Papers
5
Total Citations
29
H-Index
4
About
Xintian Liu is a pioneering researcher in robotics, with a focus on cable-driven parallel robots, medical robotics, and autonomous navigation systems. His major contributions include the development of an all-in-one cable-driven parallel robot with a flexible workspace and an auto-calibration method, which addresses the traditional limitation of reconfiguring anchor points and external frames—a significant advancement for adaptable robotic systems. In the medical domain, Liu designed a Traditional Chinese Medicine massage robot for Tuina therapy, integrating multi-information fusion to objectively evaluate cervical spondylosis rehabilitation, bridging a gap in efficacy standards. His work on obstacle avoidance motion control and improved path planning algorithms enhances robot arm safety and efficiency, while his point-line feature visual-inertial SLAM algorithm boosts mobile robot localization accuracy in low-light and weak-texture environments. Additionally, Liu developed an efficient image stitching method for wind-turbine blade damage measurement in online repair robots, supporting renewable energy maintenance. With over 29 citations across his top papers, Liu’s interdisciplinary research—spanning flexible robotics, healthcare automation, and environmental monitoring—demonstrates high impact and innovation, making him a notable figure in advancing practical robotic solutions.
Research Focus
Key Achievements
Top Papers
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