2 citations · 2 across the 2 of their papers we have counts for
3 papers
cond-mat.soft2021★ 2 cited
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…
cond-mat.soft2020
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…
cond-mat.soft2019
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…