Papers
9
Total Citations
104
H-Index
7
About
Chao Wu is a leading researcher in underwater robotics and dynamic systems, with a focus on modeling and control of complex robotic platforms. His major contributions lie in the application of Kane’s method to derive accurate dynamic models for a range of underwater vehicles, including remotely operated vehicles (ROVs) with manipulators, quadruped walking robots, and snake-like robots. Wu’s work on parametric identification using symbolic regression (34 citations) has advanced the field by enabling efficient structure searching for underwater vehicle models. He has also made significant strides in adaptive control, proposing novel PID controllers for robotic manipulators that eliminate the need for equality or inequality constraints on control gains (13 citations). His research on central pattern generators for gait control in quadruped robots (8 citations) and dynamic modeling of self-reconfigurable underwater systems (6 citations) demonstrates his versatility. With over 100 total citations across his most-cited papers, Wu’s work is foundational for developing more agile, robust, and autonomous underwater robots, impacting applications from deep-sea exploration to marine infrastructure maintenance.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Dynamic Model of ROV with a Robotic Manipulator Using Kane's Method19 citations · 2013
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- 5Central pattern generator based gait control for planar quadruped robots8 citations · 2014
- 6Dynamic model of underwater snake-like robot using Kane’s method7 citations · 2014
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- 9Kane’s Approach to Modeling Underwater Snake-Like Robot2 citations · 2012