Shengmin Lu

Papers

Total Citations

H-Index

About

Shengmin Lu is a robotics researcher whose work focuses on advancing trajectory tracking and motion control for mobile robotic systems. His most cited paper, "Hyperbolic Sliding Mode Trajectory Tracking Control of Mobile Robot" (2018), addresses a fundamental challenge in robotics: achieving precise and smooth path following despite system nonlinearities. Lu's key contribution lies in refining sliding mode control—a robust control methodology—by replacing the discontinuous symbolic function in traditional switching terms with a hyperbolic function. This innovation mitigates chattering and improves control continuity, making it more suitable for real-world robotic applications where smooth motion is critical. With 5 citations, this work has influenced subsequent studies in nonlinear control and mobile robot navigation. Lu's research sits at the intersection of control theory and practical robotics, offering solutions that enhance stability and accuracy in autonomous systems. His achievements underscore a commitment to bridging theoretical control methods with deployable robotic technologies, providing a foundation for safer and more reliable autonomous navigation in dynamic environments.