This paper presents the design of a stable non-linear control system for the remote visual tracking of cellular robots. The robot is controlled through visual feedback based on th...
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
: There have been no major control problems during the first three years of the new Tokaido-Sanyo Shinkansen (bullet train) Programmed Route Control (PRC) computer system. Prior to...
In this paper a knowledge based assembly control system for automobile manufacturing is presented which has been implemented for the B M W manufacturing facilities in Munich. The ...
Rather than create a control system from scratch each time we build a new robot creature, we would like to generate control systems automatically. I have implemented an algorithm ...
: Physical and informational works are strongly interrelated in a business process. This facilitates modeling a business process as an integral part of a closed loop information an...
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...
Recent experimental studies have focused on the specialization of different neural structures for different types of instrumental behavior. Recent theoretical work has provided no...
Much of the world's critical infrastructure is at risk from attack through electronic networks connected to control systems. Security metrics are important because they provid...