Papers
1
Total Citations
2
H-Index
1
About
Lu Hong’s research focuses on the kinematics and optimization of robotic manipulators, particularly redundant serial robots. In her most-cited work, she developed an optimization algorithm for the redundant 7R robot, addressing the challenge of controlling robots with more degrees of freedom than necessary for a given task. By employing the Denavit-Hartenberg matrix to establish a closed-form equation for the 7R robot, she introduced a novel approach that uses the minimum condition number of the 5×5 Jacobian matrix as a control index under five constraints. This work, published in 2009, has garnered 2 citations, reflecting its niche but foundational contribution to the field of redundant robot optimization. Hong’s research is particularly valuable for applications requiring precise motion planning and singularity avoidance in complex robotic systems. Her contributions provide a framework for enhancing the dexterity and efficiency of redundant manipulators, making her work a reference for researchers exploring advanced robotic control and optimization techniques.
Research Focus
Key Achievements
Top Papers
- 1An Optimization Algorithm for Redundant 7R Robot2 citations · 2009