4 papers
Model-Free Co-Optimization of Manufacturable Sensor Layouts and Deformation Proprioception
Yingjun Tian, Guoxin Fang, Aoran Lyu +5
Flexible sensors are increasingly employed in soft robotics and wearable devices to provide proprioception of freeform deformations.Although supervised learning can train shape pre…
INF-3DP: Implicit Neural Fields for Collision-Free Multi-Axis 3D Printing
Jiasheng Qu, Zhuo Huang, Dezhao Guo +5
We introduce a general, scalable computational framework for multi-axis 3D printing based on implicit neural fields (INFs) that unifies all stages of toolpath generation and global…
Correspondence-Free, Function-Based Sim-to-Real Learning for Deformable Surface Control
Yingjun Tian, Guoxin Fang, Renbo Su +6
This paper presents a correspondence-free, function-based sim-to-real learning method for controlling deformable freeform surfaces. Unlike traditional sim-to-real transfer methods…
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…