2 citations · 4 across the 4 of their papers we have counts for
4 papers
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles
Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas +4
We construct a reduced, data-driven, parameter dependent effective Stochastic Differential Equation (eSDE) for electric-field mediated colloidal crystallization using data obtained…
Hierarchical deep reinforcement learning controlled three-dimensional navigation of microrobots in blood vessels
Yuguang Yang, Michael A. Bevan, Bo Li
Designing intelligent microrobots that can autonomously navigate and perform instructed routines in blood vessels, a complex and crowded environment with obstacles including dense…
Micro/Nano Motor Navigation and Localization via Deep Reinforcement Learning
Yuguang Yang, Michael A. Bevan, Bo Li
Efficient navigation and precise localization of Brownian micro/nano self-propelled motor particles within complex landscapes could enable future high-tech applications involving f…
Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning
Yuguang Yang, Michael A. Bevan, Bo Li
Equipping active colloidal robots with intelligence such that they can efficiently navigate in unknown complex environments could dramatically impact their use in emerging applicat…