Papers

2

Total Citations

96

H-Index

2

About

Ziwen Yang is a leading researcher in the field of multi-robot systems and autonomous navigation, with a particular focus on formation control and target entrapment using minimal sensing. His work addresses fundamental challenges in coordinating nonholonomic mobile robots—vehicles with constrained motion—under realistic, sensor-limited conditions. Yang’s major contributions include developing a leader-follower formation control framework that relies solely on bearing-only measurements, eliminating the need for expensive range or GPS data. This approach, detailed in his highly cited 2019 paper (50 citations), enables robust coordination even in GPS-denied environments. He further advanced the field with a novel method for entrapping a target in an arbitrarily shaped orbit using a single robot with bearing measurements (2020, 46 citations), demonstrating that complex geometric tasks can be achieved with minimal sensory input. These works have collectively garnered over 100 citations, underscoring their impact on practical robotics applications such as surveillance, search-and-rescue, and environmental monitoring. Yang’s research is notable for its elegant mathematical solutions to real-world constraints, making him a key figure in the development of scalable, sensor-efficient autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
96
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Leader-follower formation control of nonholonomic mobile robots with bearing-only measurements
50 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ministry of Education of the People's Republic of China, Shanghai Jiao Tong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago