Title :
An adaptive path planning algorithm for cooperating unmanned air vehicles
Author :
Cunningham, Christopher T. ; Roberts, Randy S.
Author_Institution :
Lawrence Livermore Nat. Lab., CA, USA
Abstract :
An adaptive path planning algorithm is presented for cooperating unmanned air vehicles (UAVs) that are used to deploy and operate land-based sensor networks. The algorithm employs a global cost function to generate paths for the UAVs, and adapts the paths to exceptions that might occur. Examples are provided of the paths and adaptation.
Keywords :
aircraft control; computational complexity; computational geometry; mobile robots; multi-robot systems; path planning; remotely operated vehicles; adaptive path planning algorithm; cooperating unmanned air vehicles; global cost function; land-based sensor networks; Condition monitoring; Cost function; Fires; Interference; Laboratories; Path planning; Postal services; Predictive models; Sensor phenomena and characterization; Unmanned aerial vehicles;
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
Print_ISBN :
0-7803-6576-3
DOI :
10.1109/ROBOT.2001.933238
