A tutorial survey and comparison of impedance control on robotic manipulation
There have been significant interests and efforts in the field of impedance control on robotic
manipulation over last decades. Impedance control aims to achieve the desired mechanical …
manipulation over last decades. Impedance control aims to achieve the desired mechanical …
Control system design and methods for collaborative robots
Collaborative robots cooperate with humans to assist them in undertaking simple-to-
complex tasks in several fields, including industry, education, agriculture, healthcare …
complex tasks in several fields, including industry, education, agriculture, healthcare …
Adaptive fuzzy neural network control for a constrained robot using impedance learning
W He, Y Dong - IEEE transactions on neural networks and …, 2017 - ieeexplore.ieee.org
This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …
learning for a constrained robot, subject to unknown system dynamics, the effect of state …
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 fuzzy control for coordinated multiple robots with constraint using impedance learning
In this paper, we investigate fuzzy neural network (FNN) control using impedance learning
for coordinated multiple constrained robots carrying a common object in the presence of the …
for coordinated multiple constrained robots carrying a common object in the presence of the …
[图书][B] Robot force control
B Siciliano, L Villani - 1999 - books.google.com
One of the fundamental requirements for the success of a robot task is the capability to
handle interaction between manipulator and environment. The quantity that describes the …
handle interaction between manipulator and environment. The quantity that describes the …
[图书][B] Adaptive neural network control of robotic manipulators
Introduction; Mathematical background; Dynamic modelling of robots; Structured network
modelling of robots; Adaptive neural network control of robots; Neural network model …
modelling of robots; Adaptive neural network control of robots; Neural network model …
Adaptive human–robot interaction control for robots driven by series elastic actuators
Series elastic actuators (SEAs) are known to offer a range of advantages over stiff actuators
for human–robot interaction, such as high force/torque fidelity, low impedance, and …
for human–robot interaction, such as high force/torque fidelity, low impedance, and …
Adaptive fuzzy neural network command filtered impedance control of constrained robotic manipulators with disturbance observer
G Li, J Yu, X Chen - IEEE Transactions on Neural Networks and …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive fuzzy neural network (NN) command filtered impedance
control for constrained robotic manipulators with disturbance observers. First, barrier …
control for constrained robotic manipulators with disturbance observers. First, barrier …
Trajectory planning and optimized adaptive control for a class of wheeled inverted pendulum vehicle models
In this paper, we investigate optimized adaptive control and trajectory generation for a class
of wheeled inverted pendulum (WIP) models of vehicle systems. Aiming at shaping the …
of wheeled inverted pendulum (WIP) models of vehicle systems. Aiming at shaping the …