Regensburg 2019 – wissenschaftliches Programm

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BP: Fachverband Biologische Physik

BP 6: Poster I

BP 6.4: Poster

Montag, 1. April 2019, 17:30–19:30, Poster B2

Microscopic active systems learning in noisy environments — •Santiago Muiños-Landin and Frank Cichos — University of Leipzig. Peter Debye Institut for Experimental Physics

Optimal behavior at the microscopic scale is a particularly challenging achievement. In addition to the intrinsic stochasticity of the motion observed in microscopic swimmers, the information that can be collected by active agents to optimize their behavior at this regime is usually sparse and noisy. However biological systems manage to face such challenge through different strategies depending on the propulsion and the sensing mechanisms coupled in robust enough sensory-motor processes. These achievements have been also recently observed in an artifical context, where following learning strategies, synthetic swimmers can also optimize their behavior in simple navigation tasks and also a significant influence of noise in the optimality of a strategy has been reported. Here we present a platform to study in detail such influence of noise in the dynamics and the behavior of a self-thermophoretic swimmer. Exploring the possibility of taking advantage of such fluctuations in single tasks but also considering collective behavior.