In the multiple fields covered by Artificial Intelligence (AI), path planning is undoubtedly one
of the issues that cover a wide range of research lines. To be able to find an optimal solution …

There are significant advantages using the autonomous underwater vehicle (AUV) for
underwater search. Compared with a single AUV, multi-AUV offers greater efficiency and …

In this paper, an adaptive controller design is studied for single-input–single-output (SISO)
nonlinear systems with parameter uncertainties and the systems are enforced to subject to …

This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

This paper addresses a decentralized leader-follower formation control problem for a group
of fully actuated unmanned surface vehicles with prescribed performance and collision …

This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …

This paper presents adaptive neural tracking control of underactuated surface vessels with
modeling uncertainties and time-varying external disturbances, where the tracking errors …

In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …

Intelligent techniques foster the dissemination of new discoveries and novel technologies
that advance the ability of robots to assist and support humans. The human-centered …

This paper studies the platoon formation control problem for unmanned surface vehicles, in
the presence of modeling uncertainties and time-varying external disturbances. The control …