Adaptive path planning algorithm for cooperating unmanned air vehicles
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.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 15004018
- Report Number(s):
- UCRL-JC-140415-REV-1; TRN: US201015%%265
- Resource Relation:
- Journal Volume: 4; Conference: 2001 Institute of Electrical and Electronics Engineers International Conference on Robotics and Automation, Seoul, South Korea, May 21 - May 26, 2001
- Country of Publication:
- United States
- Language:
- English
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