Xiangru Xu
Papers
4
Total Citations
252
H-Index
3
About
Xiangru Xu is a leading researcher in safe autonomy and nonlinear control systems, with a focus on bridging rigorous theory with practical robotic implementation. His most influential work, the 2015 paper on control barrier function (CBF) based quadratic programs, has garnered over 200 citations and established a foundational methodology for guaranteeing safety in complex robotic systems, notably demonstrated on bipedal walking robots. This contribution has become a cornerstone in the field of safety-critical control. Xu further advances the real-world application of these theories through accessible, education-centric platforms, as shown in his 2017 work on simultaneous lane keeping and adaptive speed regulation using mobile robot testbeds. His recent efforts include developing open-source, OS-independent software toolkits and hardware platforms for comparing robot autonomy algorithms, reflecting a commitment to reproducible research and lowering barriers to entry. With additional contributions to observer-based control for nonlinear systems under disturbances, Xu’s work consistently integrates rigorous mathematical frameworks with deployable solutions, making him a key figure in the next generation of safe and reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
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