Papers

2

Total Citations

4

H-Index

2

About

Xiangbin Liu is a researcher whose work bridges the critical domains of nonlinear control theory and human-robot interaction. A key contribution is the development of a **Safe Sliding Mode Control (SSMC)** algorithm, which ingeniously integrates sliding mode control with control barrier functions via a quadratic program. This framework simultaneously ensures robust tracking performance and formal safety guarantees for nonlinear uncertain systems, with a direct application demonstrated in mobile robot path tracking. This work, published in 2023, is foundational for deploying autonomous systems in safety-critical environments. Beyond control theory, Liu addresses pressing societal challenges, such as urban autism, through projects like "Tom-Talker" (2019), which explores how technology can foster real-world social interaction. While these specific papers have garnered initial citations, Liu's work represents a forward-looking synthesis of rigorous mathematical control with human-centered applications, promising significant impact in both robotics and assistive technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Safe Sliding Mode Control Design with Its Application to Mobile Robot Path Tracking
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Beijing Jiaotong University, Jilin Province Science and Technology Department

Top Papers

  1. 1
  2. 2
    Tom-Talker
    2 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago