The automation of logistics tasks for fleets of UAVs is a key element of persistent operation. Such automation includes the provision of robotic service stations to replace consumables and orchestration algorithms enabling the UAVs to simultaneously pursue their objectives and manage the logistics process. Here we consider a system of UAVs and service stations distributed across a field of operations whose purpose is to provide continuous escort/surveillance to customers traversing known time-space trajectories. Our goal is to develop centralized real-time large scale-system orchestration methods for such a service. This goal is pursued in three directions.
Towards real time scheduling for persistent UAV service: A rolling horizon MILP approach, RHTA and the STAH heuristic
2014-05-01
1182116 byte
Conference paper
Electronic Resource
English
RECIFE-MILP: An Effective MILP-Based Heuristic for the Real-Time Railway Traffic Management Problem
Online Contents | 2015
|A rolling planning horizon heuristic for scheduling agents with different qualifications
Online Contents | 2014
|Experimental Demonstrations of Real-Time MILP Control
AIAA | 2003
|