Shaojun Li

Papers

Total Citations

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About

Shaojun Li is a dedicated researcher in the field of humanoid robotics, with a primary focus on bipedal locomotion and gait control. His work centers on developing stable and adaptive walking strategies for humanoid robots, addressing the critical challenge of maintaining balance in dynamic environments. Li's most-cited paper, "Walking Control Method of Humanoid Robot Based on FSR Sensors and Inverted Pendulum Model" (2012, 7 citations), introduces a novel approach that integrates force-sensing resistor (FSR) feedback with the classic inverted pendulum model to enhance real-time stability during walking. This contribution provides a practical framework for improving robot responsiveness to uneven terrain. In his related study, "Gait Planning of Humanoid Robots Walking on Stairs" (2011, 3 citations), Li extends his research to stair navigation, a complex task requiring precise foot placement and torque modulation. While his citation counts reflect the specialized nature of his work, Li’s contributions are valuable for advancing humanoid robots’ ability to navigate human-centric environments, with potential applications in assistive robotics and autonomous exploration. His research underscores the importance of sensor-driven control in achieving robust locomotion.