Wei Na Geng
Papers
1
Total Citations
4
H-Index
1
About
Wei Na Geng is a roboticist whose research focuses on dexterous manipulation, grasping optimization, and the control of robotic hands. Her most-cited work, "Grasping Torque Optimization for a Dexterous Robotic Hand Using the Linearization of Constraints" (2019), introduces a novel algorithm that streamlines the complex problem of optimizing grasping torques. By replacing the nonlinear friction cone with a polyhedral cone, Geng transforms the optimization into a linear programming problem, dramatically reducing computational complexity while maintaining grasp stability. This contribution is foundational for enabling real-time, efficient control in multi-fingered robotic hands, with direct applications in industrial automation, prosthetics, and human-robot interaction. Though early in her career, her work has already garnered attention (4 citations) for its practical elegance. Geng’s research bridges theoretical optimization and applied robotics, offering a scalable solution for dexterous manipulation that promises to make robotic hands more adaptive and energy-efficient. Her approach stands out for its clarity and implementability, marking her as a rising voice in the field of robotic grasping and control.
Research Focus
Key Achievements
Top Papers
- 1