We investigate the problem of how to make a multi-robot system performing a cooperative task by inducing a set of emergent actions. We model the environment dynamics by considering some parameters that express the ability of each robot to perform its task. Thus, the members of a group of robots become aware of their ability to realize some tasks by simply computing some quality function Q of the con guration pattern of the environment. A role assignment schema allows roles to be swapped among the robots of the group in order to select the best behaviors able to perform the task cooperatively. We illustrate this approach by showing how two soccer robots were able to exchange a ball, during a real game, by combining the use of ef cient collis...
We present an approach that uses Q-learning on individual robotic agents, for coordinating a mission...
This research addresses the problem of achieving fault tolerant cooperation within small- to medium-...
Robot Soccer is a rich domain for the study in artificial intelligence. Teams of players must work t...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
We discuss how to induce a set of collective emergent behaviors into a team of real robots used for ...
Individual's behavior inside a multirobot is inherently unpredictable because the global behavior of...
This paper proposes a new methodology for coordinating multi-robot teams in the execution of coopera...
In this paper, we suggest an hybrid architecture where the deliberative part takes advantages from t...
We discuss how to induce a set of collaborative emergent actions between two soccer robots. Cooperat...
In this paper, we suggest an hybrid architecture where the deliberative part takes advantages from t...
This report introduces a general formulation of relational behaviours for cooperative real robots an...
In this paper, we present a mechanism for coordinating multiple robots in the execution of cooperati...
We illustrate the Cooperation through Implicit Communication behavior-based approach used for develo...
This research addresses the problem of achieving fault tolerant cooperation within small- to medium-...
We present an approach that uses Q-learning on individual robotic agents, for coordinating a mission...
This research addresses the problem of achieving fault tolerant cooperation within small- to medium-...
Robot Soccer is a rich domain for the study in artificial intelligence. Teams of players must work t...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
We discuss how to induce a set of collective emergent behaviors into a team of real robots used for ...
Individual's behavior inside a multirobot is inherently unpredictable because the global behavior of...
This paper proposes a new methodology for coordinating multi-robot teams in the execution of coopera...
In this paper, we suggest an hybrid architecture where the deliberative part takes advantages from t...
We discuss how to induce a set of collaborative emergent actions between two soccer robots. Cooperat...
In this paper, we suggest an hybrid architecture where the deliberative part takes advantages from t...
This report introduces a general formulation of relational behaviours for cooperative real robots an...
In this paper, we present a mechanism for coordinating multiple robots in the execution of cooperati...
We illustrate the Cooperation through Implicit Communication behavior-based approach used for develo...
This research addresses the problem of achieving fault tolerant cooperation within small- to medium-...
We present an approach that uses Q-learning on individual robotic agents, for coordinating a mission...
This research addresses the problem of achieving fault tolerant cooperation within small- to medium-...
Robot Soccer is a rich domain for the study in artificial intelligence. Teams of players must work t...