Papers
6
Total Citations
116
H-Index
4
About
Xuejian Bai is an emerging robotics researcher whose work sits at the intersection of marine robotics, biomimetic design, and autonomous systems control. Specializing in Underwater Vehicle-Manipulator Systems (UVMS), Bai has made meaningful contributions to one of robotics' most demanding domains — operating in unpredictable, resource-scarce underwater environments. His highly cited 2024 survey on underwater robots and operational control technologies (49 citations) has established itself as a key reference for researchers navigating this complex field, while his 2021 work developing a flexible flipper-propelled UVMS for grasping marine organisms (41 citations) demonstrated a creative, biologically inspired approach to practical ocean challenges such as aquaculture harvesting. Bai's research consistently bridges theoretical rigor with real-world application, encompassing collision-free motion planning using sliding mode control, hydrodynamic analysis, and pipeline tracking — all critical capabilities for deployable underwater systems. His 2025 contribution introducing a rigid-soft hybrid underwater gripper further reflects his commitment to solving persistent hardware limitations in subsea manipulation. Collectively, Bai's growing body of work signals a researcher poised to shape the next generation of intelligent, biomimetic underwater robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Underwater Robots and Key Technologies for Operation Control49 citations · 2024
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