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Paper Citation Record · LEDGER

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning

As of 5 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2503.03509.

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

pith.paper-citation-record.v1
2503.03509 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T01:19:36.679590Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T01:50:43.992888Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T18:35:59.119100Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact5
  • verified fuzzy40
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6e41e82-1b0f-417e-98eb-664c551b2828 · outbound

This paper cites Subdimensional expansion for multirobot path planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Subdimensional expansion for multirobot path planning

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:b7569a90926068976e42dbf60a38c6e9c533216f3f7b122ec3c3fa464d9a4783

Observation ff890989-ec5a-4b78-8add-63cd2a613d77 · outbound

This paper cites Asymptotically optimal kinodynamic planning using bundles of edges.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Asymptotically optimal kinodynamic planning using bundles of edges

Reference 2

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raw_fallback, observed 2026-05-23T01:22:22.107761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:8427f354eb45d4046677617132599649d0f68202edbbfe933d938e7f770f684f

Observation 81022133-7d87-4c20-a166-ab50c7652339 · outbound

This paper cites A review of path-planning approaches for multiple mobile robots.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning A review of path-planning approaches for multiple mobile robots

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:6f41cd9bac74e060a4ca57af9f6ee3ff4bc5f0ef96bd284848b5812e820f6b99

Observation 6c5ef1f9-b1e5-4503-8244-298a814100ee · outbound

This paper cites Task and Motion Informed Trees (TMIT*): Almost-surely asymptotically optimal inte- grated task and motion planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Task and Motion Informed Trees (TMIT*): Almost-surely asymptotically optimal inte- grated task and motion planning

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.101165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:17ad6d0b8187dc8c67d8c964bea2db218a6cda442a6a6d14a5bf3d8e70f40c49

Observation 3e9103ad-79ba-4b51-8dc6-ac4b5815dc3f · outbound

This paper cites Task planning with continuous actions and nondeterminis- tic motion planning queries.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Task planning with continuous actions and nondeterminis- tic motion planning queries

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.097775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:b661cfdbf44719985ad67af98b219f3a6be8ec584858e9a59f2c2f310deb2a62

Observation 466a4e5d-bce7-4fdb-b85a-c79741a93ae3 · outbound

This paper cites Sampling-Based Motion Planning on Sequenced Mani- folds.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Sampling-Based Motion Planning on Sequenced Mani- folds

Reference 6

Resolution
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raw_fallback, observed 2026-05-23T01:22:22.094672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:d70cd669da060256fe4b000d9b12ed5ee236e0d34af5a976c5ea4279869b5c3f

Observation d543cfe8-19b4-4069-bff5-362e9119378b · outbound

This paper cites Optimal, sampling-based manipulation planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Optimal, sampling-based manipulation planning

Reference 7

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raw_fallback, observed 2026-05-23T01:22:22.086495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:29e9df1424af424fa9286f4923619f5681ea1548f7fc4dc6733851e6b40db6cd

Observation 9c3e7263-a855-4f8a-93e9-7dc5975a0d16 · outbound

This paper cites Optimal multirobot path planning on graphs: Complete algorithms and effective heuristics.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Optimal multirobot path planning on graphs: Complete algorithms and effective heuristics

Reference 8

Resolution
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raw_fallback, observed 2026-05-23T01:22:22.091221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:c4369d53cf41d788cca3a871520db0c42983f725d2990d4ca8f889acd4d360db

Observation f79362fd-a865-4639-9763-0e699f8a96d3 · outbound

This paper cites Multi-agent path finding–an overview.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Multi-agent path finding–an overview

Reference 9

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raw_fallback, observed 2026-05-23T01:22:22.082294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:ed26d8f74700387fc14732dbe883659f57ba9a14a8330c1f523a247dd30abf16

Observation fd497905-4829-4336-9f9d-cc714f999893 · outbound

This paper cites Lifelong multi-agent path finding for online pickup and delivery tasks.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Lifelong multi-agent path finding for online pickup and delivery tasks

Reference 10

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raw_fallback, observed 2026-05-23T01:22:22.224871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:714257db53bb4e96d187ce74a013e948a7ee709d6b3ec2739f4019adee23f5b0

Observation 255d2612-de6e-4705-8f94-5d729175c4c2 · outbound

This paper cites A multi-label A* algorithm for multi-agent pathfinding.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning A multi-label A* algorithm for multi-agent pathfinding

Reference 11

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raw_fallback, observed 2026-05-23T01:22:22.221683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:b509fdc0ec8819ba4bb23d0c12105f9def47e7053ab2e7b7415103c54d460c19

Observation 50b9e749-23fd-4bf2-b2b9-dd189f774a9e · outbound

This paper cites db- cbs: Discontinuity-bounded conflict-based search for multi-robot kin- odynamic motion planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning db- cbs: Discontinuity-bounded conflict-based search for multi-robot kin- odynamic motion planning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.217976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:4db5358e30750f69ef209ad831f821c33b91f03eae6b61280af0b66d5fe5c1fe

Observation 6b580009-791c-43f4-9a06-9e631038d278 · outbound

This paper cites dRRT*: Scalable and informed asymptotically-optimal multi-robot motion planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning dRRT*: Scalable and informed asymptotically-optimal multi-robot motion planning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.207594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:6f135d4e02555c2a146f9ec3545982ec9b4c585492a4eb42ccd9350a7aeb6791

Observation a4f421c4-aa91-4324-bd69-d4c5bc6c7801 · outbound

This paper cites Using a PRM planner to compare centralized and decoupled planning for multi-robot systems.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Using a PRM planner to compare centralized and decoupled planning for multi-robot systems

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.204054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:43081e050ec98c3319af0b19126784f723afa2d1cea471072ff68c004af33513

Observation 3691f5f1-2682-4f0e-b29b-8e53bf74ee35 · outbound

This paper cites Multilevel motion planning: A fiber bundle formulation.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Multilevel motion planning: A fiber bundle formulation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.200566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:1d3b9ae90f3851786e8ae710bd18c06bc923ea7594f4cea24e976e2d353464a3

Observation 9536b696-fe4d-4f7e-8ff9-1810923725ba · outbound

This paper cites Long-horizon multi-robot rearrangement planning for construction assembly.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Long-horizon multi-robot rearrangement planning for construction assembly

Reference 16

Resolution
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raw_fallback, observed 2026-05-23T01:22:22.197038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:d83b0b4fd3fe247be3d52f0b2deea256a209dd1ad26b69eafebc5937d63c3b3d

Observation 703b6ea0-75fc-4761-a4da-0680abc4b15c · outbound

This paper cites Fast-dRRT*: Efficient Multi-Robot Motion Planning for Automated Industrial Manufacturing.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Fast-dRRT*: Efficient Multi-Robot Motion Planning for Automated Industrial Manufacturing

Reference 17

Resolution
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arxiv_id, observed 2026-05-23T01:22:20.839329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:c705e036420c984da281bd576a78357aaa266aaba5cbd454512a97861a99ffd9

Observation e9b79782-3a5f-49a0-864b-27b743ff156e · outbound

This paper cites Cooperative Task and Motion Planning for Multi-Arm Assembly Systems.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Cooperative Task and Motion Planning for Multi-Arm Assembly Systems

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:22:20.818277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:c4fe176a4bfe3997d365fcdb8e5e36da9283717fc881c020846ce104a457871d

Observation 50d35ca8-e977-4d70-b72c-49cc7aaddad2 · outbound

This paper cites Rapidly-exploring random trees: Progress and prospects.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Rapidly-exploring random trees: Progress and prospects

Reference 19

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raw_fallback, observed 2026-05-23T01:22:22.193459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:39f982e5d7d755c36a1b8d14fae0dcb2fb8602c183f9442beb1bfdadaf3cfff5

Observation 98f3d637-a119-481e-bda6-5fdc8e0712c2 · outbound

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

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces

Reference 20

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raw_fallback, observed 2026-05-23T01:22:22.189984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:919cf6805899ea125d3e1be2f9f9cf2219fff3f3109ab98e0467b3b4da0b031b

Observation a35a3145-81e8-45a0-9c16-cccd6963e049 · outbound

This paper cites Finding a needle in an exponential haystack: Discrete RRT for exploration of implicit roadmaps in multi-robot motion planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Finding a needle in an exponential haystack: Discrete RRT for exploration of implicit roadmaps in multi-robot motion planning

Reference 21

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raw_fallback, observed 2026-05-23T01:22:22.186219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:d09e052111d4785747909675e75acc3dc5ae105ea9fb9e3bed091fcf731a38c3

Observation e3e97174-bc5b-4c7f-a600-683bf9568114 · outbound

This paper cites Conflict-based search for optimal multi-agent pathfinding.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Conflict-based search for optimal multi-agent pathfinding

Reference 22

Resolution
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raw_fallback, observed 2026-05-23T01:22:22.182330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:697c884536790c32c0851fced4aa10e82f3c84f2a414b703c2bf7ba6743ec278

Observation 073357a7-4cb2-46a1-b686-4118226ec57a · outbound

This paper cites Representation- optimal multi-robot motion planning using conflict-based search.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Representation- optimal multi-robot motion planning using conflict-based search

Reference 23

Resolution
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raw_fallback, observed 2026-05-23T01:22:22.176925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:bed3eac62e9b4bac2a626ecacaa7c0e640b32f2cc8ca4abac30a205872f72279

Observation 48ca2e8e-b72e-4f76-86e3-bec0a274ad91 · outbound

This paper cites Conflict-Based Search for Multi-Robot Motion Planning with Kinodynamic Constraints.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Conflict-Based Search for Multi-Robot Motion Planning with Kinodynamic Constraints

Reference 24

Resolution
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raw_fallback, observed 2026-05-23T01:22:22.170528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:ea5aebbffc0866544900e965078a226a51d9336cc0263317f2cba041ccf16db6

Observation c09b02f7-dea3-4dec-abc4-7c39642eb514 · outbound

This paper cites Prioritized motion planning for multiple robots.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Prioritized motion planning for multiple robots

Reference 25

Resolution
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raw_fallback, observed 2026-05-23T01:22:22.167234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:1326e791c8d573fff796eef585ab08943875a94bb5a8d82765283550f30e1b95

Observation 3c77ef1a-b56e-47b9-b158-e8d419202bd6 · outbound

This paper cites Quick Multi-Robot Motion Planning by Combining Sampling and Search.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Quick Multi-Robot Motion Planning by Combining Sampling and Search

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:22:20.833118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:420a3881c34a5879ef7a16c10966ed2e16c7539013f12a5145ec096a27393565

Observation 5f43a822-9b1b-45e8-abda-e1f6ca84aba7 · outbound

This paper cites Stop-N-Go: Search-based Conflict Resolution for Motion Planning of Multiple Robotic Manipulators.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Stop-N-Go: Search-based Conflict Resolution for Motion Planning of Multiple Robotic Manipulators

Reference 27

Resolution
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arxiv_id, observed 2026-05-23T01:22:20.845789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:cb7762227cc5985bd2539bcfb263e13532cb70ab648d257584b635ddf430ae1f

Observation ad84fa43-7135-466a-9012-cf0b1bf4ece2 · outbound

This paper cites Searching with consistent prioritization for multi-agent path finding.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Searching with consistent prioritization for multi-agent path finding

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.164103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:1450278f6f2cb032d627199ce602f475a6c11b520602621a532ac544739260ab

Observation 639982d2-01df-4fae-a152-64abd2aba947 · outbound

This paper cites ICBS: The improved conflict-based search algorithm for multi-agent pathfinding.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning ICBS: The improved conflict-based search algorithm for multi-agent pathfinding

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.160745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:42f28078b6c8b657295b959ff78c8fe5bfa0dcb569c08158b40831575be67c52

Observation eccf97e5-7682-4f3e-b24b-de4e98cb1fc3 · outbound

This paper cites EECBS: A bounded-suboptimal search for multi-agent path finding.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning EECBS: A bounded-suboptimal search for multi-agent path finding

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.157258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:5b19effa4bc3740841b42021ba934d66fb8381a5b402ba6b918985ef10b6fb28

Observation 5e0af3c9-d42f-4981-86af-e498e4ecd18b · outbound

This paper cites Research challenges and opportunities in multi-agent path finding and multi-agent pickup and delivery problems.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Research challenges and opportunities in multi-agent path finding and multi-agent pickup and delivery problems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.210996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:cb823edfa76930fedccb5066ae4343689d8fdc5f65afeecc02ac04ad55b6dbd1

Observation 5ad694e9-976e-40ad-8d64-37e4508db2f6 · outbound

This paper cites Fools Rush in Where Angels Fear to Tread in Multi-Goal CBS.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Fools Rush in Where Angels Fear to Tread in Multi-Goal CBS

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.153842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:35a51327ee5e8356b6ca28bbfd7b254dc224d2e9a765636675be43438374be9c

Observation 0b0c1bf2-eea2-4043-b4fb-f7db3714f0e6 · outbound

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

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Sampling-based algorithms for optimal motion planning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.150529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:5d5db99ae4cea5e7fb320fb29c30e4294883fcfb32c04c352a3a188eddf63e01

Observation d0664309-f168-4332-b7eb-a6a4e4c1781d · outbound

This paper cites Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling- based path planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling- based path planning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.147285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:e865c7beb7a5a05d3569c912a89eb23f5d48530ac815c8847549812b54986ec1

Observation 7eb05768-1ff1-4fff-b289-87b295842422 · outbound

This paper cites Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.214408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:79a625d51bae3d6c601f5a7edbda31f12d520a8fee5bc15f2589908e682d9959

Observation 7c1af5ad-1b83-4421-9de4-46240173e093 · outbound

This paper cites Effective metrics for multi-robot motion-planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Effective metrics for multi-robot motion-planning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.143876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:4d8599a5ed4148f4d57db0029fb4cb3b524098b872fb44c5cc84702d3d7453a3

Observation 42d2905d-a36a-43fa-a8bc-a481be741068 · outbound

This paper cites Accelerating sampling-based optimal path planning via adaptive informed sampling.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Accelerating sampling-based optimal path planning via adaptive informed sampling

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.140426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:36f182da3d3d2de38991ce158538ff15d606c6c7deb25ee4cc57a4bfbc1af745

Observation 17435f18-c525-43db-93fe-31d981a840fe · outbound

This paper cites Adaptively Informed Trees (AIT*): Fast asymptotically optimal path planning through adaptive heuristics.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Adaptively Informed Trees (AIT*): Fast asymptotically optimal path planning through adaptive heuristics

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.136719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:680d81c69a0d88f7bea81a987a4da961633631bdd3389f64e55e51da18b82d94

Observation bf29ac70-e7da-4c2f-8081-b2cd93cca2b2 · outbound

This paper cites Batch informed trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Batch informed trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.132882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:6891e47e7b3ef2c59b108c2319df407ceab2463c6ac15b34a4a0c76a7175902c

Observation 1dc03cf3-2158-4181-80ce-85db992ae3c4 · outbound

This paper cites Creating high-quality paths for motion planning.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Creating high-quality paths for motion planning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.129473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:331abd34314fd8de6cb6244364872d1effe62c0b8b009d63751404e0ca591c41

Observation 39b1fc6f-6de0-476d-aea1-695c706e4edd · outbound

This paper cites The Pinocchio C++ library – A fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning The Pinocchio C++ library – A fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.125933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:b06be7a4a912de8befbe8b50d7905f62a6a03071448a51c86e943b0d011e2429

Observation 66486ebf-82fc-46fb-88fc-70cdb1d0e821 · outbound

This paper cites Towards computing low-makespan solutions for multi-arm multi-task planning problems.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Towards computing low-makespan solutions for multi-arm multi-task planning problems

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.121470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:ea586d5ff6845aca9d7d986331446cf51d1d01931d3ad2a78c6049db0946e9ed

Observation 0ca6dd26-e8db-42ea-8332-11ead9246afa · outbound

This paper cites Towards computing low-makespan solutions for multi-arm multi-task planning problems.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Towards computing low-makespan solutions for multi-arm multi-task planning problems

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:22:20.825054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:1bcada415d4677ca353959f5235ba40d645ee2dc00968a578c28759ce7e2e070

Observation 9befabc8-aee9-43ee-a08f-3b7b73f2b40e · outbound

This paper cites Using experience to improve constrained planning on foliations for multi-modal problems.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Using experience to improve constrained planning on foliations for multi-modal problems

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.117443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:9f82174f3610974a18f26606e930de31d2407e786cc3fd418084d4740aa5e0e2

Observation e1bfb647-f869-498e-87d7-a7b2570be190 · outbound

This paper cites Effort informed roadmaps (EIRM*): Efficient asymptotically optimal multiquery planning by actively reusing validation effort.

Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning Effort informed roadmaps (EIRM*): Efficient asymptotically optimal multiquery planning by actively reusing validation effort

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T01:22:22.114056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:19:36.679590Z digest=sha256:e0d57801e4a02b552a2e9090ccd9e0110ad76f7c0df150581a5469466c496ad3

Pith citing papers

Observation 09b4d657-f17a-43f8-b273-4598d7e8094f · inbound

AO-ARC: Almost-Surely Asymptotically Optimal Multi-Robot Motion Planning with ARC cites this paper.

AO-ARC: Almost-Surely Asymptotically Optimal Multi-Robot Motion Planning with ARC Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-01T18:35:59.120492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T01:50:43.992888Z digest=sha256:b048b3bfd8e32391c24b872465a048a40bd6242914478bd2505fb0ea20329d0f