Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on
accident reduction and more efficient use of travel time, with outstanding socio‐economic …

The aim of this paper is to provide a global overview of mobile robot control and navigation
methodologies developed over the last decades. Mobile robots have been a substantial …

This paper presents dynamic learning from adaptive neural control (ANC) with prescribed
tracking error performance for an n-link robot manipulator subjected to unknown system …

Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These
type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially" fuzzy …

In this note, a robust constrained control scheme is proposed for multi-input and multi-output
(MIMO) cascade nonlinear systems with unknown external disturbance and input saturation …

This paper discusses the problem of adaptive sliding mode trajectory tracking control for
wheeled mobile robots in the presence of external disturbances and inertia uncertainties. A …

In this paper, suffering from both complex uncertainties and underactuations, accurate
trajectory tracking control problem of an asymmetric underactuated surface vehicle (AUSV) …

This brief proposes an adaptive neural sliding mode control method for trajectory tracking of
nonholonomic wheeled mobile robots with model uncertainties and external disturbances …

We describe a tracking controller for the dynamic model of a unicycle mobile robot by
integrating a kinematic and a torque controller based on type-2 fuzzy logic theory and …