Papers

1

Total Citations

6

H-Index

1

About

Zhiying Ke is a researcher in robotics and multi-agent systems, with a particular focus on team coordination and formation optimization in simulated competitive environments. Their most cited work, “Formation optimization of RoboCup3D soccer robots using Delaunay triangulation network” (2018), introduces a novel approach to team formation design by applying Delaunay triangulation to partition the soccer field into smaller triangular regions. This method enhances spatial awareness and collaborative decision-making among robots, improving overall team performance. With 6 citations, this paper has contributed to advancing strategies in the RoboCup3D simulation platform, a key testbed for multi-robot coordination research. Ke’s work is notable for bridging computational geometry with practical robotics challenges, offering a structured way to optimize team formations dynamically. Their research is valuable for students and researchers interested in multi-agent systems, robot soccer, and the application of geometric algorithms to real-time coordination problems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Formation optimization of RoboCup3D soccer robots using delaunay triangulation network
6 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Nanjing University of Posts and Telecommunications

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago