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...

Autonomous robot An autonomous robot is a robot that can perform tasks in unstructured environments with minimal human guidance. Planned path A planned path is a pre-determined, obstacle-free, trajectory that a robot can follow to reach its goal position from its starting position. Complete path planner A complete path planner is an algorithm that is guaranteed to find a path, if one exists. De...

The aim of disseminating this research article is to showcase a novel path planner method, which is shown to be an efficient offline path planner in terms of its capacity for analyzing workspace robot maneuvering skills and constructing collision free trajectories that yield the shortest possible path from initial point toward goal configuration. The determined route is considered to be adequat...

Autonomous robot navigation with the capability to perceive the surrounding environment of the robot enhances the efficiency and safety of the robot. A technique for terrain classification for traversability assessment of mobile robot navigating in natural terrain by extracting the textural features from visual sensing of terrain data using co-occurrence matrix is presented in this paper. The a...

A potential-based genetic algorithm is proposed for the motion planning of robot swarms. The proposed algorithm consists of a global path planner and a motion planner. The global path planning algorithm plans a trajectory, which the robot swarm should follow, within a Voronoi diagram of the free space. The motion planning algorithm is a genetic algorithm based on artificial potential models. Th...

This paper presents an integrated approach to mobile robot path planning by combining grid-map based and case-based methods. The map-based path planner is used to suggest new innovative solutions for a particular path planning problem. A probabilistic path transform method is introduced for grid-map based path planning which proposes several alternative solutions for a single path planning prob...

ABSTRACTThe paper deals with Robot motion and path planning in artificial intelligence. The aim of the paper is to develop a path planning programme for mobile robots that is based on laplacian technique. Robot path planning problem is an important combinational content of artificial intelligence and robotics. Its mission is to be independently movement from the starting point to the target poi...

In order to better study the trajectory of robot motion, a motion trajectory planning and simulation based on 6-DOF manipulator arm robot is designed. Three and five polynomial methods are adopted to plan motion trajectories. The advantages and disadvantages of the three and five polynomial trajectory planning are summarized. The trajectory planning in the right angle space can make the robot a...

The University of Tulsa, among other research institutions, performs research exploring the possibility of using Genetic Algorithms (GA’s) to develop an algorithm for autonomous robot navigation. We have achieved significant success in this area. However, we encountered a problem. We realized there is no standard metric for comparing different algorithms developed by many researchers working in...

This paper analyses the statements of video imaging, CT, infrared thermography and radiography applied in the road nondestructive testing, and design a path planning mobile robot with GPS positioning which can remarkably increase the efficient of road nondestructive testing. Besides, appropriate algorithm for nondestructive testing on the road autonomous mobile robot path planning is given. Thi...