In this paper, we study the online path planning for khepera II mobile robot in an unknown environment. The well known heuristic A* algorithm is implemented to make the mobile robot navigate through static obstacles and find the shortest path from an initial position to a target position by avoiding the obstacles. The proposed path finding strategy is designed in a grid-map form of an unknown environment with static unknown obstacles. When the mission is executed, it is necessary to plan an optimal or feasible path for itself avoiding obstructions in its way and minimizing a cost such as time, energy, and distance. In our study we have considered the distance and time metric as the cost function
The task of planning trajectories for a mobile robot has received considerable attention in the rese...
This chapter introduces two kinds of motion path planning algorithms for mobile robots or unmanned g...
[[abstract]]In this paper, a path planning method for autonomous mobile robots in a known indoor env...
In this paper, we study the path planning for khepera II mobile robot in an unknown environment. The...
A very challenging issue in robot navigation or path planning in an unknown environment is to find a...
The known algorithms for planning the trajectory of movement of mobile robots in an unknown environm...
Planning the path is the most important task in the mobile robot navigation. This task involves basi...
In this present work we propose a novel mobile robot path planning algorithm. Autonomous robots whic...
In this paper, we present a novel approach based on intelligent computing which offers to the autono...
In this dissertation, we proposed a robust and efficient navigation system for mobile robotics navig...
Path planning with obstacles avoidance in dynamic environments is a crucial issue in robotics. Numer...
Mobile robots are widely used in many industrial fields. Research on path planning for mobile robots...
Path planning in mobile robots must ensure optimality of the path. The optimality achieved may be in...
Abstract. This paper deals with the problem of finding a mobile robot path on an unknown world envir...
In this paper, we present an intelligent control of an autonomous mobile robot in unknown environmen...
The task of planning trajectories for a mobile robot has received considerable attention in the rese...
This chapter introduces two kinds of motion path planning algorithms for mobile robots or unmanned g...
[[abstract]]In this paper, a path planning method for autonomous mobile robots in a known indoor env...
In this paper, we study the path planning for khepera II mobile robot in an unknown environment. The...
A very challenging issue in robot navigation or path planning in an unknown environment is to find a...
The known algorithms for planning the trajectory of movement of mobile robots in an unknown environm...
Planning the path is the most important task in the mobile robot navigation. This task involves basi...
In this present work we propose a novel mobile robot path planning algorithm. Autonomous robots whic...
In this paper, we present a novel approach based on intelligent computing which offers to the autono...
In this dissertation, we proposed a robust and efficient navigation system for mobile robotics navig...
Path planning with obstacles avoidance in dynamic environments is a crucial issue in robotics. Numer...
Mobile robots are widely used in many industrial fields. Research on path planning for mobile robots...
Path planning in mobile robots must ensure optimality of the path. The optimality achieved may be in...
Abstract. This paper deals with the problem of finding a mobile robot path on an unknown world envir...
In this paper, we present an intelligent control of an autonomous mobile robot in unknown environmen...
The task of planning trajectories for a mobile robot has received considerable attention in the rese...
This chapter introduces two kinds of motion path planning algorithms for mobile robots or unmanned g...
[[abstract]]In this paper, a path planning method for autonomous mobile robots in a known indoor env...