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Adaptive finite state machine based visual autonomous navigation system
(ElsevierAmsterdam, 2014-03)
In this paper we present an original approach applied to autonomous mobile robots navigation integrating localization and navigation using a topological map based on the proposed AFSM (adaptive finite state machine) ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
A self-developing neural network designed for discrete event system autonomous control
(2002)
This paper presents a prototype of a self-developing neural network architecture, named Neuromorphic Autonomous Controller (NAC). Designed to control a discrete event feedback system, this architecture is conformed by ...
A self-developing neural network designed for discrete event system autonomous control
(2002)
This paper presents a prototype of a self-developing neural network architecture, named Neuromorphic Autonomous Controller (NAC). Designed to control a discrete event feedback system, this architecture is conformed by ...
Classification of laser and visual sensors using associative Markov networks
(SBCCuritiba, 2012-01-20)
This work presents our initial investigation toward the semantic classification
of objects based on sensory data acquired from 3D laser range and
cameras mounted on a mobile robot. The Markov Random Field framework is ...
Neurogenic hypertension and the secrets of respiration
(Amer Physiological Soc, 2017-06-01)
Despite recent advances in the knowledge of the neural control of cardiovascular function, the cause of sympathetic overactivity in neurogenic hypertension remains unknown. Studies from our laboratory point out that rats ...