In this paper, we present a model and an algorithm for the calculation of the optimal control limit, average cost, sample size, and the sampling interval for an optimal Bayesian chart to control the proportion of defective items produced using a semi-Markov decision process approach. Traditional p-chart has been widely used for controlling the proportion of defectives in various kinds of produc...

8 1094-7167/03/$17.00 © 2003 IEEE IEEE INTELLIGENT SYSTEMS believe is the first on-road demonstration of autonomous passenger vehicles performing cooperative passing and traversal of unsignalized intersections. (Unsignalized intersections have no traffic lights, stop signs, or yield signs to control traffic flow.) This demonstration mated ICSL’s communication and collaborative decision-making s...

Projects involving the investigation and construction of Intelligent Environments have had reasonable success in demonstrating their potential applicability in the real world. However, most of these efforts pay little or no attention to their security and privacy implications. These are key issues that need to be addressed in order for Intelligent Environments to be deployed broadly. In this pa...

| The more complex the problem, the more complex the system necessary for solving this problem. For very complex problems, it is no longer possible to design the corresponding system on a single resolution level, it becomes necessary to have multi-level, multiresolutional systems , with multi-level granulation. When analyzing such systems { e.g., when estimating their performance and/or their i...

In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment non-locally. Examples would include a mobile robot exploring an unknown terrain or a micro-UAV navigating in a cluttered urban environment. We show that the problem of path planning in an uncertain environment, under c...

This paper presents an overview of various intelligent control technologies currently being developed and studied under the Intelligent Flight Control (IFC) program at the NASA Ames Research Center. The main objective of the intelligent flight control program is to develop the next generation of flight controllers for the purpose of automatically compensating for a broad spectrum of damaged or ...

In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment non-locally. Examples would include a mobile robot exploring an unknown terrain or a micro-UAV navigating in a cluttered urban environment. We show that the problem of path planning in an uncertain environment, under c...

Electromechanical servos integrate servomotors, power converters, sensors, integrated circuits, and controllers. In conventional applications, analog and digital proportional-integral-derivative controllers are widely used, and electric servomotors can be straightforwardly controlled by making use of the electromagnetic and energy conversion phenomena. High-performance servos must be designed t...

This paper presents a distributed coordination methodology for multi-robot systems, based on nearest-neighbor interactions. Among many interesting tasks that may be performed using swarm robots, we propose a biologically-inspired control law for a shepherding task, whereby a group of external agents drives another group of agents to a desired location. First, we generated sheep-like robots that...