Intelligent mobile robots that can move independently were laid out in the real world around
100 years ago during the second world war after advancements in computer science. Since …

The application of robotic systems is widespread in all fields of life and sport. Tennis ball
collection robots have recently become popular because of their potential for saving time …

Industrial robots suffer from difficulties in predicting and guaranteeing tracking performance
due to the complex dynamic behavior and inaccurate mechatronics model. This study …

Vehicles route problems (VRP) are to arrange the optimal routes under the various
requirements, and it is becoming significant in the logistics industry as electric commerce is …

In recent decades, obstacle avoidance has been one of the main challenges in autonomous
vehicle navigation, which has been used in a wide range of different autonomous devices …

As the nodes in wireless sensor networks (WSNs) are powered by batteries, energy
efficiency is a major concern. Since communication consumes the most energy, efficient …

. Neural networks have been applied very successfully in the identification and control of
dynamic systems. The universal approximation capabilities of the multilayer perceptron have …

The experimentation and analysis of a machine learning (ML) algorithm for automatic
problem detection and real-time heat exchanger optimization (RTHEO) is presented in detail …

Since controlling of parallel-plate micro-actuators and improving their speed and precision is
an essential factor for tracking of high frequencies reference inputs, the optimal closed-loop …

Accurate environmental sensing is an important prerequisite for autonomous driving in off-
road environments. Most targets in off-road environments do not have regular shapes …