Zhaoyang Li
Papers
1
Total Citations
5
H-Index
1
About
Zhaoyang Li is a rising researcher in swarm robotics, with a focus on safe and scalable motion planning for large-scale multi-agent systems. Their work addresses critical challenges in coordinating robotic swarms, where ensuring safety and efficiency in dynamic environments is paramount. Li’s most influential paper, "Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic Swarm Using CVaR Constraints" (2024), introduces a novel framework that leverages Conditional Value-at-Risk (CVaR) to manage collision risks while optimizing long-term trajectories. This approach overcomes traditional limitations in scalability and safety, enabling swarms to perform complex, synchronized tasks without compromising robustness. Although early in their career, with 5 citations already accumulating, Li’s contributions are gaining traction for their practical implications in autonomous systems, from search-and-rescue to environmental monitoring. Their work exemplifies a blend of theoretical rigor and applied innovation, positioning them as a promising voice in the future of distributed robotics and risk-aware planning.
Research Focus
Key Achievements
Top Papers
- 1