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Harry Zhang

12 papers hereh-index 11515 citations16 works total

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

author position
  • sole author1
  • first author2
  • middle author7
  • last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.RO7
  • cs.CV4
  • eess.SY1
same name
  • Harry Zhang — 14 papers, h 4
  • Harry Zhang — 10 papers, h 5
  • Harry Zhang — 4 papers, h 2
  • Harry Zhang — 3 papers, h 3
  • Harry Zhang — 1 paper, h 0
  • Harry Zhang — 1 paper, h 0

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
20202024
most cited6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN

7 citations · 16 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.RO2024

Self-Supervised Learning of Dynamic Planar Manipulation of Free-End Cables

Jonathan Wang, Huang Huang, Vincent Lim +5

Dynamic manipulation of free-end cables has applications for cable management in homes, warehouses and manufacturing plants. We present a supervised learning approach for dynamic m…

cs.CV2024

Learning Correspondence for Deformable Objects

Priya Sundaresan, Aditya Ganapathi, Harry Zhang +1

We investigate the problem of pixelwise correspondence for deformable objects, namely cloth and rope, by comparing both classical and learning-based methods. We choose cloth and ro…

eess.SY2024

Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions

Harry Zhang

Model-based Reinforcement Learning (MBRL) has shown many desirable properties for intelligent control tasks. However, satisfying safety and stability constraints during training an…

cs.RO2024

Towards Improving Learning from Demonstration Algorithms via MCMC Methods

Carl Qi, Edward Sun, Harry Zhang

Behavioral cloning, or more broadly, learning from demonstrations (LfD) is a priomising direction for robot policy learning in complex scenarios. Albeit being straightforward to im…

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