A survey of human-centered intelligent robots: issues and challenges
Intelligent techniques foster the dissemination of new discoveries and novel technologies
that advance the ability of robots to assist and support humans. The human-centered …
that advance the ability of robots to assist and support humans. The human-centered …
Adaptive neural network control of an uncertain robot with full-state constraints
W He, Y Chen, Z Yin - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
This paper studies the tracking control problem for an uncertain-link robot with full-state
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …
Adaptive neural impedance control of a robotic manipulator with input saturation
W He, Y Dong, C Sun - IEEE Transactions on Systems, Man …, 2015 - ieeexplore.ieee.org
In this paper, adaptive impedance control is developed for an-link robotic manipulator with
input saturation by employing neural networks. Both uncertainties and input saturation are …
input saturation by employing neural networks. Both uncertainties and input saturation are …
Adaptive neural control for robotic manipulators with output constraints and uncertainties
This paper investigates adaptive neural control methods for robotic manipulators, subject to
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …
Adaptive fault-tolerant control of uncertain nonlinear large-scale systems with unknown dead zone
In this paper, an adaptive neural fault-tolerant control scheme is proposed and analyzed for
a class of uncertain nonlinear large-scale systems with unknown dead zone and external …
a class of uncertain nonlinear large-scale systems with unknown dead zone and external …
Dynamic learning from adaptive neural control of robot manipulators with prescribed performance
M Wang, A Yang - IEEE Transactions on Systems, Man, and …, 2017 - ieeexplore.ieee.org
This paper presents dynamic learning from adaptive neural control (ANC) with prescribed
tracking error performance for an n-link robot manipulator subjected to unknown system …
tracking error performance for an n-link robot manipulator subjected to unknown system …
Neural network control of a rehabilitation robot by state and output feedback
In this paper, neural network control is presented for a rehabilitation robot with unknown
system dynamics. To deal with the system uncertainties and improve the system robustness …
system dynamics. To deal with the system uncertainties and improve the system robustness …
On a hierarchical adaptive and robust inverse dynamic control strategy with experiment for robot manipulators under uncertainties
This paper proposes a hierarchical robot manipulation control scheme for the manipulator
pushing task. Considering the contact surface and the object mass parameters are generally …
pushing task. Considering the contact surface and the object mass parameters are generally …
Adaptive neural network control of biped robots
C Sun, W He, W Ge, C Chang - IEEE transactions on systems …, 2016 - ieeexplore.ieee.org
In this paper, neural network control strategies based on radial basis functions are designed
for biped robots, which includes balancing and posture control. To deal with system …
for biped robots, which includes balancing and posture control. To deal with system …
Fuzzy adaptive control design and discretization for a class of nonlinear uncertain systems
In this paper, tracking control problems are investigated for a class of uncertain nonlinear
systems in lower triangular form. First, a state-feedback controller is designed by using …
systems in lower triangular form. First, a state-feedback controller is designed by using …