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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 …
search and rescue, exploration, agriculture, military among others. In unstructured and …
From teleoperation to autonomous robot-assisted microsurgery: A survey
Robot-assisted microsurgery (RAMS) has many benefits compared to traditional
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …
Robot manipulator control using neural networks: A survey
Robot manipulators are playing increasingly significant roles in scientific researches and
engineering applications in recent years. Using manipulators to save labors and increase …
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
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 …
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 …
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
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 …
is presented. The distinguishing characteristic of the proposed control scheme is that the …
A teleoperation framework for mobile robots based on shared control
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 …
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
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 …
tracking control of robot manipulators for the capacity of parallel processing and nonlinearity …
Trajectory online adaption based on human motion prediction for teleoperation
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 …
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
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 …
of discrete-time nonlinear systems in a strict-feedback form. In the proposed scheme, the …