Yung-Chien Lin
Papers
1
Total Citations
4
H-Index
1
About
Yung-Chien Lin’s research centers on multi-robot systems, path planning, and dynamic programming, with a focus on enabling autonomous navigation in unknown environments. His most-cited work, “Dynamic Programming Algorithm Based Path Planning of the Multiple Robot System” (2011), introduces a novel approach to coordinating cylindrical mobile robots as they move toward target positions without prior environmental knowledge. By applying dynamic programming to minimize displacement, Lin developed a supervised computer-based method that optimizes collision-free trajectories for multiple agents—a foundational contribution to decentralized robotics. Though his citation count (4) reflects a niche but specialized impact, his work addresses a core challenge in swarm robotics: balancing computational efficiency with real-time adaptability. Lin’s research bridges theoretical optimization and practical implementation, offering a scalable framework for applications in warehouse automation, search-and-rescue, and industrial logistics. His emphasis on algorithmic simplicity and robustness makes his approach particularly valuable for resource-constrained systems. For students and researchers exploring multi-agent coordination, Lin’s work provides a clear, methodical entry point into dynamic programming’s role in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1