Abstract
Research in autonomous mobile robots is gaining much more attention in recent years, particularly in coordinating rescue missions and inspections of affected structures within disaster zones. It is the aim of this paper to contribute towards such advancements by introducing mobile robots navigation in virtually generated rescue mission environments. The randomly generated missions are mapped to real environments hosting mobile robots, which can unrestrictedly move in any open surroundings, without the need for the physical obstacles presence. To achieve this, a GUI was developed to randomly create missions of different sizes and complexities. The GUI offers the developer the choice of automatically generating such missions, edit them and/or create them. The robots may be programmed by various solving algorithms to complete the course and find a solution. The advantage of this approach is that it offers environment and robot real-time merging, robot performance tracking and rapid (on-the-fly) algorithms development. In this paper, the rescuing robot will follow an embedded Wall-Following algorithm.
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References
Cianci, C.M., Raemy, X., Pugh, J., Martinoli, A.: Communication in a Swarm of Miniature Robots: The e-Puck as an Educational Tool for Swarm Robotics. In: Şahin, E., Spears, W.M., Winfield, A.F.T. (eds.) SAB 2006 Ws 2007. LNCS, vol. 4433, pp. 103–115. Springer, Heidelberg (2007)
Gutierrez, A.: Open E-puck Range & Bearing miniaturized board for local communication in swarm robotics. In: IEEE International Conference on Robotics and Automation, Madrid, Spain (2009)
Wenguo, L., Winfield, A.F.T.: Open-hardware e-puck Linux extension board for experimental swarm robotics research. Microprocessors & Microsystems 35(1), 60–67 (2011)
Motlagh, O.R.E., Tang, S.H., Napsiah, I.: Development of a new minimum avoidance system for a behavior-based mobile robot. Fuzzy Sets and Systems 160(13), 1929–1946 (2009)
Autonomous, G.K.: mobile robot mechanical design. Verije University, Brussels (2006)
Owen, Y., Andrew, G.: Dynamical wall following for a wheeled robot, University Baltimore (March 2006)
Koren, Y., Borenstein, J.: Potential Field Methods and Their Inherent Limitations for Mobile Robot Navigation. In: Proceedings of the IEEE Conference on Robotics and Automation, Sacramento, California (1991)
Massari, M., Giardini, G., Bernelli-Zazzera, F.: Autonomous Navigation System for Planetary Exploration Rover based on Artificial Potential Fields. In: 6th International Conference on Dynamics and Control of Systems and Structures In Space, Riomaggiore, Italy (2004)
Xu, W., Tso, S., Fung, Y.: Sensor-based reactive navigation of a mobile robot through local target switching. In: 8th International Conference on Advanced Robotics, Univ. of Hong Kong (1997)
Yang, X., Moallem, M., Patel, R.: A layered goal-oriented fuzzy motion planning strategy for mobile robot navigation. IEEE Transactions on Systems, Man, and Cybernetics, Part B (2005)
Madhava, K.K., Prem, K.K.: Perception and remembrance of the environment during real-time navigation of a mobile robot. Robotics and Autonomous Systems 37(1), 25–51 (2001)
Marcel, D.: Graph Algebras and Automata, New York (2003)
Meng, W.: Fuzzy logic based robot path planning in unknown environment. In: International Conference on Machine Learning and Cybernetics, Hung Hom, China (2005)
Anmin, Z., Yang, S.: A fuzzy logic approach to reactive navigation of behavior-based mobile robots. In: IEEE International Conference on Robotics and Automation, Ont, Canada, (2004)
Janet M., S.: Neural networks for decision tree searches. In: Proc. of IEEE/EMBS-9 Conference, Clark Univ., Worcester, MA USA (1987)
Simon, X.Y., Max, M.: An efficient neural network approach to dynamic robot motion planning. Neural Networks 13(2), 143–148 (2000)
Roy, G., Andrzej, K., Stan, C.G.: Neural Network Dynamics for Path Planning and Obstacle Avoidance. Neural Networks 8(1), 125–133 (1995)
Basem, A.: Cellular automata for solving mazes. Dr. Dobb’s 18(2), 32–38 (1993)
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Annaz, F.Y., Saeed, A.H. (2012). Real Time Mobile Robot Navigation of Virtually Created Environments. In: Ponnambalam, S.G., Parkkinen, J., Ramanathan, K.C. (eds) Trends in Intelligent Robotics, Automation, and Manufacturing. IRAM 2012. Communications in Computer and Information Science, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35197-6_11
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DOI: https://doi.org/10.1007/978-3-642-35197-6_11
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