This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. This project addresses the challenge of deploying multiple UAVs to efficiently cover ...
Abstract: Recently, centralized receding horizon online multi-robot coverage path planning algorithms have shown remarkable scalability in thoroughly exploring large, complex, unknown workspaces with ...
Abstract: Coverage path planning is a critical problem in multi-unmanned aerial vehicle (UAV) systems for daily inspection and patrol missions, requiring coordinated movements of UAVs along ...
ABSTRACT: Optimizing area of interest (AoI) coverage in wireless sensor networks (WSNs) is essential for ensuring reliable monitoring and high quality of service. Although numerous approaches have ...
ABSTRACT: Optimizing area of interest (AoI) coverage in wireless sensor networks (WSNs) is essential for ensuring reliable monitoring and high quality of service. Although numerous approaches have ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
College hoops is heading (close) to the Holy Land next season. According to a report by CBS Sports college basketball writer Matt Norlander, the Villanova Wildcats and Notre Dame Fighting Irish are in ...
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