For tasks that need to be accomplished in unconstrained environments, as in the case of Urban Search and Rescue (USAR), human-robot collaboration is considered as an indispensable component. Collaboration is based on accurate models of robot and human perception consistent with one another, so that exchange of information critical to the accomplishment of a task is performed efficiently and in a simplified fashion to minimize the interaction overhead. In this paper, we high-light the features of a human-robot team, i.e. how robot perception may be combined with human perception based on a task-driven direction for USAR. We elaborate on the design of the components of a mixed-initiative system wherein a task assigned to the robot is planned ...
The authors are developing a theory for human control of robot teams based on considering how contro...
Robots and autonomous systems are expanding into more complex, dynamic, and human-centered operating...
We are developing a theory for human control of robot teams based on considering how control difficu...
The paper describes ongoing integrated research on designing intelligent robots that can assist huma...
International audienceThe paper describes ongoing integrated research on designing intelligent robot...
International audienceThe paper describes ongoing integrated research on designing intelligent robot...
International audienceThe paper describes ongoing integrated research on designing intelligent robot...
The paper describes ongoing integrated research on designing intelligent robots that can assist huma...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
The TRADR project aims at developing methods and models for human-robot teamwork, enabling robots to...
One of the most important applications of planning technol-ogy has been – and continues to be – guid...
AbstrAct: The authors are developing a theory for human control of robot teams based on considering ...
Current ground robots are largely employed via tele-operation and provide their operators with usefu...
Current ground robots are largely employed via tele-operation and provide their operators with usefu...
The authors are developing a theory for human control of robot teams based on considering how contro...
Robots and autonomous systems are expanding into more complex, dynamic, and human-centered operating...
We are developing a theory for human control of robot teams based on considering how control difficu...
The paper describes ongoing integrated research on designing intelligent robots that can assist huma...
International audienceThe paper describes ongoing integrated research on designing intelligent robot...
International audienceThe paper describes ongoing integrated research on designing intelligent robot...
International audienceThe paper describes ongoing integrated research on designing intelligent robot...
The paper describes ongoing integrated research on designing intelligent robots that can assist huma...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in th...
The TRADR project aims at developing methods and models for human-robot teamwork, enabling robots to...
One of the most important applications of planning technol-ogy has been – and continues to be – guid...
AbstrAct: The authors are developing a theory for human control of robot teams based on considering ...
Current ground robots are largely employed via tele-operation and provide their operators with usefu...
Current ground robots are largely employed via tele-operation and provide their operators with usefu...
The authors are developing a theory for human control of robot teams based on considering how contro...
Robots and autonomous systems are expanding into more complex, dynamic, and human-centered operating...
We are developing a theory for human control of robot teams based on considering how control difficu...