MODIFIED VIRTUAL SEMI-CIRCLE PATH PLANNING
DOI:
https://doi.org/10.11113/jt.v78.9026Keywords:
Unmanned Ground Vehicle, Path Planning, Reactive Navigation, Obstacles Detection, Obstacles Avoidance, Optimal Path PlanningAbstract
The challenging part of path planning for an Unmanned Ground Vehicle (UGV) is to conduct a reactive navigation. Reactive navigation is implemented to the sensor based UGV. The UGV defined the environment by collecting the information to construct it path planning. The UGV in this research is known as Mobile Guard UGV-Truck for Surveillance (MG-TruckS). Modified Virtual Semi Circle (MVSC) helps the MG-TruckS to reach it predetermined goal point successfully without any collision. MVSC is divided into two phases which are obstacles detection phase and obstacles avoidance phase to compute an optimal path planning. MVSC produces shorter path length, smoothness of velocity and reach it predetermined goal point successfully.
References
Oroko, J., and Ikua, B. 2012. Obstacle Avoidance and Path Planning Schemes for Autonomous Navigation of a Mobile Robot: A Review. Sustainable Research and Innovation Proceedings. 4: 314-377.
Farah, R. N., Zuraida R. L., Umairah, S., Irwan, N., Hafiz, M. H. 2014. Challenging of Path Planning Algorithms for Autonomous Robot in Unknown Environment in Unknown Environment. Lecture Notes on Information Theory. 2: 198-202.
Gu. J., and Qixin, C. 2011. Path Planning for Mobile Robot in a 2.5-Dimensional Grid Map. Industrial Robot: An International Journal. 315-321.
Farah, R. N., Irwan, N., Zuraida R. L., Umairah, S., Hafiz, M. H. 2013. Challenging of Path Planning Algorithms for Autonomous Robot in Known Environment. Proceedings of the 3rd International Conference on Mathematical Sciences. 1602: 29-35.
Shi, C., Wang, Y., Yang, J. 2010. A Local Obstacle Avoidance Method for Mobile Robot in Partially Known Environment. Robotic and Autonomous Systems. 425-434.
Khatib, O. 1985. Real-time Obstacle Avoidance for Manipulators and Mobile Robots. IEEE International Conference on Robotics and Automation. 500-505.
Zhang, T., Zhu Y., Song J. 2010. Real-time Motion Planning for Mobile Robot by Means of Artificial Potential Field Method in Unknown Environment. Industrial Robot: An International Journal. 384-400.
Farah, R. N., Irwan, N., Zuraida, R. L., Amira, S., and Hafiz, M. H. 2014. Modified Virtual Semi-Circle Approach for a Reactive Collision Avoidance of a Mobile Robot in an Outdoor Environment. Applied Mechanics and Materials. 679: 171-175.
Amira, S., Farah, R. N., Irwan, N., Zuraida, R. L., and Hafiz, M. H., 2014. A Reactive Navigation for a Mobile Robot: An Improvement for Modified Virtual Semi Circle Approach. Australian Journal of Basic and Applied Sciences. 8(22): 35-39.
Farah, R. N., Irwan, N., Zuraida, R. L., Amira, S., and Hafiz, M. H. 2014. Path Planning for Mobile Robot Based on Reactive Collision Avoidance Method. Australian Journal of Basic and Applied Sciences. 8(11): 1-7.
Tang, S. H., Ang, C. K., Nakhaeinia, D., Karasfi, B., and Motlagh O. 2013. A Reactive Collision Avoidance Approach for Mobile Robot in Dynamic Environments. Journal of Automation Control Engineering. 1(1): 16-20.
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