A Calibration Framework for Swarming ASVs’ System Design
on an improved simplest navigation technique. The swimming pool provides a controlled calibration framework for the proposed swarming algorithm. The performance of the system is determined by firstly, its
capability to allow the various robots to communicate amongst themselves in order to reach the desired location and secondly, the use of optimization in its searching strategy. By using basic theories of GPS steering, low-cost
microcontroller and straightforward wireless communication method, a framework which takes into consideration both mechanical constraints in its physical setup and the suitability of control methods, is presented.
In order to increase the robot’s buoyancy, high density foam has been added to the previous design and results of the new rudder simulation effect are also provided. No complex control is adopted due to the delay of the NMEAs data and the limitation of an 8-bit micro-controller. The potential of our simple animal inspired robot prototypes is verified and demonstrated in this study.
Duan, H.-b., Zhang, Xiang-yin,Wu, Jiang,Ma, Guan-jun, Max-Min Adaptive Ant Colony Optimization Approach to Multi-UAVs Coordinated Trajectory Replanning in Dynamic and Uncertain Environments. Journal of Bionic Engineering, 2009. 6(2): p. 161-173.
Abidin, Z.Z., Arshad, M. R.,Ngah, U. K.,Ong Boon, Ping,. Control of mini autonomous surface vessel. in OCEANS 2010 IEEE - Sydney. 2010.
Zulkifli Zainal Abidin, K.I.A.R., Mohd Rizal Arshad,Umi Kalthum Ngah,. Bukit Merah Lake Contour Mapping using Swarm of mini ASVs. in International Conference on Intelligent Unmanned Systems (ICIUS). 2010. Bali, Indonesia.
Zulkifli Zainal Abidin, M.R.A., Umi Kalthum Ngah,. A Survey: Animal-Inspired Metaheuristic Algorithms. in Proceedings of the Electrical and
Electronic Postgraduate Colloquium EEPC2009. 2009. Jawi, Penang, Malaysia.
Afek, Y., et al., A Biological Solution to a Fundamental Distributed Computing Problem. Science, 2011. 331(6014): p. 183-185.
Pan, W.-T., A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example. Knowledge-Based Systems. In Press,
Kumar, V. Scalable sWarms of Autonomous Robots and Mobile Sensors (SWARMS) project. [cited 2011 1 may 2011].
Abidin, Z.Z.A., Mohd Rizal; Ngah, Umi Kalthum, A simulation based fly optimization algorithm for swarms of mini autonomous surface vehicles application. Indian Journal of Geo Marine Sciences, 2011. 40(2)(Marine 2011): p. 250-266.
Abidin, Z.A., Arshad, M. R.,Ngah, U. K.,Kok Chee, Hou,. GPS boundary navigation of DrosoBots using MATLAB simulation. in Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International
Conference on. 2010.
- There are currently no refbacks.