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A spiking neural network model for handwriting movement generation is proposed, in which curvilinear velocity signals are modeled with Beta profiles. In the trajectory domain each Beta profile is replaced by an elliptic arc to fit the initial stroke. The spiking neural network architecture is constituted by an input layer which uploads the Beta-elliptic parameters as input, hidden layer and the output...
In view of the high dynamicity of traffic flow and the polynomial increase in the number of vehicles on road networks, the route choice problem becomes more complex. A classical shortest path algorithm based only on road length is no longer relevant. We propose in this paper an adaptive vehicle guidance system instigated from the ants behavior, well known for its good adaptativity; this system allows...
In this paper we propose a method to generate gaits of a biped robot by a particle swarm optimization algorithm. The system generates angular positions for joints with an interpolate end segments positions to evaluate walking stability. The proposed PSO is adapted to generate angular position joints, Human walking stability criteria are used to check and validate the gaits. The experimental procedure...
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