Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart
grids, as well as manufacturing and industrial production systems can exhibit complex …

This paper is mainly focusing on the problem of high-accuracy tracking control design for a
class of nonlinear systems subject to mismatched uncertainties. A novel asymptotic control …

For nonlinear systems, subject to Gaussian noise, the extended Kalman filter (EKF) is
frequently applied for estimating the system's state vector from output measurements. The …

This paper presents the design, implementation and experimental validation of a novel
robotic haptic exoskeleton device to measure the user's hand motion and assist hand motion …

A survey of the adaptive controllers deployed to address major inherent control issues in
robotic teleoperation systems is carried out. The study in particular explores the application …

Manual palpation of tissue and organs during a surgical procedure provides clinicians with
valuable information for diagnosis and surgical planning. In present-day robotassisted …

Trajectory inference is a hard problem when states measurements are noisy and if there is
no high-fidelity model available for estimation; this may arise into high-variance and biased …

In minimally invasive surgery (MIS) the continuously increasing use of robotic devices allows
surgical operations to be conducted more precisely and more efficiently. Safe and accurate …

The design of adequate countermeasures against drone's threats needs accurate trajectory
estimation to avoid economic damage to the aerospace industry and national infrastructure …

The current control methods applied to robotic manipulators either require full state and
force measurements, or use the state and force estimation in the absence of any kind of …