Robots play an important role all over the world in the industrial field in terms of handling
various materials and performing duties quickly with high accuracy. Product handlings in the …

This paper aims to deal with the non-asymptotic and robust estimation problem for nonlinear
fractional-order systems. The motivation starts with a physical system which develops into a …

This paper aims at designing a nonasymptotic and robust pseudo-state estimator for a class
of fractional order linear systems which can be transformed into the Brunovsky's observable …

Over the past few decades, Firefly Algorithm (FA) has attracted the attention of many
researchers by virtue of its capability of solving complex real-world optimization problems …

Robots have become an integral part of industrial automation. Their ultimate role and
contribution in this sector is essentially a function of the associated control strategy to ensure …

In this paper, an artificial potential field based navigational controller has been developed
for motion planning of humanoid robots. Here, NAO robots are used as the humanoid …

The walking stability of a humanoid robot is a fundamental problem due to the complex
nonlinear dynamic model of the robot's legs. This work introduces the performance tracking …

The attempt to use industrial robots for technological and interaction tasks, ie, robotic
machining and robotic assembling, implies on the one hand the knowledge of the interaction …

Online data memory is essential for adaptive estimation and control as it can enhance the
performance and robustness of adaptive systems compared to adaptive systems without …

In this study, we develop a novel damper prototype for robot manipulators of a mobile robot
to perform rescue operations in extreme environments like battlefields. Shock vibrations …