UGV-UAV Cooperative Path Planning for Uncertain Road Networks
The Dynamic UGV-UAV Cooperative Path Planning (DUCPP) problem has been presented by researchers, focusing on a scenario where one unmanned ground vehicle (UGV) is supported by multiple unmanned aerial vehicles (UAVs) as they navigate through an unpredictable road network that may contain impassable sections. This study, available on arXiv (2604.25267v1), is relevant for situations such as disaster relief, emergency supply delivery, and rescue missions where road conditions are not fully known. UAVs actively assess routes to detect and eliminate damaged or inaccessible paths, allowing the UGV to proceed safely and effectively. Various methods, including a bidirectional strategy, are proposed to enhance collaboration, and the role of multiple UAVs in decreasing travel time is examined.
Key facts
- DUCPP problem involves one UGV and one or more UAVs.
- Road network is uncertain with potentially impassable edges.
- Relevant for disaster response, emergency supply transport, rescue operations.
- UAVs dynamically inspect edges to identify damaged or impassable routes.
- Multiple strategies including bidirectional approach are proposed.
- Impact of multiple UAVs on reducing UGV travel time is evaluated.
- Published on arXiv with ID 2604.25267v1.
- Announce type is cross.
Entities
Institutions
- arXiv