In this paper, a hybrid clustering and gradient descent approach is proposed for automatically
constructing a multi-input fuzzy model where only the input-output data of the identified …

In this paper, a motion planning method based on the Soft Actor-Critic (SAC) is designed for
a dual-arm robot with two 7-Degree-of-Freedom (7-DOF) arms so that the robot can …

A method based on the concepts of genetic algorithm (GA) and recursive least-squares method
is proposed to construct a fuzzy system directly from some gathered input-output data of …

This paper addresses the problem of visual servo control for a five-degree-of-freedom robot
manipulator to perform pick-and-place tasks. A new hybrid switched reactive-based visual …

Most of the electrical systems today required higher performance on efficiency and lower
carbon dioxide consumption. Brushless DC (BLDC) motors can achieve these specifications …

In this study, we designed a multi-sensor fusion technique based on deep reinforcement
learning (DRL) mechanisms and multi-model adaptive estimation (MMAE) for simultaneous …

In this paper, a real-valued genetic algorithm (RGA) and a particle swarm optimization (PSO)
algorithm with a new fitness function method are proposed to design a PID controller for the …

A motion control structure with a distance fuzzy controller and an angle fuzzy controller is
proposed to determine velocities of the left-wheeled motor and right-wheeled motor of the two-…

In this paper, we propose an effective method to select the parameters of the switching-type
fuzzy controller by using the genetic algorithm so that a high performance of the overall …

In this paper, we designed and implemented a moving object prediction and grasping system
that enables a robot manipulator using a two-finger gripper to grasp moving objects on a …