Institute of Electrical and Electronic Engineering, Signal and System Laboratory, Boumerdes University,
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In this present work a proposed research for mobile robot navigation in unknown environment is addressed to solve some problems. The aim of this work is to develop an algorithm which allows a mobile robot to navigate through static and dynamic obstacles, and finding the path in order to reach a specified target. We propose an algorithm that provides the robot a trajectory to be followed to move from the initial configuration source to the specified configuration target. The robot trajectory is designed in a grid-map form of a known environment with static unknown obstacles. The proposed approach can deal a wide number of environments. This system constitutes the knowledge bases of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity. This approach based on intelligent computing offers to the autonomous mobile system the ability to realize these factors: recognition, learning, decision-making, and action (the principle obstacle avoidance problems).
Aims and Scope:
1. Mobile Robot communication 2. Mobile robot localization 3. Path planning 4. Obstacle avoidance 5. Visual perception by mobile robot 6. Autonomous mobile robot navigation 7. Artificial intelligence and anthropomorphous systems 8. Arm manipulator.