Dr. Santiago Muiños-Landin Profile

Dr. Santiago Muiños-Landin

at Univ Leipzig

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Proceedings Article | 20 August 2020 Presentation

Reinforcement learning with a single microswimmer

Santiago Muiños-Landin, Alexander Fischer, Viktor Holubec, Frank Cichos

Proceedings Volume 11469, 114690Z (2020) https://doi.org/10.1117/12.2568456

KEYWORDS: Organisms, Particles, Robotic systems, Robots, Machine learning, Bacteria

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Artificial microswimmers are designed to mimic the self-propulsion of microscopic living organisms to yield access to the complex behavior of active matter. As compared to their living counterparts, they have only limited ability to adapt to environmental signals or retain a physical memory. Yet, different from macroscopic living systems and robots, both microscopic living organisms and artificial microswimmers are subject to thermal noise as a key feature in microscopic systems. Here we combine real-world artificial active particles with machine learning algorithms to explore their adaptive behavior in a noisy environment with reinforcement learning. We use a real-time control of self-thermophoretic active particles to demonstrate the solution of a standard navigation problem with single and multiple swimmers and show that noise decreases the learning speed, increases the decision strength and modifies the optimal behavior based on a delayed response in the noisy environment.

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