Suk-Kyo Hong

TL;DR: An adaptive fuzzy sliding-mode control (AFSMC) is presented for the robust antisway trajectory tracking of overhead cranes subject to both system uncertainty and actuator nonlinearity.

TL;DR: In this article, the authors present an effective method to achieve both obstacle-avoidance and target-tracking for an autonomous mobile robot in an indoor environment, which employs a wall following algorithm using neural network pattern recognition to avoid obstacles.

TL;DR: A new roadmap construction algorithm for path planning of a mobile robot using skeleton maps is proposed which alleviates the problems of the conventional algorithms by constructing roadmaps which consist of polygons around the crossing points.

TL;DR: This paper is studying on the 3-DOF attitude control of a helicopter, where it is assumed that those characteristics-heavily coupled system and nonlinearity, reduce considerably in hovering.

TL;DR: In this paper, a sliding mode control (SMC) based decoupling control for a class of underactuated mechanical systems is presented, where the whole system is decomposed into two subsystems and individual controllers are designed for each subsystem via SMC.