Mengxuan Zhang

Stanford University, Anhui University of Technology

Papers

Total Citations

H-Index

About

Mengxuan Zhang is a researcher whose work bridges the critical intersection of autonomous systems and human-robot interaction, with a primary focus on ensuring safety in dynamic, real-world environments. Her most impactful contribution, the 2020 paper "On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions," has garnered 93 citations, establishing her as a key voice in autonomous driving safety. This work tackles the fundamental challenge of accounting for human driver uncertainty, proposing a framework that integrates formal safety guarantees with proactive planning—a vital step toward trustworthy autonomous vehicles. Zhang’s research demonstrates how action anticipation and intent prediction can be harmonized with rigorous safety constraints, offering a pathway for robots to navigate interactive scenarios without compromising on-road security. Additionally, she has explored rehabilitation robotics, as seen in her 2020 paper on upper limb rehabilitation robots, where she developed a control strategy using sEMG-based muscle strength estimation for active patient training. While this work has a smaller citation count, it reflects her versatility in applying control theory to human-centered applications. Zhang’s contributions are particularly notable for their practical emphasis on safety assurance, making her research essential reading for students and engineers working on autonomous systems, human-robot collaboration, and assistive robotics.