{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T09:31:34Z","timestamp":1781947894922,"version":"3.54.5"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Unmanned Aerial Vehicles (UAVs) and Automated Guided Vehicles (AGVs) increasingly collaborate in logistics, surveillance, inspection tasks and etc. \n\nHowever, existing simulators often focus on a single domain, limiting cross-domain study. \n\nThis paper presents the SkyRover, a modular simulator for UAV-AGV multi-agent pathfinding (MAPF). \n\nSkyRover supports realistic agent dynamics, configurable 3D environments, and convenient APIs for external solvers and learning methods. \n\nBy unifying ground and aerial operations, it facilitates cross-domain algorithm design, testing, and benchmarking. \n\nExperiments highlight SkyRover\u2019s capacity for efficient pathfinding and high-fidelity simulations in UAV-AGV coordination.\n\nWe believe the SkyRover fills a key gap in MAPF research. \n\nProject is available at https:\/\/sites.google.com\/view\/mapf3d\/home.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/1268","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"11086-11090","source":"Crossref","is-referenced-by-count":2,"title":["SkyRover: A Modular Simulator for Cross-Domain Pathfinding"],"prefix":"10.24963","author":[{"given":"Wenhui","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, East China Normal University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Tongji University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Tongji University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changhong","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, East China Normal University"},{"name":"Key Laboratory of Mathematics and Engineering Applications"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangfeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, East China Normal University"},{"name":"Key Laboratory of Mathematics and Engineering Applications"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","theme":"Artificial Intelligence","location":"Montreal, Canada","acronym":"IJCAI-2025","number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2025,8,16]]},"end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:36:37Z","timestamp":1758627397000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/1268"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/1268","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}