Yingxing Li

Southwest University of Science and Technology, Northwestern Polytechnical University

Papers

Total Citations

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About

Yingxing Li is a researcher specializing in robotics, control systems, and machine vision, with a focus on enhancing the reliability and adaptability of autonomous robotic platforms. Their major contributions include pioneering a fault-tolerant control method for robotic arms operating in hazardous radiation environments, leveraging machine vision as a backup for joint angle detection to ensure continuous operation despite sensor failures. This work, published in 2018, has garnered 6 citations, reflecting its foundational role in improving robotic safety in nuclear and space applications. Li also advanced bipedal locomotion by developing a parameter auto-tuning framework for whole-body stabilization and active impedance control, enabling more natural and robust walking in humanoid robots. This 2022 study, with 3 citations, addresses critical challenges in real-time adaptation to dynamic terrains. Li’s research bridges theoretical control algorithms with practical deployment, offering scalable solutions for industrial automation and assistive robotics. Their work stands out for its emphasis on fault tolerance and self-optimization, making it highly relevant for students and engineers seeking to build resilient, intelligent robotic systems.