Papers
2
Total Citations
36
H-Index
2
About
Liu Rui is a leading researcher in intelligent robotics and human-machine collaboration, with a primary focus on advancing human-robot interaction (HRI) and vision-based measurement systems. His most cited work, "Human-robot Interaction Method Combining Human Pose Estimation and Motion Intention Recognition" (2021, 34 citations), addresses a critical limitation in existing HRI frameworks: the reliance on depth cameras constrained by infrared detection range. By developing a method that fuses RGB-based human pose estimation with motion intention recognition, Liu has pioneered more adaptable, cost-effective interaction systems that operate effectively in diverse environments. This contribution is pivotal for applications in service robotics and industrial automation, enabling safer and more intuitive collaboration between humans and machines. Additionally, his research on "An Improved Monocular-Vision-Based Method for the Pose Measurement of the Disc Cutter Holder of Shield Machine" (2021) demonstrates his versatility in applying computer vision to precision engineering challenges, particularly in tunneling and construction robotics. Liu’s work stands out for its practical impact, bridging the gap between theoretical computer vision and real-world robotic systems. His innovations are shaping the next generation of autonomous and interactive robots, making him a notable figure in the field of intelligent robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
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