In this study, a novel hybrid force/position controller in workspace of robotic manipulator
based on adaptive fuzzy control is developed to improve the controlling performance of force …

This paper proposes an adaptive fuzzy-neural inference system (ANFIS)-based control
approach for a six degrees of freedom (6-DoF) robotic manipulator. Its main objective is to …

Abstract Space manipulator with free-swinging joint failure simultaneously contains
kinematic and dynamic coupling relationships, so it belongs to a new underactuated system …

The energy-optimal planning of robot trajectory based on dynamics is studied in this paper.
We mainly focus on the trajectory optimization problem of industrial robots, which can …

This work aims at evaluating the inverse kinematics of a two-robot cooperative system using
Matlab/SimMechanics-based simulations and artificial intelligence tools, namely the …

To achieve precise trajectory tracking of robotic manipulators in complex environment, the
precise dynamic model, parameters identification, nonlinear characteristics, and …

To improve wood structure processing efficiency, a palletizing robot suitable for loading and
unloading glued laminated timber (GLT) has been developed. The robot comprises a six …

Programming the multi degrees of freedom (DOF) of robot arms in order to maximize their
functionality has recently remained a challenging job, time-consuming and costly operation …

As industrial robots are characterized by flexibility, load variation, and unknown interference,
it is necessary to develop a control strategy with strong robustness and adaptability, fast …

In this paper, two novel methodologies of employing machine learning (here, the type‐2
fuzzy system) are presented to control a multiagent system in which the agents are flexible …