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Automotive engine/chassis control and development systems: quick state-of-the-a...

Kulzer, Pedro; Cunha, Bernardo

This paper starts by identifying the automotive engine/chassis system, which is the target of the state-of-the-art development and control tools presented right after. The underlying need for easy-handling mechanisms to harness the overwhelming and ever-growing range ofprogramming and operational details of the corresponding electronic control units (ECUs), is addressed. This complexity is mainly caused by the ...


NAVBOT: autonomous robotic agent with neural learning of autonomous mapping and...

Kulzer, Pedro

Neste trabalho, foi realizada uma implementação dum agente robótico autónomo minimalista com capacidades de navegação avançadas, as quais dependem em arquitecturas especializadas com base em redes neuronais artificiais. Pretendesemostrar que uma plataforma robótica comparativamente simples e dotada de componentes baratos é capaz de realizar tarefas complexas de navegação, tais como dead-reckorging (intuição esp...


Local array mapping in an autonomous robot

Gonçalves, José; Ribeiro, Jorge; Kulzer, Pedro; Doty, Keith L.; Vaz, Francisco

This project implements an autonomous mobile robot platform that performs a series of simple reactive behaviors and adapts to local environmental conditions. Since oscillatory motion under cornered conditions appears to be an inherent characteristic of purely reactive obstacle avoidance mechanisms in autonomous robots, a robot agent will require memory to enhance overall obstacle avoidance efficiency. In this s...


Object oriented programming applied to the simulation of neural networks

Kulzer, Pedro; Branco, António; Tomé, Ana; Pinho, Armando

In this paper, we describe an object oriented representation that is useful for the programmable implementation of artificial neural networks. This representation is basically composed of severa1 base objects which achieve, every one of them, a different leve1 of representation. The main idea is based on a bottom-uprepresentation, where we implement objects that get moreand more global, containing other objects...


Simulation of a 100% analog neuron with current processing circuit

Kulzer, Pedro; Branco, António; Santos, Dinis

A 100% analog neuron, implementable in CMOS1.2pm technology, was designed and simulated. The neuronconsists of simple current processing circuits, right from thesynapses' inputs to the axon's output. Only the weight inputis in voltage form, to achieve the fastest possible response. The neuron has an adaptive firing threshold, as well as anautonomous, local, non-supervised learning circuit.; Projectou-se e simul...


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