MOBILE ROBOT PATH OPTIMIZATION ALGORITHM USING VECTOR CALCULUS AND MAPPING OF 2 DIMENSIONAL SPACE
DOI:
https://doi.org/10.11113/jt.v77.6548Keywords:
Robotics, mapping, artificial intelligenceAbstract
This research explores path integration in mobile robot navigation and path optimization technique using vector calculus. A simulated robot in a simulated environment is used to test the algorithm that is to be developed. The simulated robot is equipped with a sonar sensor and several infrared sensors on its chassis. Mobile robot navigation in an unknown environment is very crucial as It not only has to be concerned about reaching its destination but also to avoid obstacles that may be in the way. This algorithm can effectively allow a mobile robot to navigate an unknown environment without collision into obstacles.
References
M. A. Hossain and I. Ferdous. 2014. Autonomous Robot Path Planning in Dynamic Environment Using a New Optimization Technique Inspired by Bacterial Foraging Technique. In International Conference on Electrical Information and Communication Technology (EICT). 1-6.
K. Sugawara, M. Sano, I Yoshihara, K. Abe, and T. Watanabe. 1999. Foraging Behaviour of Multi-Robot System and Emergence of Swarm Intelligence. In IEEE International Conference on Systems, Man, and Cybernetics (SMC). 3: 257-262.
Xiaohong Cong, Hui Ning, and Zhibin Miao. 2007. A Fuzzy Logical Application in a Robot Self Navigation. In Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on. 2905-2907.
Chaomin Luo, Jiyong Gao, Xinde Li, Hongwei Mo, and Qimi Jiang. 2014. Sensor-based Autonomous Robot Navigation Under Unknown Environments with Grid Map Representation. In Swarm Intelligence (SIS), 2014 IEEE Symposium on. 1-7.
M. Mariappan, Choo Chee Wee, K. Vellian, and Chow Kai Weng. 2009. A Navigation Methodology of an Holonomic Mobile Robot Using Optical Tracking Device (OTD). In TENCON 2009-2009 IEEE Region 10 Conference. 1-6.
Nan Zhou, Xiaoguang Zhao, and Min Tan. 2013. RSSI-based Mobile Robot Navigation in Grid-Pattern Wireless Sensor Network. In Chinese Automation Congress (CAC), 2013. 497-501.
Michael Brady. 1985. Artificial Intelligence and Robotics. Artificial Intelligence. 26(1): 79-121.
E. S. Brunette, R.C. Flemmer, and C. L. Flemmer. 2009. A Review of Artificial Intelligence. In Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on. 385-392.
T. S. Collett. 1996. Insect Navigation En Route to the Goal: Multiple Strategies for tThe Use of Landmarks. The Journal of Experimental Biology. 199(1): 227-235.
Matthew Collett, Thomas S. Collett, and Rüdiger Wehner. 1999. Calibration of Vector Navigation in Desert Ants. Current Biology. 9(18): 1031-S1.
L. Delahoche, C. PeÌgard, E.-M. Mouaddib, and P. Vasseur, 1998. Incremental Map Building For Mobile Robot Navigation In An Indoor Environment. In Robotics and Automation, Proceedings. 1998 IEEE International Conference on. 3: 2560-2565.
Richard Vaughan. 2008. Massively Multiple Robot Simulations in Stage. In Swarm Intelligence 2(2-4). Springer. 189-208.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
