Paul J. O'Dowd

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Embodied fitness assessment of robotic controllers is slow but grounded, while assessment in a simulated environment is fast but can run foul of the ‘reality gap’. We present a distributed co-evolutionary method to adapt the environmental model of an on-board simulator within the context of swarm robotics.
We investigate the reality gap, specifically the environmental correspondence of an on-board simulator. We describe a novel distributed co-evolutionary approach to improve the transference of controllers that co-evolve with an on-board simulator. A novelty of our approach is the the potential to improve transference between simulation and reality without an(More)
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