Anka Chen

Anka Chen is currently a research scientist specializing in physics-based simulation and the capture of non-rigid objects. Anka got her PhD in Graphics from the University of Utah. Her recent research concentrates on creating parallel solutions for implicit time integration, aiming to deliver robust and efficient strategies for handling elasticity, collisions, and the dynamics of rigid bodies. Additionally, She is investigating the use of deep learning methods to speed up the convergence of physics solvers. A significant portion of her research also includes developing high-resolution deformation capture systems. Those systems are designed to collect real-world data on non-rigid objects, facilitating the study of inverse physics problems.

Posts by Anka Chen

机器人

借助 NVIDIA Isaac Lab 和 Newton 训练四足机器人运动策略并对布料操作进行仿真

物理在机器人仿真中发挥着至关重要的作用,它为机器人在真实环境中的行为及交互提供了精准的虚拟呈现基础。借助仿真器,研究人员和工程师能够以安全、 3 MIN READ