Papers
18
Total Citations
189
H-Index
8
About
Zherong Pan is a robotics and computational researcher whose work spans robot motion planning, deformable object simulation, and multi-agent navigation. His research bridges the gap between physical modeling and algorithmic efficiency, developing methods that make complex robotic tasks computationally tractable in real-world settings. Pan's most recognized contribution is his pioneering work on robot motion planning for liquid pouring (2016, 34 citations), which introduced optimization-based trajectory planning guided by physical fluid simulation — a notably challenging problem due to the highly deformable nature of liquids. He has also made significant strides in accelerating deformable object simulation using CNN-based dimensionality reduction (2020, 31 citations), enabling real-time performance for thin-shell materials. His research on manipulating multiple objects (2022, 28 citations) addresses critical challenges in warehouse automation and service robotics. Beyond single-robot systems, Pan has advanced multi-robot coordination through decentralized graph neural network-based navigation (2021, 16 citations) and robust trajectory optimization via ADMM frameworks (2022, 15 citations). His broader portfolio encompasses contact-implicit trajectory optimization, planar linkage design, and multi-objective robot co-design, reflecting a researcher consistently pushing the boundaries of intelligent, physically-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Robot Motion Planning for Pouring Liquids34 citations · 2016
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- 3Algorithms and Systems for Manipulating Multiple Objects28 citations · 2022
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- 7Joint search of optimal topology and trajectory for planar linkages9 citations · 2022
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