We have discussed technical issues regarding supervised world perception modeling and task planning of cooperative mobile robots performing tactical tasks in unstructured environment. We have introduced a hierarchy Supervisory Controller for robust cooperative task deployment of heterogeneous semiautonomous robotic vehicles. Primarily, we have described functional and modular architecture of the Supervisory Controller and presented our strategies for separation of supervisory functions according to their level abstraction, complexity, precedence, and intelligence. Furthermore, we have discussed control schemes for measure of performance and measure of efficiency of our cooperative robots tested under different task situations. Results indic...
Over the last few years, cooperative autonomous systems have become a more popular solution for acco...
For many dangerous, dirty or dull tasks like in search and rescue missions, deployment of autonomous...
In this paper a new intelligent control architecture for autonomous multi-robot systems is presented...
In this paper a dynamic task allocation and controller design methodology for cooperative robot team...
This work is a presentation of Supervisory Control Theory of Discrete Event Systems for the design o...
This research addresses the problem of achieving fault tolerant cooperation within small- to medium-...
This thesis focuses on the development of an artificial intelligence system for a heterogeneous ense...
In the last decade, robotic systems have penetrated human life more than human can imagine. In parti...
An important class of robotic applications potentially involves multiple, cooperating robots: securi...
In this paper, the decentralized control in task space of cooperative mobile arms with uncertain dy...
A detailed analysis and comparison of various control architectures is presented in order to meet th...
Abstract: The ways of modeling of supervisor’s action measurements in control of multi-agents mobile...
International audienceThis paper presents a hybrid control architecture based on subsumption and sch...
In multi-robot control, robots need the ability to perform well in the absence of valid human input....
We address the challenge of controlling a team of robots through a complex environment, a capability...
Over the last few years, cooperative autonomous systems have become a more popular solution for acco...
For many dangerous, dirty or dull tasks like in search and rescue missions, deployment of autonomous...
In this paper a new intelligent control architecture for autonomous multi-robot systems is presented...
In this paper a dynamic task allocation and controller design methodology for cooperative robot team...
This work is a presentation of Supervisory Control Theory of Discrete Event Systems for the design o...
This research addresses the problem of achieving fault tolerant cooperation within small- to medium-...
This thesis focuses on the development of an artificial intelligence system for a heterogeneous ense...
In the last decade, robotic systems have penetrated human life more than human can imagine. In parti...
An important class of robotic applications potentially involves multiple, cooperating robots: securi...
In this paper, the decentralized control in task space of cooperative mobile arms with uncertain dy...
A detailed analysis and comparison of various control architectures is presented in order to meet th...
Abstract: The ways of modeling of supervisor’s action measurements in control of multi-agents mobile...
International audienceThis paper presents a hybrid control architecture based on subsumption and sch...
In multi-robot control, robots need the ability to perform well in the absence of valid human input....
We address the challenge of controlling a team of robots through a complex environment, a capability...
Over the last few years, cooperative autonomous systems have become a more popular solution for acco...
For many dangerous, dirty or dull tasks like in search and rescue missions, deployment of autonomous...
In this paper a new intelligent control architecture for autonomous multi-robot systems is presented...