Robot Path Planning Based on Random Coding Particle Swarm Optimization

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robot Path Planning Based on Random Coding Particle Swarm Optimization

Mobile robot navigation is to find an optimal path to guide the movement of the robot, so path planning is guaranteed to find a feasible optimal path. However, the path planning problem must be solve two problems, i.e., the path must be kept away from obstacles or avoid the collision with obstacles and the length of path should be minimized. In this paper, a path planning algorithm based on ran...

متن کامل

A Global Path Planning Approach Based on Particle Swarm Optimization for a Mobile Robot

A new global path planning approach based on particle swarm optimization (PSO) for a mobile robot in a static environment is presented. Consider path planning as an optimization problem with constraints. The constraints are the path can not pass by the obstacles. The optimization target is the path is shortest. The obstacles in the robot’s environment are described as polygons and the vertexes ...

متن کامل

Optimal Path Planning of a Mobile Robot using Quadrant Based Random Particle Optimization Method

The Random Particle Optimization (RPO) method, used for determining the optimal path from a specified initial pose of a mobile robot in a static or dynamic environment, models obstacles and target as repulsive and attractive Coulomb potentials respectively. It is a sensor-based method drawing its methodology from bacterial foraging just as Genetic Algorithms (GA) are based on Darwin’s genetic e...

متن کامل

Smooth Path Planning for Mobile Robot Using Particle Swarm Optimization and Radial Basis Functions

One of the most important tasks to be performed by a mobile robot is to find a collision-free and smooth path to follow. Given a set of initial control points and using a Radial Basis Function (RBF), a method is proposed, in which is used the RBF’s property to approximate smooth functions to define a collision-free and short path. In this paper we formulate the training technique of an RBF as a...

متن کامل

Multi-objective Particle Swarm Optimization for Robot Path Planning in Environment with Danger Sources

Aiming at robot path planning in an environment with danger sources, a global path planning approach based on multi-objective particle swarm optimization is presented in this paper. First, based on the environment map of a mobile robot described with a series of horizontal and vertical lines, an optimization model of the above problem including two indices, i.e. the length and the danger degree...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2015

ISSN: 2156-5570,2158-107X

DOI: 10.14569/ijacsa.2015.060408