FERREIRA, J. R. S.; http://lattes.cnpq.br/5208576080309838; FERREIRA, José Ricardo da Silva.
Resumen:
This dissertation presents a Real-time Intelligent Tasks Scheduler developed to robotics application
that implement microcomputer control. The proposed scheduler was idealized after
observations realized in robots' control system utilized in Intelligent Automation and Neural
Networks Laboratory (NEUROLAB) linked to Coordination of Computer Science Graduation
(COPIN) of Federal University of Paraiba (UFPB). In these systems, each control stage was
executed through real-time tasks. Several tasks were ordered by an expert and executed sequentially
to a robot executed all necessary motions to realize an established goal. Was observed
a constant interference of expert in ordination and time definition of each task until
was to reach an optimal sequence of tasks to robot's control. With the Intelligent Tasks
Scheduler, that uses rules and inference fuzzy, the ordination and time definition of each task
now is realized by own system, permitting more autonomy to the system and consequentially
becomes more intelligent.