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The intelligent control architecture (ICA) [16] is a generic capability-oriented architecture for autonomous marine robots.
An intelligent control architecture for two autonomously driven wheeled robot is developed in this paper.
This paper proposes an Intelligent Control Architecture (ICA) to enable multiple collaborating marine vehicles to autonomously carry out underwater intervention missions.
In this work, an intelligent control architecture for controlling multi-robots, denominated ACIn, that integrates planning and RBS, has been proposed.
The main focus of this paper is in the development of marine integrated design platform which seeks to shift ship design to a distribution, intelligent control architecture through increased automation.
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A methodology for automatically transforming conventional task-variable graphs representing the execution level of intelligent control architectures in Petri nets is presented.
The problem of designing an interface between the continuous-state and the discrete-state domains of intelligent control architectures is addressed in this paper, focusing on the case of a hierarchical navigation, guidance and control architecture for unmanned underwater vehicles.
The project brings together research skills specific to the marine environments in navigation and mapping for underwater robotics, multi-sensory perception, intelligent control architectures, vehicle-manipulator systems and dexterous manipulation.
A behavior based, autonomous intelligent control system architecture developed for autonomous underwater vehicles is used to demonstrate the integration.
The Cooperative Intelligent Real-time Control Architecture (CIRCA) implements this blending by executing complex AI methods and guaranteed real-time control plans on separate subsystems.
In this paper, an intelligent distributed secure control architecture is presented for distribution systems to provide greater adaptive protection, with the ability to proactively reconfigure, and rapidly respond to disturbances.
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