activity
20192025
most citedHierarchical deep reinforcement learning controlled three-dimensional navigation of microrobots in blood vessels

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.PE2025

Stability of complex communities: A perspective from discrete-time dynamics

Shuaiying Wang, Yuguang Yang, Aming Li

Understanding the stability of complex communities is a central focus in ecology, many important theoretical advancements have been made to identify drivers of ecological stability…

cond-mat.soft20212 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

A Simulation Algorithm for Brownian Dynamics on Complex Curved Surfaces

Yuguang Yang, Bo Li

Brownian dynamics of colloidal particles on complex surfaces has found important applications in diverse physical, chemical and biological processes. However, current Brownian dyna…

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…