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Enhancing Robotic Swarms With Fractal Behaviours to Explore Unknown Enclosed Areas

Eissa, Hazem; Melis, Wim J. C.; Keates, Simeon; Doncheva, Radostinka

Authors

Hazem Eissa

Wim J. C. Melis

Simeon Keates

Radostinka Doncheva



Abstract

Swarm robotics coordinates multiple interacting robots for which it takes inspiration from nature. It has been used in different engineering applications, such as: food searching, path planning, and communication between robots. Additionally, when robots are used to explore unknown areas this can safeguard humans from having to take unnecessary risks. Most existing exploration strategies aim to reduce the exploration time as well as the robot?s power consumption. However, during the exploration process, the robots tend to preserve their formation which could, depending on the area to be explored, be inefficient. Therefore, this paper proposes to dynamically change the swarm?s formation as information about the explored area is being obtained. The restructuring obviously aims to reduce overall time and power consumption and considers any obstacles faced and/or the area itself. Overall, this means that the robots, as a swarm, will need to be more coordinated, as well as prepared for challenges that relate to e.g. the distribution of decision making across the swarm.

Citation

Eissa, H., Melis, W. J. C., Keates, S., & Doncheva, R. (2018, June). Enhancing Robotic Swarms With Fractal Behaviours to Explore Unknown Enclosed Areas. Paper presented at 3rd Medway Engineering Conference: Systems: Efficiency, Sustainability and Modelling, University of Greenwich, United Kingdom

Presentation Conference Type Conference Paper (unpublished)
Conference Name 3rd Medway Engineering Conference: Systems: Efficiency, Sustainability and Modelling
Conference Location University of Greenwich, United Kingdom
Start Date Jun 20, 2018
End Date Jun 20, 2018
Publication Date 2018
Deposit Date Feb 7, 2019
Pages 1--6
Book Title 3rd Medway Engineering Conference: Systems: Efficiency, Sustainability and Modelling
Keywords Fractal Formation, Swarm Robotics
Public URL http://researchrepository.napier.ac.uk/Output/1497081
Publisher URL http://gala.gre.ac.uk/20987/