Papers
15
Total Citations
248
H-Index
9
About
Zhijie Liu is a prolific robotics and control systems researcher whose work spans flexible manipulators, soft robotics, and bio-inspired robotic systems. His research is distinguished by its rigorous mathematical foundations, combining partial differential equation (PDE) modeling, boundary control theory, and adaptive neural network techniques to tackle complex dynamics in underactuated and compliant robotic systems. Liu's most influential contribution, "Boundary Control of a Flexible Robotic Manipulator With Output Constraints" (2016, 71 citations), established his expertise in handling input disturbances and performance constraints for flexible systems—a foundational challenge in modern robotics. He has since extended this framework to soft robotic arms modeled via Cosserat and screw theories, octopus-inspired continuum robots, and autonomous robotic fish, demonstrating remarkable breadth across bio-inspired platforms. Notably, his 2023 work on a linkage-driven underactuated robotic hand (37 citations) showcases his ability to bridge theoretical control with practical mechanical design, replicating nuanced human hand motions. His investigations into flexible fish tails and muscle-like actuation further reflect a sustained commitment to nature-inspired engineering. With over 230 cumulative citations across his top publications, Liu has established himself as a leading voice in distributed parameter systems and intelligent control for next-generation robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1Boundary Control of a Flexible Robotic Manipulator With Output Constraints71 citations · 2016
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10Dynamics modeling of a soft arm under the Cosserat theory6 citations · 2021