In recent years, automatic mobile robots (AMRs) have been widely concerned in various
fields, such as material handling, unmanned aerial vehicle (UAV) cruise, automatic factories …

In this study, a method for optimizing membership function tuning for fuzzy control of robotic
manipulators using PID-driven data techniques is presented. Traditional approaches for …

This article proposes a kinematic method to continuously interpolate G01 commands in
industrial five-axis machine tools. Finite impulse response (FIR) filters are adopted to …

In this paper, we develop a novel path-constrained and collision-free optimal trajectory
planning algorithm for robot manipulators in the presence of obstacles for the following …

This letter proposes a nonlinear model predictive control (NMPC) approach for real-time
planning of point-to-point motions of serial robot manipulators that share their workspace …

This article presents a model predictive control (MPC) design based on dynamic event-
triggered mechanism (DETM). In the sensor-to-controller channel, the networks are …

In this article, an infinite-horizon optimal regulation problem is considered for a control-affine
nonlinear autonomous agent subject to input constraints in the presence of dynamic …

This paper presents a trajectory generation method for a nonlinear system under closed-
loop control (here a quadrotor drone) motivated by the Nonlinear Model Predictive Control …

In this article, we present a warm-start point algorithm in interior point methods for shrinking
horizon model predictive control with a variable discretization step. In the algorithm, a …

Optimization-based approaches such as Model Predictive Control (MPC) are promising
approaches in proactive control for safety-critical applications with changing environments …