Pursuing a target by wheel-legged mobile robot using NMPC while optimizing obstacles passing.

In this paper, trajectory tracking control as the pursuit of a specific target by wheel-legged mobile robots (WLMRs) in an environment with the presence of obstacles is presented. These types of robots are designed to navigate different paths such as slippery trajectories, paths with obstacles, and other challenging paths. In addition, the robot can move its legs in different surface conditions and operate more flexibly with the help of wheels attached to the legs.

Intelligent time-delay reduction of nonlinear model predictive control (NMPC) for wheeled mobile robots in the presence of obstacles.

The speed of solving and processing factors that are beneficial in reaching the desired target is one of the problematic aspects of controlling robots that has been neglected by the majority of researchers. Therefore, it is essential to look into the factors that influence calculation speed and goal achievement, and there should be some solutions to control robots in a lower time without sacrificing accuracy. The speed of processing and operations in wheeled mobile robots (WMRs), as well as the speed of a nonlinear model predictive control (NMPC), are examined in this article.