Proposal Description: Trust-based Optimal Guidance and Navigation for Multiple Manned-Unmanned Vehicles
Abstract
This project aims at establishing trust-based optimal control, dynamic pairing and real-time scheduling algorithms for multiple manned and unmanned vehicles teaming as a foundation for next generation survivable systems. There are 4 tasks for this project: 1) PI will investigate on how to navigate a team of vehicles passing through desired routes and reduce human workload by choosing optimal autonomy level and designing optimal control law simultaneously. 2) PI will explore and establish quantitative measures for human workload and performance. 3) PI will investigate simultaneously trust-based optimal switching rules and switching control laws to achieve balanced human workload and vehicle navigation accuracy. 4) PI will create dynamic pairing and real-time scheduling for multiple manned-unmanned vehicles teaming.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1610331
Entities
People
- Yue Wang
Organizations
- Army Contracting Command
- Clemson University
- National Security Agency