Keke Zhai
Papers
2
Total Citations
18
H-Index
2
About
Keke Zhai is a robotics researcher whose work centers on the motion planning and redundancy resolution of robotic manipulators, with a particular focus on inverse kinematics. Her major contributions lie in developing and formalizing acceleration-level minimization schemes for redundant robot manipulators, most notably through the Minimum Kinetic Energy (MKE) scheme derived via the Ma equivalence. This approach, detailed in her most-cited paper (11 citations), offers a pseudo inverse-type formulation that achieves efficient motion planning while minimizing kinetic energy. Zhai has also advanced the understanding of Zhang equivalence across different robotic levels, as demonstrated in her study on the PA10 robot manipulator (7 citations), which bridges theoretical frameworks with practical applications. Her work is notable for its systematic approach to unifying multi-level robotic schemes, providing a rigorous mathematical foundation for redundancy resolution. While her citation counts reflect a focused but growing impact, her research is particularly valued by those working on real-time control and energy-efficient robotics. Zhai’s contributions are essential reading for students and researchers interested in the intersection of optimization theory and robotic kinematics.
Research Focus
Key Achievements
Top Papers
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