Chongliang Liu
Papers
2
Total Citations
12
H-Index
2
About
Chongliang Liu is a robotics researcher whose work focuses on the critical intersection of motion planning and high-precision actuation for industrial and logistics applications. His primary research areas include autonomous navigation for non-holonomic vehicles and the design of advanced servo systems for robotic manipulators. Liu’s most impactful contribution is his 2022 optimization-based motion planner for car-like logistics robots, which directly addresses the real-time challenge of generating safe, smooth paths on narrow roads in constrained environments like logistics parks. This work, which has garnered 8 citations, is vital for improving the efficiency and safety of autonomous material handling. Complementing this, his earlier 2014 design of a high-integration, high-precision joint servo system—based on a DSP architecture—has been cited 4 times and is foundational for enabling the precise, stable joint control required in complex multi-DOF manipulator tasks. Together, these contributions showcase Liu’s ability to solve practical, industry-relevant problems, from the vehicle-level path planning to the component-level actuator design, making him a key figure in advancing the capabilities of modern logistics and industrial robots.
Research Focus
Key Achievements
Top Papers
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- 2