I am currently a postdoctoral researcher at the Shenzhen Campus of Sun Yat-sen University. My research focuses on exploiting the mechanical intelligence of rigid-flexible robots using advanced computational methods and machine learning tools.
My doctoral study, advised by Prof. WU Zhigang, advanced tensegrity robotics through mechanical modeling and computational methods. Before that, I worked on parallel computing and statistical analysis of turbulent flow under the mentorship of Prof. BAO Yun.
I am the creator of Rible.jl (逸步), an open-source Julia package for the computational design of rigid-flexible robots.
When my research gets stuck, I enjoy (not in the psychoanalytic sense) swimming, readings, and movies.
Ph.D. in Engineering Mechanics
Sun Yat-sen University Shenzhen Campus
MSc in Fluid Mechanics
Sun Yat-sen University
BSc in Theoretical and Applied Mechanics
Sun Yat-sen University
Constructing an efficient high-order nonsmooth time-stepping integration scheme for rigid--flexible multibody systems with frictional contacts and impacts is a challenging task. …
Tensegrity robots are composed of simple members (rigid bodies and tensile cables) and have features like lightweight, compliance, and robustness, thus representing a promising …
A bio-inspired multi-arm robot combining several spine-like tensegrity-based cable-driven manipulators to achieve compliant capture of uncooperative large objects.
A differentiable simulator based on our newly proposed nonsmooth modified symplectic integration scheme, paving the way of integrating machine learning into multibody dynamics.
A tensegrity structure-based robotic fish featuring an internal driving mechanism that can achieve high-frequency undulations.
An automatic-triggered gripper that has a fast response time by exploiting the asymmetric bistability of the dual-triangle tensegrity mechanism.
