Longfa Zhang

Chongqing Technology and Business University

Papers

2

Total Citations

12

H-Index

2

About

Longfa Zhang is a robotics researcher whose work focuses on the design and control of life support robots—autonomous systems engineered to assist in medical, rehabilitation, or caregiving environments. His major contributions lie in the development of modular omnidirectional mobile chassis and advanced trajectory tracking control methods. In his 2023 paper, Zhang proposed a novel chassis structure composed of three pairs of independently driven and steered modular wheel sets, addressing key challenges in mobility and maneuverability for life support platforms. Building on this, his 2024 work introduced a sliding-mode controller integrated with an extended state observer to achieve robust trajectory tracking under dynamic uncertainties. This paper has already garnered 7 citations, reflecting growing interest in his approach. Zhang’s research is notable for combining mechanical innovation with event-triggered control strategies, enhancing both the reliability and efficiency of robotic systems in critical applications. His work is particularly relevant for students and researchers exploring mobile robotics, nonlinear control, and human-robot interaction in healthcare settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Dynamics modeling and trajectory tracking control of a life support robot using sliding-mode control with extended state observer
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Chongqing Technology and Business University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago