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researcher

Charlie C. L. Wang

15 papers hereh-index 5111.2k citations249 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author12

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.GR5
  • cs.CG4
  • cs.RO4
  • cs.CV1
  • math.NA1
same name
  • Charlie C. L. Wang — 10 papers, h 5
  • Charlie C. L. Wang — 9 papers
  • Charlie C. L. Wang — 6 papers, h 1
  • Charlie C. L. Wang — 4 papers, h 4
  • Charlie C. L. Wang — 2 papers, h 5
  • Charlie C. L. Wang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102023
most citedGeneral Support-Effective Decomposition for Multi-Directional 3D Printing

9 citations · 23 across the 14 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2021★ 1 cited

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.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.RO2018★ 9 cited

General Support-Effective Decomposition for Multi-Directional 3D Printing

Chenming Wu, Chengkai Dai, Guoxin Fang +2

We present a method for fabricating general models with multi-directional 3D printing systems by printing different model regions along with different directions. The core of our m…

cs.RO2016

Motion Imitation Based on Sparsely Sampled Correspondence

Shuo Jin, Chengkai Dai, Yang Liu +1

Existing techniques for motion imitation often suffer a certain level of latency due to their computational overhead or a large set of correspondence samples to search. To achieve…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.