In recent years, a large number of manipulator robots have been deployed to replace or
assist humans in many repetitive and dangerous tasks. Yet, these robots have complex …

The application of artificial intelligence (AI) in the field of welding is an increasingly important
area of research and a large number of journal publications on the topic have been …

A fractional-order adaptive fuzzy controller, capable of guaranteeing prescribed
performance, is designed for a class of uncertain fractional-order nonlinear systems with …

In this article, we propose a new scheme for a fuzzy logic controller, which includes
acceleration as one of its linguistic variables, as opposed to other techniques and …

In this study, the hybrid force/position control of robotic manipulators operating in uncertain
environments is addressed by integrating the fuzzy logic with conventional sliding mode …

Due to wide distribution and low energy efficiency, the energy-saving in industrial robots
(IRs) is attracting extensive attention. Accurate energy consumption (EC) models of IRs lay …

This paper develops an adaptive robust combination of feedback linearization (FL) and
sliding mode controller (SMC) based on fuzzy rules and gradient descent laws. The new …

In this paper, a simple and flexible vision sensor system was developed for acquiring the
keyhole images from the back-side of the work plate. The keyhole variation mechanism …

Surface polishing is required in many manufacturing sectors. Currently, it demands a large
amount of manual work, which is time-consuming, error-prone, and costly. Additionally, it …

When a workpiece is ground by a robot, the issue often arises that the grinding force signal
can easily suffer overshoot during the impact stage and instability during the processing …