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Bo Zhu

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1
  • cs.LG1
ORCID 0000-0001-9817-3855
same name
  • Bo Zhu — 9 papers, h 8
  • Bo Zhu — 9 papers
  • Bo Zhu — 3 papers, h 4
  • Bo Zhu — 3 papers
  • Bo Zhu — 2 papers, h 7
  • Bo Zhu — 2 papers

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

most citedFluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation

11 citations · 14 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023

Motion Planning for Aerial Pick-and-Place based on Geometric Feasibility Constraints

Huazi Cao, Jiahao Shen, Cunjia Liu +2

This paper studies the motion planning problem of the pick-and-place of an aerial manipulator that consists of a quadcopter flying base and a Delta arm. We propose a novel partiall…

cs.CV2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

Ziyu Wan, Christian Richardt, Aljaž Božič +8

Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer pe…

cs.RO2023★ 11 cited

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation

Zhou Xian, Bo Zhu, Zhenjia Xu +4

Humans manipulate various kinds of fluids in their everyday life: creating latte art, scooping floating objects from water, rolling an ice cream cone, etc. Using robots to augment…

cs.LG2022★ 3 cited

Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems

Daniel M. DiPietro, Bo Zhu

Here we present Symplectically Integrated Symbolic Regression (SISR), a novel technique for learning physical governing equations from data. SISR employs a deep symbolic regression…

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