Qun Bo Fan

Guangdong University of Technology

Papers

2

Total Citations

23

H-Index

2

About

Qun Bo Fan is a researcher whose work sits at the intersection of multibody dynamics, robotics, and nonlinear control systems. His primary research focus is on the symbolic modeling and derivation of complex mechanical systems, with a particular emphasis on bicycle dynamics—a classic benchmark problem in nonlinear control. Fan’s major contribution lies in developing efficient, symbolic methods for modeling multibody systems with both holonomic and nonholonomic constraints, eliminating complex constraint equations to produce analytic, coupled dynamic models. His most cited work, "Development of Efficient Nonlinear Benchmark Bicycle Dynamics for Control Applications" (2015, 20 citations), provides a foundational framework for control engineers and roboticists working on two-wheeled autonomous vehicles. In a related paper, "Symbolic derivation of bicycle kinematics with toroidal wheels" (2015, 3 citations), Fan further advanced the field by demonstrating that holonomic constraints in toroidal-wheeled bicycles cannot be expressed in quartic form, revealing subtle geometric properties of wheel-ground interaction. While his citation counts are modest, Fan’s contributions are notable for their mathematical rigor and practical relevance to autonomous vehicle control, making his work a valuable reference for researchers exploring nonlinear dynamics and robotic locomotion.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Development of Efficient Nonlinear Benchmark Bicycle Dynamics for Control Applications
20 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Guangdong University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago