Despite the great possibilities of modern neural network architectures concerning the
problems of object detection and recognition, the output of such models is the local (pixel) …

Obtaining a dynamic model of the robotic manipulator is a complex task. With the growing
application of machine learning (ML) approaches in modern robotics, a question arises of …

An algorithm for parallel calculations in a dynamic model of manipulation robots obtained by
the Lagrange–Euler method is developed. Independent components were identified in the …

The authors carried out modeling of the electrophysical properties of composite media. The
frequency dependences of the dielectric constant on the type of inclusions in the composite …

This paper investigates spiking neural networks (SNN) for novel robotic controllers with the
aim of improving accuracy in trajectory tracking. By emulating the operation of the human …

To enable the timely adjustment of the control strategy of automobile active safety systems,
enhance their capacity to adapt to complex working conditions, and improve driving safety …

Because of its uneven and large slope, unstructured pavement presents a great challenge to
obtaining the adhesion coefficient of pavement. An estimation method of the peak adhesion …

Two innovative acceleration-layer configuration amendment (CA) schemes are proposed to
achieve the CA of constrained redundant robot arms. Specifically, by applying the Zhang …

The article considers the appliance possibility of mathematical apparatus of artificial neural
networks for controlling processes of intellectual synthesis of large discrete systems models …

In this paper, we derive the dynamics of a six degree of freedom platform using Lagrangian
method. Lagrangian is a powerful tool for deriving the equations of motion of the mechanical …