Yung Chin Lin

Papers

Total Citations

H-Index

About

Yung Chin Lin’s research centers on multi-robot systems, motion planning, and human-robot interaction, with a focus on enabling coordinated behaviors in autonomous swarms. In his most-cited work, “Motion Planning of Multiple Pattern Formation for Mobile Robots” (2013), Lin introduced a novel approach that translates human arm gestures—detected via an inertia module—into formation controls for robot teams. By integrating flood fill and A* search algorithms, he programmed efficient motion paths that allow robots to dynamically reconfigure into multiple patterns. This contribution bridges intuitive human input with complex multi-agent coordination, offering a practical framework for applications in search-and-rescue, surveillance, and collaborative manufacturing. With 5 citations, the paper has influenced subsequent studies in gesture-based robot control and path optimization. Lin’s work stands out for its creative fusion of sensor-driven interaction and algorithmic planning, demonstrating how human gestures can serve as a natural interface for commanding robot collectives. His research continues to inspire advances in swarm intelligence and human-robot collaboration, making him a notable contributor to the field of mobile robotics.