Papers

2

Total Citations

12

H-Index

2

About

Ronghao Wang is a robotics researcher whose work centers on multi-robot coordination and high-precision visual positioning systems. His most impactful contribution, the 2017 paper "A new finite-time average consensus protocol with boundedness of convergence time for multi-robot systems" (9 citations), addresses a fundamental challenge in swarm robotics: achieving rapid, guaranteed convergence in distributed decision-making. Wang's protocol not only improves convergence rates but also provides a provable upper bound on convergence time—a critical advancement for time-sensitive multi-robot applications like search-and-rescue or formation control. In parallel, his 2018 work on "High Precise Position Method Based on 2 CCD Cameras in Alternate-Angle Image Acquisition Mode" (3 citations) demonstrates applied innovation in industrial automation, developing a dual-camera system for sub-millimeter positioning in smartphone assembly. This work bridges theoretical robotics with practical manufacturing needs, showcasing Wang's versatility. While his citation counts reflect an emerging career, the finite-time consensus protocol stands as a notable achievement, offering a mathematically rigorous solution to a persistent problem in distributed robotics—a contribution that continues to influence researchers working on time-critical multi-agent systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A new finite-time average consensus protocol with boundedness of convergence time for multi-robot systems
9 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: PLA Army Engineering University, China Academy Of Machinery Science & Technology (China)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago