adaptive artificial potential field for UA V navigation in dynamic 3D environ- ments with lightweight spherical obstacle map,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.639107Z

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Observation f8c9b6cf-7cca-4fb4-8e94-518385539615 · outbound

This paper cites The dynamic window approach to collision avoidance,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms The dynamic window approach to collision avoidance,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.671734Z

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Observation 153f3f87-4ef6-4da1-b27a-6ddefdbb2ee7 · outbound

This paper cites Predictive collision avoidance for the dynamic window approach,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Predictive collision avoidance for the dynamic window approach,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.692619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5381d69-d910-4a27-847b-cff6af55f179 · outbound

This paper cites Long-term dynamic window approach for kinodynamic local planning in static and crowd environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Long-term dynamic window approach for kinodynamic local planning in static and crowd environments,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.732677Z

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Observation 2c60fca2-ca0d-4ac1-97bd-bab1f6c56e55 · outbound

This paper cites Elastic bands: Connecting path planning and control,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Elastic bands: Connecting path planning and control,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.775673Z

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Observation 7e4594bc-ad2e-48f5-99ab-6e1c932dad5a · outbound

This paper cites Safe and efficient dynamic window approach for differential mobile robots with stochastic dy- namics using deterministic sampling,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Safe and efficient dynamic window approach for differential mobile robots with stochastic dy- namics using deterministic sampling,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.804148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f804c6b9-df34-4647-ba8f-149a99394b37 · outbound

This paper cites Gradient field- based dynamic window approach for collision avoidance in complex environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Gradient field- based dynamic window approach for collision avoidance in complex environments,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.828952Z

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Observation f05b3529-19f0-4c59-8457-e8cebba07e4a · outbound

This paper cites Towards optimally decentralized multi-robot collision avoidance via deep re- inforcement learning,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Towards optimally decentralized multi-robot collision avoidance via deep re- inforcement learning,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.869696Z

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Observation 39790658-1adb-44e9-be33-9621e906e0ef · outbound

This paper cites Spatiotemporal attention enhances lidar-based robot navigation in dynamic environments,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Spatiotemporal attention enhances lidar-based robot navigation in dynamic environments,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.913144Z

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Observation ccb02bf5-5c47-4e08-b56d-7327809c645b · outbound

This paper cites Towards multi- modal perception-based navigation: A deep reinforcement learning method,.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Towards multi- modal perception-based navigation: A deep reinforcement learning method,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-04T03:03:06.969145Z

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