The concept of scalable autonomy with a guided access to lower automation levelsallows human UAV pilots to select the level of autonomy and enables the onboard automation to understand the pilot’s intent and offer support. To evaluate this concept, we conducted flightand simulationexperiments with German military personnel performing reconnaissance missions with a small UAV. We compared threeconfigurations. The high autonomy configuration completely prevents access to low-level functions. The naive approach configuration allows unrestricted access to all lower-level functions. The guided access configuration restricts access by forcing the pilot to communicate his intent first by entering mission tasks. As dependent variables, we measured m...
Uninhabited aerial vehicles (UAVs) are increasingly being used for both military and civilian applic...
The benefits of using multiple heterogeneous Unmanned Aerial Vehicles (UAVs) to perform tasks such a...
NPS NRP Project PosterOptimal effectiveness in human-autonomy teams can only be achieved by understa...
The autonomous capabilities in collaborative unmanned aircraft systems are growing rapidly. Without ...
International audienceThe autonomy capabilities in collaborative robotic systems are growing rapidly...
In this study we investigate on a cognitive delegation agent for UAV task-based mission management. ...
Abstract: Supervisory control of multiple unmanned aerial vehicles (UAVs) raises many questions conc...
In this paper, we examine the influence of autonomy and cognitive ability on workload in unmanned sy...
Interest in the area of collaborative Unmanned Aerial Vehicles (UAVs) in a Multi-Agent System is gro...
To fully utilize the abilities of current autonomous vehicles, it is necessary to understand the int...
Supervisory control of multiple unmanned aerial vehicles (UAVs) raises many issues concerning the ba...
Abstract—This article discusses different dimensions of automation in the integration of multiple, d...
AbstractHumans continue to use tools to manually transform raw resources into valued outputs. The ty...
Supervisory control of multiple unmanned aerial vehicles (UAVs) raises many questions concerning the...
Adaptive automation may help balance system autonomy with human interaction in supervisory control e...
Uninhabited aerial vehicles (UAVs) are increasingly being used for both military and civilian applic...
The benefits of using multiple heterogeneous Unmanned Aerial Vehicles (UAVs) to perform tasks such a...
NPS NRP Project PosterOptimal effectiveness in human-autonomy teams can only be achieved by understa...
The autonomous capabilities in collaborative unmanned aircraft systems are growing rapidly. Without ...
International audienceThe autonomy capabilities in collaborative robotic systems are growing rapidly...
In this study we investigate on a cognitive delegation agent for UAV task-based mission management. ...
Abstract: Supervisory control of multiple unmanned aerial vehicles (UAVs) raises many questions conc...
In this paper, we examine the influence of autonomy and cognitive ability on workload in unmanned sy...
Interest in the area of collaborative Unmanned Aerial Vehicles (UAVs) in a Multi-Agent System is gro...
To fully utilize the abilities of current autonomous vehicles, it is necessary to understand the int...
Supervisory control of multiple unmanned aerial vehicles (UAVs) raises many issues concerning the ba...
Abstract—This article discusses different dimensions of automation in the integration of multiple, d...
AbstractHumans continue to use tools to manually transform raw resources into valued outputs. The ty...
Supervisory control of multiple unmanned aerial vehicles (UAVs) raises many questions concerning the...
Adaptive automation may help balance system autonomy with human interaction in supervisory control e...
Uninhabited aerial vehicles (UAVs) are increasingly being used for both military and civilian applic...
The benefits of using multiple heterogeneous Unmanned Aerial Vehicles (UAVs) to perform tasks such a...
NPS NRP Project PosterOptimal effectiveness in human-autonomy teams can only be achieved by understa...