activity
20152021
most citedCrossFill: Foam Structures with Graded Density for Continuous Material Extrusion

1 citations · 2 across the 6 of their papers we have counts for

collaborators

10 papers

cs.RO2021

Singularity-aware motion planning for multi-axis additive manufacturing

Tianyu Zhang, Xiangjia Chen, Guoxin Fang +2

Multi-axis additive manufacturing enables high flexibility of material deposition along dynamically varied directions. The Cartesian motion platforms of these machines include thre…

cs.CG20211 cited

Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures

Shengjun Liu, Tao Liu, Qiang Zou +3

Lattice structures have been widely used in various applications of additive manufacturing due to its superior physical properties. If modeled by triangular meshes, a lattice struc…

cs.RO2020

Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots

Rob B. N. Scharff, Guoxin Fang, Yingjun Tian +3

Real-time proprioception is a challenging problem for soft robots, which have almost infinite degrees-of-freedom in body deformation. When multiple actuators are used, it becomes m…

cs.GR2020

Length-optimal tool path planning for freeform surfaces with preferred feed directions

Qiang Zou, Charlie C. L. Wang, Hsi-Yung Feng

This paper presents a new method to generate tool paths for machining freeform surfaces represented either as parametric surfaces or as triangular meshes. This method allows for th…

cs.GR2020

A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling

Tim Kuipers, Eugeni L. Doubrovski, Jun Wu +1

3D printing techniques such as Fused Deposition Modeling (FDM) have enabled the fabrication of complex geometry quickly and cheaply. High stiffness parts are produced by filling th…

cs.CV2020

Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution

Chuhua Xian, Dongjiu Zhang, Chengkai Dai +1

Using the raw data from consumer-level RGB-D cameras as input, we propose a deep-learning based approach to efficiently generate RGB-D images with completed information in high res…