Multiscale Dynamic Data Driven Guidance and Control for Autonomous Vehicle Networks
Abstract
The proposed work is aimed to enable a team of decision-making agents to dynamically interact with sensor networks and execute a variety of complex, intelligent, and collaborative tasks of interest to the US Air Force with a high degree of autonomy and with inherent safety guarantees.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2017
- Source ID
- FA95501710028
Entities
People
- Raghvendra V Cowlagi
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- Worcester Polytechnic Institute