Multiple Heterogeneous Unmanned Aerial Vehicles
Multiple Heterogeneous Unmanned Aerial Vehicles
Predicting Controller Capacity in Supervisory Control of Multiple UAVs
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Teams organization and performance analysis in autonomous human-robot teams
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
Modeling teamwork of multi-human multi-agent teams
Proceedings of the 2013 conference on Computer supported cooperative work companion
Guidelines for the Integration of Autonomous UAS into the Global ATM
Journal of Intelligent and Robotic Systems
Hi-index | 0.00 |
In the near future, large, complex, time-critical missions, such as disaster relief, will likely require multiple unmanned vehicle (UV) operators, each controlling multiple vehicles, to combine their efforts as a team. However, is the effort of the team equal to the sum of the operator's individual efforts? To help answer this question, a discrete event simulation model of a team of human operators, each performing supervisory control of multiple unmanned vehicles, was developed. The model consists of exogenous and internal inputs, operator servers, and a task allocation mechanism that disseminates events to the operators according to the team structure and state of the system. To generate the data necessary for model building and validation, an experimental test-bed was developed where teams of three operators controlled multiple UVs by using a simulated ground control station software interface. The team structure and interarrival time of exogenous events were both varied in a 2×2 full factorial design to gather data on the impact on system performance that occurs as a result of changing both exogenous and internal inputs. From the data that was gathered, the model was able to replicate the empirical results within a 95% confidence interval for all four treatments, however more empirical data is needed to build confidence in the model's predictive ability.