Liu Yaqi
Papers
1
Total Citations
5
H-Index
1
About
Liu Yaqi’s research centers on the control and optimization of humanoid robot locomotion, with a particular focus on walking motion stability and dynamics. Her most-cited work, “Application and Research of Humanoid Robot Based on Second-Order Cone Programming” (2011), addresses the formidable challenge of controlling bipedal walking by introducing an optimization design method applicable at any time during the gait cycle. This approach leverages second-order cone programming to handle the robot’s rich dynamic model, offering a novel framework for ensuring stability and efficiency in real-time motion. While her citation count stands at 5, the work is notable for its early integration of convex optimization techniques into humanoid robotics—a field that has since gained significant traction. Liu’s contributions are particularly valuable for researchers exploring robust, computationally tractable solutions to complex robotic control problems. Her work underscores a commitment to bridging theoretical optimization with practical robotic applications, making her a thoughtful contributor to the ongoing evolution of humanoid locomotion.
Research Focus
Key Achievements
Top Papers
- 1