Swarms of mobile robots for area exploration
Ali, M; Das, S
Date: 9 June 2023
Conference paper
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
This study investigates the use of a random-walk
search algorithm for a swarm of mobile robots for area exploration. A stochastic process was employed to define the robots’
route, and a cluster-based distribution factor and nature-inspired
algorithms were used to explore undiscovered areas. A distributed
search technique was also ...
This study investigates the use of a random-walk
search algorithm for a swarm of mobile robots for area exploration. A stochastic process was employed to define the robots’
route, and a cluster-based distribution factor and nature-inspired
algorithms were used to explore undiscovered areas. A distributed
search technique was also evaluated for area exploration using
a multi-robot team, with cost and performance of the swarm
analyzed for determining the optimal size of the swarm. The
results suggested that the random-walk search algorithm is a
viable and cost-effective solution for area exploration by a swarm
of robots, with the added benefit of improving performance. In
addition, the optimal size of the swarm analysis revealed the
optimum number of robots for a particular task.
Earth and Environmental Science
Faculty of Environment, Science and Economy
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