Intelligent impedance control using wavelet neural network for dynamic contact force tracking in unknown varying environments

MH Hamedani, H Sadeghian, M Zekri… - Control Engineering …, 2021 - Elsevier
In this paper, the Intelligent Impedance Control based Wavelet Neural Network (IIC-WNN) is
introduced as a noble adaptive variable impedance approach to enhance the efficiency of …

Adaptive reinforcement learning in control design for cooperating manipulator systems

PN Dao, YC Liu - Asian Journal of Control, 2022 - Wiley Online Library
In this paper, an optimal motion/force hybrid control strategy based on adaptive
reinforcement learning (ARL) is proposed for cooperating manipulator systems. The optimal …

An adaptive robust backstepping improved control scheme for mobile manipulators robot

TL Mai, HT Tran - ISA transactions, 2023 - Elsevier
In this study, an approach with the position control scheme is proposed for the mobile
manipulator robot, by applying the adaptive strategies with the backstepping control …

Design of a solar-powered mobile manipulator using fuzzy logic controller of agriculture application

F Septiarini, T Dewi… - International Journal of …, 2022 - inderscienceonline.com
This paper shows the feasibility of applying a mobile manipulator powered by solar energy
as a harvesting robot in agriculture. The designs are started by designing the robot's …

Cooperation and coordination transportation for nonholonomic mobile manipulators: A distributed model predictive control approach

D Qin, J Wu, A Liu, WA Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article addresses the problem of cooperation and coordination transportation for
decoupling nonholonomic mobile manipulators (NMMs) in a workspace with obstacles. We …

Reinforcement learning compensated coordination control of multiple mobile manipulators for tight cooperation

P Xu, Y Cui, Y Shen, W Zhu, Y Zhang, B Wang… - … Applications of Artificial …, 2023 - Elsevier
This study presents a coordinated control method based on reinforcement learning for
multiple mobile manipulators when strong constraints and close coupling are involved in the …

Neural network-based variable stiffness impedance control for internal/external forces tracking of dual-arm manipulators under uncertainties

Y Zhou, Z Li, Y Li, M Zhu - Control Engineering Practice, 2023 - Elsevier
The desired interaction between manipulators, objects, and environments has resulted in
the internal/external force control for dual-arm manipulators being in increasing demand …

The model reference adaptive impedance control for underwater manipulator compliant operation

J Zhang, H Li, Q Liu, S Li - Transactions of the Institute of …, 2023 - journals.sagepub.com
It is essential for the diversity of operation targets during the underwater manipulator's task.
The joint friction, the time-varying characteristics of physical parameters, and inaccurate …

Hybrid adaptive tracking control method for mobile manipulator robot based on Proportional–Integral–Derivative technique

T Mai - Proceedings of the Institution of Mechanical …, 2021 - journals.sagepub.com
In this research, an adaptive tracking control method for the nonholonomic robot system is
addressed based on the hybrid Proportional–Integral–Derivative (PID) technique. The …

A distributed unscented predictive cooperation approach for networked mobile manipulators

D Qin, Z Jin, X Wu, A Liu, W Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cooperation control of networked mobile manipulators is a challenging task to be met. This
article presents a distributed unscented model predictive control method to address the …