Robhand: A hand exoskeleton with real-time emg-driven embedded control. quantifying hand gesture recognition delays for bilateral rehabilitation
Assisted bilateral rehabilitation has been proven to help patients improve their paretic limb
ability and promote motor recovery, especially in upper limbs, after suffering a …
ability and promote motor recovery, especially in upper limbs, after suffering a …
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction
The accuracy of trajectory tracking and stable operation with heavy load are the main
challenges of parallel mechanism for wheel-legged robots, especially in complex road …
challenges of parallel mechanism for wheel-legged robots, especially in complex road …
[HTML][HTML] Sensorless force estimation for industrial robots using disturbance observer and neural learning of friction approximation
Contact force estimation enables robots to physically interact with unknown environments
and to work with human operators in a shared workspace. Most heavy-duty industrial robots …
and to work with human operators in a shared workspace. Most heavy-duty industrial robots …
A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone
As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
Neural approximation-based model predictive tracking control of non-holonomic wheel-legged robots
This paper proposes a neural approximation based model predictive control approach for
tracking control of a nonholonomic wheel-legged robot in complex environments, which …
tracking control of a nonholonomic wheel-legged robot in complex environments, which …
Asynchronous sensor fusion of GPS, IMU and CAN-based odometry for heavy-duty vehicles
V Girbés-Juan, L Armesto… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In heavy-duty vehicles, multiple signals are available to estimate the vehicle's kinematics,
such as Inertial Measurement Unit (IMU), Global Positioning System (GPS) and linear and …
such as Inertial Measurement Unit (IMU), Global Positioning System (GPS) and linear and …
Predictive hierarchical harmonic emotional neuro-cognitive control of nonlinear systems
H Mirhajianmoghadam, MR Akbarzadeh-T - Engineering Applications of …, 2022 - Elsevier
Emotion enables biological organisms to respond quickly and reasonably to uncertain and
unpredictable events. This basic survival instinct is remarkably in line with the theory of …
unpredictable events. This basic survival instinct is remarkably in line with the theory of …
Kinematic and dynamic control model of wheeled mobile robot under internet of things and neural network
Q Liu, Q Cong - The Journal of Supercomputing, 2022 - Springer
This study aims to solve the issues of nonlinearity, non-integrity constraints, under-actuated
systems in mobile robots. The wheeled robot is selected as the research object, and a …
systems in mobile robots. The wheeled robot is selected as the research object, and a …
Towards model-free tool dynamic identification and calibration using multi-layer neural network
In robot control with physical interaction, like robot-assisted surgery and bilateral
teleoperation, the availability of reliable interaction force information has proved to be …
teleoperation, the availability of reliable interaction force information has proved to be …
Parameter-adaptive event-triggered sliding mode control for a mobile robot
Mobile robots have played a vital role in the transportation industries, service robotics, and
autonomous vehicles over the past decades. The development of robust tracking controllers …
autonomous vehicles over the past decades. The development of robust tracking controllers …