Mobile Robot Path Planning in Static Environment using Modified A* (MA*) Algorithm
نویسندگان
چکیده
Path planning is one of the most important issues in mobile robots since it determines the intelligence of robots. It is about finding the shortest, collision free and smooth path form predefined start point to fixed target point with the presence of obstacles either static or dynamic. In this paper, we present a new approach of artificial intelligence for mobile robot. The proposed approach for robot path planning is doing some enhancement in A* algorithm in order to reduce the total path planning time and ensuring that the robot will reach the target successfully. The paths founded by this method are slightly sub-optimal, and we get better time performance result approximately 50% to 60% less time. Series of experimental comparison result with A* path planning approach are included in this paper to show the effectiveness and efficiency of our proposed method. This path planning approach can also be applied to computer games. Keywords—Robot Path Planning, A* algorithm, Intelligent Robotics, Obstacles Avoidance, Heuristic Algorithm.
منابع مشابه
Safe Navigation of Mobile Robot Using A* Algorithm
Path planning contributes a very significant role in navigation of a mobile robot. The accuracy of path depends on mapping and localization of an indoor environment. A number of path planning approach are already in applications like A* Algorithms, D* Algorithm (Heuristic Approach), Dijkstra’s Algorithm (Deterministic approach), Cell Decomposition Technique etc. The conventional A* algorithm me...
متن کاملRobot Path Planning Using Cellular Automata and Genetic Algorithm
In path planning Problems, a complete description of robot geometry, environments and obstacle are presented; the main goal is routing, moving from source to destination, without dealing with obstacles. Also, the existing route should be optimal. The definition of optimality in routing is the same as minimizing the route, in other words, the best possible route to reach the destination. In most...
متن کاملAdaptive Sliding Mode Tracking Control of Mobile Robot in Dynamic Environment Using Artificial Potential Fields
Solution to the safe and collision-free trajectory of the wheeled mobile robot in cluttered environments containing the static and/or dynamic obstacle has become a very popular and challenging research topic in the last decade. Notwithstanding of the amount of publications dealing with the different aspects of this field, the ongoing efforts to address the more effective and creative methods is...
متن کاملPath Planning of a Mobile Robot using Amended A-Star Algorithm
This paper presents an amended new algorithm for path planning of a mobile robot for collision avoidance using optimization techniques. A modified version of the existing A-star algorithm is used to guide the robot in a complex unknown environment with static obstacles to reach the target without any collision. And this amended A-star algorithm is created for an optimal path planning of a mobil...
متن کامل3D Path Planning Algorithm for Mobile Anchor-Assisted Positioning in Wireless Sensor Networks
Positioning service is one of Wireless Sensor Networks’ (WSNs) fundamental services. The accurate position of the sensor nodes plays a vital role in many applications of WSNs. In this paper, a 3D positioning algorithm is being proposed, using mobile anchor node to assist sensor nodes in order to estimate their positions in a 3D geospatial environment. However, mobile anchor node’s 3D path optim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013