Many of the existing motion planning algorithms require the free space to be decomposed
into convex obstacle-free regions. This paper presents an algorithm for generating such …

Recently we can see significant increase in consumer demand for autonomous mobile
robots that are used for a wide range of functional tasks in a not completely determined …

This paper presents a modified natural selection based quantum behaved particle swarm
optimization (SelQPSO) algorithm for the path planning of mobile robot vehicles. To ensure …

It is an essential issue for mobile robots to reach the target points with optimum cost which
can be minimum duration or minimum fuel, depending on the problem. In this paper, it was …

Through Particle Swarm Optimization (PSO) path planning in an intricate environment turns
out to be a novel approach for robot's multi path planning. Automation and detection …

The paper presents a local navigation system for a mobile robot. The method doesn't take
into account kinematics and dynamics of the robot. The main concern of the presented …

The paper shows approach of unmanned surface vehicle motion planning in an
environment with obstacles. The structure of the control system hardware, software …

The aim of the robot path planning is searching for a path from a start to a goal position
without collisions with known obstacles minimizing length, difficulty and risk of the path. A …

Анотація Robots are widely used in various fields of production. These complex technical
devices are able to facilitate the work of man. Among the varieties of robots, it is necessary to …

The place and importance of mobile robots in todays industry is increasing day by day. The
use of mobile robots for industrial purposes such as sorting, moving and placing is no longer …