Artificial intelligence and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …

Major difficulties and challenges of modern robotics systems focus on how to give robots self-
learning and self-decision-making ability. Visual servoing control strategy is an important …

Wheeled mobile robots have a great variety of applications both indoors and outdoors. They
are often required to work in various environments such as on rough terrains, wet roads, icy …

To improve the manoeuvrability of differential drive mobile robots around a straight path on a
horizontal plane, an I/O decoupling control scheme is proposed through a proportional …

This paper presents a low-cost system for simultaneous localization and mapping (SLAM)
for unknown indoor environments. The system is based on a low-cost mobile-robot platform …

The vision-guided robot is intensively embedded in modern industry, but it is still a challenge
to track moving objects in real time accurately. In this paper, a hybrid adaptive control …

The superheated steam temperature system of the thermal power plant has the
characteristics of large inertia, nonlinearity, and strong time variation, which make it difficult …

This work proposes a novel approach for improving the control performance of Unmanned
Aerial Vehicles (UAVs) through cooperative reinforcement learning. By sharing their …

Rehabilitation robots are becoming an important means of assisted living for the elderly, and
the appearance of rehabilitation robots directly affects the willingness of the elderly to …

Taking advantage of an adaptive Taylor series approximator, this research seeks to address
a two‐loop robust controller for electrically‐driven differential drive wheeled mobile robots. A …