Six-axis force/torque sensors for robotics applications: A review
Six-axis force/torque sensors are transducers capable of measuring three dimensions of
force and three dimensions of torque, and have a wide range of applications in robotic …
force and three dimensions of torque, and have a wide range of applications in robotic …
Contactless torque sensors based on optical methods: A review
Torque is one of the mighty core parameters of rotating machinery, and it has profound
implications for the success of many engineering and industrial manufacturing activities. To …
implications for the success of many engineering and industrial manufacturing activities. To …
Uncertain disturbance rejection and attenuation for semi-Markov jump systems with application to 2-degree-freedom robot arm
X Yao, L Zhang, WX Zheng - IEEE Transactions on Circuits and …, 2021 - ieeexplore.ieee.org
This paper studies the composite refined anti-disturbance control problem of a 2-degree-of-
freedom robot arm system modeled by a semi-Markov jump system with multiple …
freedom robot arm system modeled by a semi-Markov jump system with multiple …
[HTML][HTML] Towards full automation in 3D concrete printing construction: development of an automated and inline sensor-printer integrated instrument for in-situ …
The realization of full automation in 3D Concrete Printing (3DCP) encounters numerous
obstacles, notably the absence of automated and inline testing methodologies to measure …
obstacles, notably the absence of automated and inline testing methodologies to measure …
Sensor and actuator fault diagnosis for robot joint based on deep CNN
J Pan, L Qu, K Peng - Entropy, 2021 - mdpi.com
This paper proposes a data-driven method-based fault diagnosis method using the deep
convolutional neural network (DCNN). The DCNN is used to deal with sensor and actuator …
convolutional neural network (DCNN). The DCNN is used to deal with sensor and actuator …
Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load observer
Q Yang, H Yu, X Meng, Y Shang - IET Control Theory & …, 2022 - Wiley Online Library
To solve the problems of low accuracy and poor stability due to modeling error, external
disturbance and unknown load, which exist in the position servo control of permanent …
disturbance and unknown load, which exist in the position servo control of permanent …
Deep residual neural-network-based robot joint fault diagnosis method
J Pan, L Qu, K Peng - Scientific Reports, 2022 - nature.com
A data driven method-based robot joint fault diagnosis method using deep residual neural
network (DRNN) is proposed, where Resnet-based fault diagnosis method is introduced …
network (DRNN) is proposed, where Resnet-based fault diagnosis method is introduced …
Deep convolutional generative adversarial network for inverse kinematics of self-assembly robotic arm based on the depth sensor
In this study, we propose a new deep convolutional generative adversarial kinematics
network (DCGAKN) to establish inverse kinematics of self-assembly robotic arm. We design …
network (DCGAKN) to establish inverse kinematics of self-assembly robotic arm. We design …
Optimal coordinated control for speed tracking and torque synchronization of rigidly connected dual-motor systems
Dual-motor systems have been broadly used to drive large inertia loads. In this article, the
optimal coordinated control problem of rigidly connected permanent magnet synchronous …
optimal coordinated control problem of rigidly connected permanent magnet synchronous …
Execution and perception of upper limb exoskeleton for stroke patients: a systematic review
P Xu, D **a, J Li, J Zhou, L **e - Intelligent Service Robotics, 2022 - Springer
Due to the lack of therapists and the demand for objective rehabilitation training indicators,
the upper limb rehabilitation exoskeleton (ULR-EXO) has attracted more and more …
the upper limb rehabilitation exoskeleton (ULR-EXO) has attracted more and more …