9 citations · 23 across the 24 of their papers we have counts for
4 papers · 1 filter
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization
Aoran Lyu, Shixian Zhao, Chuhua Xian +3
Reduced-order simulation is an emerging method for accelerating physical simulations with high DOFs, and recently developed neural-network-based methods with nonlinear subspaces ha…
Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures
Xingjian Han, Yu Jiang, Weiming Wang +9
Joint injuries, and their long-term consequences, present a substantial global health burden. Wearable prophylactic braces are an attractive potential solution to reduce the incide…
Learning Based Toolpath Planner on Diverse Graphs for 3D Printing
Yuming Huang, Yuhu Guo, Renbo Su +9
This paper presents a learning based planner for computing optimized 3D printing toolpaths on prescribed graphs, the challenges of which include the varying graph structures on dif…
Function based sim-to-real learning for shape control of deformable free-form surfaces
Yingjun Tian, Guoxin Fang, Renbo Su +4
For the shape control of deformable free-form surfaces, simulation plays a crucial role in establishing the mapping between the actuation parameters and the deformed shapes. The di…