by W. A. F. W. Othman | M. A. Rosli | A. A. A. Wahab | S. S. N. Alhady "Homogeneous Swarm Robots Exploration"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,
URL: http://www.ijtsrd.com/papers/ijtsrd18398.pdf
Direct Link: http://www.ijtsrd.com/engineering/electrical-engineering/18398/homogeneous-swarm-robots-exploration/w-a-f-w-othman
open access journal of engineering, engineering journal, paper publication for engineering
Exploration process in a real application seems had attracts the interest from researchers and academics nowadays. The usage of robots rather than human themselves give many benefit in term of security and safety, also in time and energy consumption. This project aims to generate a code represent the exploration technique in an unknown environment for homogeneous multi-agents systems. In multi-agents system, there are many variable involve in the result of the exploration process. The number of the agents, network connectivity, type of hardware, the environment and other aspects must be considered in multi-agents system exploration investigation. However, due to time constraint, this project only studies the effect of the number of robots or agents in the exploration task. The technique chose for the task must have a certain rules and assumptions to make the exploration process run smoothly and efficient. The code has been developed by using NetLogo due to the availability of sample models and toolboxes. Recording of the data was also done through the use of NetLogo. Finally, the data is arranged by using Microsoft Excel to extract the recorded data for analysis process. The usage of Minitab software is used to plot the graph. Hopefully, this system can be used in real application with the appropriate hardware.
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Demonstration of the intelligent logistic system implemented in a warehouse. Robots and humans work together to do the job. Looks like a distributed version of a conveyor and is a good example of multi-agent system.