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Changjin Li is a robotics researcher whose work has significantly advanced the computational foundations of robot dynamics and control. Specializing in the mathematical modeling of robotic systems, Li made notable contributions to Lagrangian formulations of robot manipulator dynamics, developing structured, closed-form equations of motion that improved both theoretical clarity and practical computational efficiency. His landmark 1989 paper introducing a new Lagrangian formulation garnered 28 citations, establishing it as his most influential work and a meaningful reference point in robot dynamics literature. Li's research consistently addressed the challenge of real-time computation—a critical bottleneck in robotic control. His 1992 work on fast inverse dynamics computation and his 1991 method for efficient Jacobian matrix calculation both reduced numerical operations substantially, making sophisticated control strategies more feasible on single-processor systems. His 1990 contributions extended this work into multi-arm coordination with optimal load distribution and dynamic model linearization along nominal trajectories, broadening the applicability of his methods to complex robotic architectures. Across a productive research span from the mid-1980s through the early 1990s, Li accumulated over 85 citations, reflecting a focused and impactful career dedicated to making robot dynamics computationally tractable for real-world engineering applications.