collaborators

6 papers

cs.RO2026

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…

cs.RO2026

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…

cs.GR2025

Can any model be fabricated? Inverse operation based planning for hybrid additive-subtractive manufacturing

Yongxue Chen, Tao Liu, Yuming Huang +5

This paper presents a method for computing interleaved additive and subtractive manufacturing operations to fabricate models of arbitrary shapes. We solve the manufacturing plannin…

cs.LG2025

Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites

Tao Liu, Tianyu Zhang, Yongxue Chen +4

We propose a neural network-based computational framework for the simultaneous optimization of structural topology, curved layers, and path orientations to achieve strong anisotrop…

cond-mat.soft2025

Simultaneous Topology Optimization of Differentiable and Non-Differentiable Objectives via Morphology Learning: Stiffness and Cell Growth on Scaffold

Weiming Wang, Yanhao Hou, Renbo Su +2

Topology optimization of microstructures plays a critical role in optimizing functional performance across diverse engineering applications. While metamaterials with enhanced mecha…

cs.GR2025

Toolpath Generation for High Density Spatial Fiber Printing Guided by Principal Stresses

Tianyu Zhang, Tao Liu, Neelotpal Dutta +5

While multi-axis 3D printing can align continuous fibers along principal stresses in continuous fiber-reinforced thermoplastic (CFRTP) composites to enhance mechanical strength, ex…