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Evolving collective behaviours in simulated kilobots
(Association for Computing Machinery, 2018-04-09)
The field of Evolutionary Robotics has multiple common tasks and widely used benchmark activities such as navigation, obstacle avoidance, and phototaxis. We present an evolutionary approach to learning behaviours that ...
Input and output data analysis for system dynamics modelling using the tidyverse libraries of R
From a number of perspectives, system dynamics is a data‐intensive activity. First, each modelling challenge addresses behaviour over time, where historical time series data inform the model‐building process, and techniques ...
Identifying the reality gap between abstract and realistic models using evolved agents and simulated kilobots
A common challenge in evolutionary swarm robotics is the transfer of simulated results into real-world applications. This difficulty can arise in a variety of real-world settings and problems such as sensory differences in ...