Luya Li

Simon Fraser University, Beihang University

Papers

Total Citations

H-Index

About

Luya Li is a robotics researcher whose work centers on the kinematic control and optimization of redundant robotic manipulators — systems with more degrees of freedom than strictly required for a given task, offering enhanced flexibility but demanding sophisticated control strategies. Li's most influential contribution, "Kinematic control of redundant robots and the motion optimizability measure" (2001, 42 citations), introduced an analytical framework for solving inverse kinematics in real time while accommodating joint velocity constraints — a significant practical advance for deployed robotic systems. Building on this foundation, Li developed the concept of the **motion optimizability measure**, a novel metric for evaluating and maximizing a robot's capacity for efficient, constraint-respecting motion. Subsequent work extended this framework to handle multiple simultaneous performance criteria in real-time control environments, and further explored singularity avoidance by examining the intricate relationships between joint geometry, orientation, and velocity limits. Collectively, Li's research addresses some of the most challenging computational and control problems in redundant robotics, offering solutions with direct implications for industrial automation and dexterous manipulation. With over 50 cumulative citations, Li's contributions remain a meaningful reference point for researchers working at the intersection of robot kinematics, optimization, and real-time control.