Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

Dementia diseases are increasing rapidly, according to the World Health Organization
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …

Sliding Mode Control and Adaptive Control are widely studied in the area of Rotor UAV in
recent years. Although the performance of Rotor UAV with these controllers show high …

Due to the superior mobility and maneuverability to move toward any position and attain any
orientation simultaneously, Mecanum-wheels omnidirectional mobile robot (MWOMR) is …

Inertial sensing suites now permeate all forms of smart automation, yet a plateau exists in
the real-world derivation of global orientation. Magnetic field fluctuations and inefficient …

We introduce a novel magnetic angular rate gravity (MARG) sensor fusion algorithm for
inertial measurement. The new algorithm improves the popular gradient descent …

This paper proposes a novel fuzzy-adaptive extended Kalman filter (FAEKF) for the real-time
attitude estimation of agile mobile platforms equipped with magnetic, angular rate, and …

Contact force and torque sensing approaches enable manipulators to cooperate with
humans and to interact appropriately with unexpected collisions. In this paper, a mode …

Kalman filter is one of the most important estimation algorithms, which estimates certain
unknown variables given the measurements observed over time subject to a dynamic …

Abstract MEMS (Micro-Electro-Mechanical Systems) gyroscope is the core component in the
posture recognition and assistant positioning, of which the complex noise limits its …