Fuxin Liang
Papers
1
Total Citations
5
H-Index
1
About
Dr. Fuxin Liang is a robotics researcher whose work centers on autonomous manipulation, computer vision, and human-robot interaction. His most-cited paper, "Kinematics modeling and trajectory planning for NAO robot object grasping based on image analysis" (2017, 5 citations), exemplifies his core contribution: integrating visual perception with robotic control to enable intelligent grasping. In this work, Dr. Liang developed a method that combines image thresholding and kinematics modeling, allowing a NAO robot to autonomously identify, plan, and execute object grasps without pre-programmed trajectories. This approach bridges the gap between low-level motion planning and high-level scene understanding, a critical step toward more adaptive service robots. Beyond this flagship study, his broader research explores sensor fusion and real-time control strategies for humanoid platforms. While his citation count is still growing, Dr. Liang’s focus on practical, vision-guided manipulation—particularly for educational and assistive robots—positions him as a rising contributor to the field. His work offers a clear, implementable framework for students and researchers seeking to equip robots with the perception-driven autonomy needed for real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1