2 citations · 2 across the 6 of their papers we have counts for
6 papers
FrameTwin: Curve-Anchored Gaussian Alignment from Sparse Views for Adaptive Wireframe 3D Printing
Wenting Wang, Zhuo Huang, Kun Qian +5
We present FrameTwin, a curve-anchored Gaussian alignment framework that uses sparse-view images to close the control loop for adaptive wireframe 3D printing. Our key idea is to ca…
Implicit Neural Field-Based Process Planning for Multi-Axis Manufacturing: Direct Control over Collision Avoidance and Toolpath Geometry
Neelotpal Dutta, Tianyu Zhang, Tao Liu +2
Existing curved-layer-based process planning methods for multi-axis manufacturing address collisions only indirectly and generate toolpaths in a post-processing step, leaving toolp…
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…
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…
Vector Field Based Volume Peeling for Multi-Axis Machining
Neelotpal Dutta, Tianyu Zhang, Guoxin Fang +2
This paper presents an easy-to-control volume peeling method for multi-axis machining based on the computation taken on vector fields. The current scalar field based methods are no…
Support Generation for Robot-Assisted 3D Printing with Curved Layers
Tianyu Zhang, Yuming Huang, Piotr Kukulski +3
Robot-assisted 3D printing has drawn a lot of attention by its capability to fabricate curved layers that are optimized according to different objectives. However, the support gene…