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In this paper, we briefly review some of the most common approaches in path planning and we present a unified approach in path generation for a mobile robot. We use a memory neuron network to control a mobile robot along a trajectory while avoiding obstacles. We briefly show the robot's features in order to introduce the neural network used to control it. Some simulation results are discussed.

Supplementary data demonstrating effects of short-term ethanol and acetaldehyde exposures at various concentrations on OKF4 and OKF6 cell proliferation and candidate miRNA expression. Figure S1. (A) OKF4 and OKF6 cell proliferation is unaffected by ethanol exposure up to concentrations of 1Â % over a 48-h period. (B) OKF4 and OKF6 cell proliferation is unaffected by physiological levels of acetaldehyde exposure over a 24-h period. (C) One-week exposure of OKF4 to ethanol is sufficient to promote upregulation of miR-934 and miR-3178. (PDF 436 kb)

In this paper, the control problem of Multi-Input Multi-Output (MIMO) nonlinear Systems with unknown dynamics is proposed. A novel method based on the Sliding Mode with Time Delay Control (SMTDC) is proposed by combining a Sliding Mode Control (SMC) with saturation (sat) function and Time Delay Control (TDC). This method (SMTDC), allows chattering reduction on control inputs and estimates the amounts of unknown or unmodeled nonlinear dynamics and unexpected uncertainties and cancels them. This algorithm was simulated on the model of the ANAT robot arm system to demonstrate the effectiveness of the proposed design method.