Kaiyong Cai
Papers
2
Total Citations
3
H-Index
1
About
Kaiyong Cai is a leading researcher in multi-agent robotics, with a focus on control technology for networked and distributed systems, multi-agent path finding (MAPF), and human-in-the-loop coordination. His work addresses critical challenges in the safe and efficient operation of robot teams and automated guided vehicles (AGVs) in industrial environments. Cai’s most notable contribution is the development of **Robust Space-Time A***, a novel algorithm for Multi-Agent Pickup and Delivery (MAPD) that explicitly integrates human oversight into the planning process. This work, published in 2025, advances the state of the art by enabling more resilient and adaptable coordination in dynamic factory floors and logistics centers. He also co-edited a 2023 special issue of *Advanced Robotics* dedicated to control technology for networked and distributed robotics, helping to shape the discourse in this rapidly evolving field. While his citation counts are still growing, his recent algorithmic innovations and editorial leadership signal a rising impact in both academia and industry, particularly for applications requiring safe human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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