Abstract
Autonomous mobile robot is a completely unknown or partially unknown, of its complex environment, which requires the ability to avoid obstacles in order to move safely and avoid the collisions while navigating. To solve this problem, it opted to propose an obstacle avoidance algorithm and implement it as a Decentralized Software Services (DSS) service that uses and combines multiple of sonar and infrared (IR) sensors to detect obstacles including the corner form obstacles, glass obstacles … etc. The obstacle avoidance process is divided into two parts or states, the open state, in which the obstacles are detected, and the obstacles avoidance state in which obstacles are avoided. The obtained results demonstrate the success of the proposed algorithm in which the risk, of collisions, is excluded because the proposed solution controls, automatically, the robot speed and takes into consideration the robot width and the security distance while driving, detecting and avoiding obstacles.
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References
Khatib, O.: Real-time obstacle avoidance for manipulators and mobile robots. Int. J. Robot. Res. 5(1), 90–98 (1995)
Yang, W.: Autonomous Robots Research Advances. Nova Publishers, New York (2008)
Ribeiro, M.I.: Obstacle Avoidance. Navigation/Collision Avoidance, November 2005
Zhang, D.: A design and simulation for autonomous Robot’s obstacle avoidance system based on fuzzy control. In: International Conference on E-Product E-Service and E-Entertainment, ICEEE 2010 (2010)
Zeng-Qi, S.U.N.: Intelligent Control Theory and Technology. Tsinghua University Press, Beijing (2004)
Jincong, Y., Xiuping, Z., Zhengyuan, N., Quanzhen, H.: Intelligent robot obstacle avoidance system based on fuzzy control. In: The 1st International Conference on Information Science and Engineering (ICISE 2009) (2009)
Chen, Y.-S., Juang, J.-G.: Intelligent obstacle avoidance control strategy for wheeled mobile robot. In: ICROS-SICE International Joint Conference 2009, Japan 2009
Andradóttir, S., Healy, K.J., Withers, D.H., Nelson, B.L.: Introduction to modeling and simulation. In: Proceedings of the 1997 Winter Simulation Conference (1997)
Leel, I.: Fuzzy motion planning of mobile robots in unknown environments. J. Intell. Robot. Syst. 37, 177–191 (2003)
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Chelghoum, A., Wang, Q., Wang, K. (2017). Design and Simulation of Autonomous Mobile Robots Obstacle Avoidance System. In: Pan, Z., Cheok, A., Müller, W., Zhang, M. (eds) Transactions on Edutainment XIII. Lecture Notes in Computer Science(), vol 10092. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54395-5_15
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DOI: https://doi.org/10.1007/978-3-662-54395-5_15
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