Hand-eye calibration enables proper perception of the environment in which a vision guided
robot operates. Additionally, it enables the mapping of the scene in the robots frame. Proper …

This paper proposes a novel Neural Network Adaptive Observer (NNAO) for Nonlinear
Systems with Partially and Completely Unknown Dynamics (NSPCUD), subject to variable …

This research presents a way to improve the autonomous maneuvering capability of a four-
degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV) to perform trajectory …

This paper addresses the formation consensus tracking control problem of uncertain
dynamical multi-agent system with nonlinear dynamics based on a leader–follower …

This study presents an event driven automatic controller to regulate the movement of a
mobile lower limb active orthosis (LLAO) triggered with the information obtained from …

The main goal of this study is developing an adaptive controller which can solve the
trajectory tracking for a class of quadcopter unmanned aerial system (UAS), namely a …

This research offers a neural network adaptive observer (NNAO) architecture for nonlinear
lateral vehicle dynamics with variable sampled delayed output. A radial basis function (RBF) …

This paper presents online simulation along with physical environments employing digital
twins to develop robotic and computer vision applications, such as bin picking, by providing …

This manuscript presents an algorithm to classify continuously electroencephalographic
(EEG) signals based on deep differential neural networks (DDNNs). The learning laws are …

In this work, we propose a reinforcement learning-based methodology for the regulation
problem of a Van der Pol oscillator with an actuator subject to constraints. We use two neural …