Simulation environmental setting with a grid map, and human number .
<p>Simulation environmental setting with a grid map, and human number .</p>
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2025
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| _version_ | 1852019360669892608 |
|---|---|
| author | Jian Mi (21533502) |
| author2 | Xianbo Zhang (4113475) Zhongjie Long (13927368) Jun Wang (5906) Wei Xu (28953) Yue Xu (246925) Shejun Deng (9674246) |
| author2_role | author author author author author author |
| author_facet | Jian Mi (21533502) Xianbo Zhang (4113475) Zhongjie Long (13927368) Jun Wang (5906) Wei Xu (28953) Yue Xu (246925) Shejun Deng (9674246) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jian Mi (21533502) Xianbo Zhang (4113475) Zhongjie Long (13927368) Jun Wang (5906) Wei Xu (28953) Yue Xu (246925) Shejun Deng (9674246) |
| dc.date.none.fl_str_mv | 2025-06-12T17:37:27Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0324534.g007 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Simulation_environmental_setting_with_a_grid_map_and_human_number_/29308626 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Sociology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified task success rate simulation results demonstrate reinforcement learning method randomly moving humans generating optimal paths distinct task number time collision avoidance novel safe approach safe path rather safe path planning path planning problem planning level instead mobile robot designing including conflict number evaluate fsars based dynamic environments remains safe path mobile robot dynamic environments shortest path safe planner safe operation computational time challenging problem conflict distribution average conflict human number structure aims several metrics paper focuses multiple tasks merely seeking lowest collisions level implements grid size fsars reduces environmental settings avoiding collisions |
| dc.title.none.fl_str_mv | Simulation environmental setting with a grid map, and human number . |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Simulation environmental setting with a grid map, and human number .</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_2424ef36bec1210a7d87dfdfd2df7dc5 |
| identifier_str_mv | 10.1371/journal.pone.0324534.g007 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29308626 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Simulation environmental setting with a grid map, and human number .Jian Mi (21533502)Xianbo Zhang (4113475)Zhongjie Long (13927368)Jun Wang (5906)Wei Xu (28953)Yue Xu (246925)Shejun Deng (9674246)SociologyScience PolicySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedtask success ratesimulation results demonstratereinforcement learning methodrandomly moving humansgenerating optimal pathsdistinct task numbertime collision avoidancenovel safe approachsafe path rathersafe path planningpath planning problemplanning level insteadmobile robot designingincluding conflict numberevaluate fsars baseddynamic environments remainssafe pathmobile robotdynamic environmentsshortest pathsafe plannersafe operationcomputational timechallenging problemconflict distributionaverage conflicthuman numberstructure aimsseveral metricspaper focusesmultiple tasksmerely seekinglowest collisionslevel implementsgrid sizefsars reducesenvironmental settingsavoiding collisions<p>Simulation environmental setting with a grid map, and human number .</p>2025-06-12T17:37:27ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0324534.g007https://figshare.com/articles/figure/Simulation_environmental_setting_with_a_grid_map_and_human_number_/29308626CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/293086262025-06-12T17:37:27Z |
| spellingShingle | Simulation environmental setting with a grid map, and human number . Jian Mi (21533502) Sociology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified task success rate simulation results demonstrate reinforcement learning method randomly moving humans generating optimal paths distinct task number time collision avoidance novel safe approach safe path rather safe path planning path planning problem planning level instead mobile robot designing including conflict number evaluate fsars based dynamic environments remains safe path mobile robot dynamic environments shortest path safe planner safe operation computational time challenging problem conflict distribution average conflict human number structure aims several metrics paper focuses multiple tasks merely seeking lowest collisions level implements grid size fsars reduces environmental settings avoiding collisions |
| status_str | publishedVersion |
| title | Simulation environmental setting with a grid map, and human number . |
| title_full | Simulation environmental setting with a grid map, and human number . |
| title_fullStr | Simulation environmental setting with a grid map, and human number . |
| title_full_unstemmed | Simulation environmental setting with a grid map, and human number . |
| title_short | Simulation environmental setting with a grid map, and human number . |
| title_sort | Simulation environmental setting with a grid map, and human number . |
| topic | Sociology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified task success rate simulation results demonstrate reinforcement learning method randomly moving humans generating optimal paths distinct task number time collision avoidance novel safe approach safe path rather safe path planning path planning problem planning level instead mobile robot designing including conflict number evaluate fsars based dynamic environments remains safe path mobile robot dynamic environments shortest path safe planner safe operation computational time challenging problem conflict distribution average conflict human number structure aims several metrics paper focuses multiple tasks merely seeking lowest collisions level implements grid size fsars reduces environmental settings avoiding collisions |