Edge Computing

the goal of this article is to present evaluation results for a proposed modification of the Artificial Potential Field Method (APFM). The mathematical model employs Laplace functions to compute repulsive fields to simplify calculations. Additionally, the study introduces a comprehensive evaluation framework using Gazebo and ROS2, designed to test various obstacle avoidance algorithms in simulated environments. Experiments have been conducted in a virtual room containing static obstacles of diverse shapes.

The paper presents approaches for creating an automated internet-accessible semiconductor laboratory, specifically the control software system that ensures the internet accessibility of the laboratory. The functionality and structure of the software-hardware complex, developed with consideration of known solutions, are described, as well as its implementation options using the internet, cloud, and edge computing. Local implementation options with enhanced resilience to force majeure factors and cyber threats are also considered.

A justified hybrid multilevel approach to IoT infrastructure implementation is set to facilitate the achievement of a scalable IoT (Internet of Things) infrastructure, incorporating integration into cloud technologies and services. The localization of hardware-software traffic management means at the lower level of the IoT infrastructure, close to data collection devices, ensures the generation of control influences in real-time, and relieves communication channels at the higher levels of the IoT infrastructure architecture.