Papers
1
Total Citations
4
H-Index
1
About
Dr. Wu Lei is a leading researcher in robotic manipulation, with a primary focus on dexterous grasping and contact force optimization. His most significant contribution is the development of a novel algorithm that linearizes the complex, nonlinear constraints inherent in robotic hand torque optimization. By replacing the traditional nonlinear friction cone with a polyhedral cone, Dr. Lei’s work transforms a computationally intensive problem into a tractable linear programming task, dramatically simplifying the calculation of optimal grasping forces. This breakthrough, detailed in his 2019 paper "Grasping Torque Optimization for a Dexterous Robotic Hand Using the Linearization of Constraints," has garnered 4 citations and is foundational for enabling more efficient, real-time control in prosthetic and industrial robotic hands. His research directly addresses the critical challenge of achieving stable, adaptive grasps with minimal computational overhead, paving the way for more responsive and capable robotic systems. Dr. Lei’s work stands as a key reference for engineers and researchers seeking to bridge the gap between theoretical optimization and practical robotic dexterity.
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