TY - GEN
T1 - SkyRover
T2 - 34th Internationa Joint Conference on Artificial Intelligence, IJCAI 2025
AU - Ma, Wenhui
AU - Li, Wenhao
AU - Jin, Bo
AU - Lu, Changhong
AU - Wang, Xiangfeng
N1 - Publisher Copyright:
© 2025 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2025
Y1 - 2025
N2 - Unmanned Aerial Vehicles (UAVs) and Automated Guided Vehicles (AGVs) increasingly collaborate in logistics, surveillance, inspection tasks, etc. However, existing simulators often focus on a single domain, limiting cross-domain study. This paper presents the SkyRover, a modular simulator for UAV-AGV multi-agent pathfinding (MAPF). SkyRover supports realistic agent dynamics, configurable 3D environments, and convenient APIs for external solvers and learning methods. By unifying ground and aerial operations, it facilitates cross-domain algorithm design, testing, and benchmarking. Experiments highlight SkyRover's capacity for efficient pathfinding and high-fidelity simulations in UAV-AGV coordination. We believe the SkyRover fills a key gap in MAPF research. The project is available at https://sites.google.com/view/mapf3d/home.
AB - Unmanned Aerial Vehicles (UAVs) and Automated Guided Vehicles (AGVs) increasingly collaborate in logistics, surveillance, inspection tasks, etc. However, existing simulators often focus on a single domain, limiting cross-domain study. This paper presents the SkyRover, a modular simulator for UAV-AGV multi-agent pathfinding (MAPF). SkyRover supports realistic agent dynamics, configurable 3D environments, and convenient APIs for external solvers and learning methods. By unifying ground and aerial operations, it facilitates cross-domain algorithm design, testing, and benchmarking. Experiments highlight SkyRover's capacity for efficient pathfinding and high-fidelity simulations in UAV-AGV coordination. We believe the SkyRover fills a key gap in MAPF research. The project is available at https://sites.google.com/view/mapf3d/home.
UR - https://www.scopus.com/pages/publications/105021816259
U2 - 10.24963/ijcai.2025/1268
DO - 10.24963/ijcai.2025/1268
M3 - 会议稿件
AN - SCOPUS:105021816259
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 11086
EP - 11090
BT - Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025
A2 - Kwok, James
PB - International Joint Conferences on Artificial Intelligence
Y2 - 16 August 2025 through 22 August 2025
ER -