Li Chi-Kuang

Feng Chia University

Papers

1

Total Citations

2

H-Index

1

About

Li Chi-Kuang is a leading researcher in collaborative robotics and manufacturing optimization, with a focus on multi-agent systems and collision-free task coordination. His most-cited work, "Multiobjective optimization of collaborative robotic task sequence assignment problems under collision-free constraints" (2024, 2 citations), addresses a critical challenge in modern manufacturing: enabling multiple robot arms to work together safely and efficiently. By developing a multiobjective optimization framework, Li Chi-Kuang provides automated solutions for task sequence assignment that minimize collision risks while maximizing productivity—a key contribution to the field of industrial robotics. His research bridges theoretical optimization and practical automation, offering scalable approaches for complex collaborative environments. Though his publication record is emerging, this work demonstrates his ability to tackle real-world constraints in robotic coordination, positioning him as a promising voice in the intersection of operations research and robotics engineering. His contributions are particularly relevant for students and researchers exploring autonomous manufacturing systems, human-robot collaboration, and multi-robot task allocation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Multiobjective optimization of collaborative robotic task sequence assignment problems under collision-free constraints
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Feng Chia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago