Péter Odry

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—The aim of this paper is to introduce a novel method for determining the structure and dimensions of a walking robot using an optimization method. With this solution the parameters of the robot's gait algorithm can also be fine-tuned. Prior to the construction of the authors' latest robot called Szabad(ka) II, a sophisticated modeling was carried out. With(More)
The paper presents the utilization of low-resolution data for control purposes. The control is based on fuzzy logic, with the deployment of stochastic digital low-resolution time arrays. Every control decision contains a degree of imprecision, being derived from measured low-resolution data. The imprecision is eliminated by stochastic noise superimposed(More)
The control of the rotation speed of serial universal motors is very complicated when done using traditional control techniques, as it requires a very complex mathematical model. Using neural network eliminates the need for mathematical modeling and allows easy realization of a solution. The universal serial motor is driven with a PWM signal and rpm control(More)