Document Type
Conference Proceeding
Publication Date
6-2012
Publication Title
American Control Conference
Abstract
Advances in autonomy have made it possible to invert the typical operator-to-unmanned vehicle ratio so that a single operator can now control multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling and task assignment for multiple UVs in uncertain environments will require the computational ability of optimization algorithms combined with the judgment and adaptability of human supervisors through mixed-initiative systems. The goal of this paper is to analyze the interactions between operators and scheduling algorithms in two human- in-the-loop multiple UV control experiments. The impact of real-time operator modifications to the objective function of an optimization algorithm for multi-UV scheduling is described. Results from outdoor multiple UV flight tests using a human-computer collaborative scheduling system are presented, which provide valuable insight into the impact of environmental uncertainty and vehicle failures on system effectiveness.
DOI
10.1109/ACC.2012.6314752
Recommended Citation
Clare, Andrew S.; Macbeth, Jamie; and Cummings, Mary L., "Mixed-Initiative Strategies for Real-time Scheduling of Multiple Unmanned Vehicles" (2012). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/378
Comments
Archived as published.
Proceeding from American Control Conference, Montreal, Canada