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Path Planning of Mobile Robot in Unknown Environment
Author(s) -
Pradipta Kumar Das,
Romesh Laishram,
Amit Konar
Publication year - 2010
Publication title -
international journal of computer and communication technology
Language(s) - English
Resource type - Journals
eISSN - 2231-0371
pISSN - 0975-7449
DOI - 10.47893/ijcct.2010.1032
Subject(s) - motion planning , computer science , mobile robot , path (computing) , heuristic , position (finance) , shortest path problem , plan (archaeology) , robot , metric (unit) , grid , grid reference , any angle path planning , mathematical optimization , real time computing , artificial intelligence , engineering , mathematics , computer network , theoretical computer science , operations management , graph , geometry , archaeology , finance , economics , history
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. KeywordsRobotics, Navigation, Real time A* algorithm, path planning.

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