The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
We present a formal framework of an autonomous agent as a collection of coordinated control loops, with a recurring sense, plan, act cycle. Our framework manages the information f...
RUPART1 is a hybrid robot control system for navigating a real-world, academic building. Hybrid robot control systems provide robust low-level navigation together with strategic p...
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
We have developed a multiagent robotic system including perception, cognition, and action components to function in a dynamicenvironment. The system involves the integration and c...