Cai-Tong Yue

Papers

1

Total Citations

2

H-Index

1

About

Dr. Cai-Tong Yue is a rising scholar in the field of agricultural robotics and multi-agent systems, with a focused expertise in task allocation and optimization for smart farming. Their most-cited work, "An adaptive multi-objective task splitting algorithm for agricultural multi-robot task allocation" (2026), addresses a pressing challenge in modern agriculture: coordinating multiple robots to improve harvesting efficiency amid labor shortages. By developing an adaptive algorithm that dynamically splits tasks among robots, Dr. Yue’s research offers a practical solution to the complex scheduling problems inherent in multi-robot coordination. This contribution has already garnered attention, with 2 citations in a short time, signaling its relevance to both academia and industry. Dr. Yue’s work stands out for its integration of multi-objective optimization with real-world agricultural constraints, paving the way for more autonomous and efficient farming systems. As a researcher committed to bridging theoretical algorithms and applied robotics, Dr. Yue is a promising voice in the evolution of precision agriculture and multi-robot collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
An adaptive multi-objective task splitting algorithm for agricultural multi-robot task allocation
2 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago