Model predictive control (MPC) theory has gained attention with the recent increase in the
processing power of computers that are now able to perform the needed calculations for this …

Due to the fact that intelligent algorithms such as Particle Swarm Optimization (PSO) and
Differential Evolution (DE) are susceptible to local optima and the efficiency of solving an …

Current digging trajectory planning methods for excavator arms are limited to a single
digging cycle, which does not meet the continuous excavation demands of the task. To …

The capability of following a moving target in an environment with obstacles is required as a
basic and necessary function for realizing an autonomous unmanned surface vehicle (USV) …

This paper presents, evaluates, and validates a genetic algorithm procedure with parallel-
populations for the obtaining of minimum time trajectories for robot manipulators. The aim of …

This article deals with theissue of calculating the trajectory of the end-effector of an industrial
robot in the manufacture of composites. In the introduction to the article we describe the …

This paper describes GPU based algorithms to compute state transition models for
unmanned surface vehicles (USVs) using 6 degree of freedom (DOF) dynamics simulations …

In this paper, an indirect method for trajectory planning for industrial robots has been
addressed using an evolutionary algorithm. The algorithm is divided into three stages:(1) …

In the process of trajectory optimization for robot manipulator, the path that is generated may
deviate from the intended path because of the adjustment of trajectory parameters, if there is …

This paper presents a new general methodology based on the evolutionary algorithms—
elitist non-dominated sorting genetic algorithm (NSGA-II) and differential evolution (DE)—for …