A review on teleoperation of mobile ground robots: Architecture and situation awareness

S Opiyo, J Zhou, E Mwangi, W Kai, I Sunusi - International Journal of …, 2021 - Springer
Currently, the application of mobile ground robots spans a range of fields from surveillance,
search and rescue, exploration, agriculture, military among others. In unstructured and …

From teleoperation to autonomous robot-assisted microsurgery: A survey

D Zhang, W Si, W Fan, Y Guan, C Yang - Machine Intelligence Research, 2022 - Springer
Robot-assisted microsurgery (RAMS) has many benefits compared to traditional
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …

Robot manipulator control using neural networks: A survey

L **, S Li, J Yu, J He - Neurocomputing, 2018 - Elsevier
Robot manipulators are playing increasingly significant roles in scientific researches and
engineering applications in recent years. Using manipulators to save labors and increase …

Adaptive neural network control of a robotic manipulator with time-varying output constraints

W He, H Huang, SS Ge - IEEE transactions on cybernetics, 2017 - ieeexplore.ieee.org
The control problem of an uncertain n-degrees of freedom robotic manipulator subjected to
time-varying output constraints is investigated in this paper. We describe the rigid robotic …

Transportation control of double-pendulum cranes with a nonlinear quasi-PID scheme: Design and experiments

N Sun, T Yang, Y Fang, Y Wu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In real-world applications, industrial cranes commonly suffer from effects caused by the so-
called double-pendulum phenomenon in many situations. However, at present, the double …

Neural-network-based sliding-mode control of an uncertain robot using dynamic model approximated switching gain

C Liu, G Wen, Z Zhao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In this article, a new neural-network-based sliding-mode control (SMC) of an uncertain robot
is presented. The distinguishing characteristic of the proposed control scheme is that the …

A teleoperation framework for mobile robots based on shared control

J Luo, Z Lin, Y Li, C Yang - IEEE robotics and automation …, 2019 - ieeexplore.ieee.org
Mobile robots can complete a task in cooperation with a human partner. In this letter, a
hybrid shared control method for a mobile robot with omnidirectional wheels is proposed. A …

A novel supertwisting zeroing neural network with application to mobile robot manipulators

D Chen, S Li, Q Wu - IEEE transactions on neural networks and …, 2020 - ieeexplore.ieee.org
Various zeroing neural network (ZNN) models have been investigated to address the
tracking control of robot manipulators for the capacity of parallel processing and nonlinearity …

Trajectory online adaption based on human motion prediction for teleoperation

J Luo, D Huang, Y Li, C Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this work, a human motion intention prediction method based on an autoregressive (AR)
model for teleoperation is developed. Based on this method, the robot's motion trajectory …

Adaptive neural event-triggered control for discrete-time strict-feedback nonlinear systems

M Wang, Z Wang, Y Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper proposes a novel event-triggered (ET) adaptive neural control scheme for a class
of discrete-time nonlinear systems in a strict-feedback form. In the proposed scheme, the …