Chun‐Hung Liu

Georgia Institute of Technology, Massachusetts Institute of Technology

Papers

Total Citations

H-Index

About

Chun-Hung Liu’s research bridges the theoretical elegance of graph theory with the practical challenges of robotics and automation. His most influential work focuses on deploying robots with limited sensing capabilities—specifically, assigning two sensors to vertices in graphs that are free of induced \(K_{1,6}\) subgraphs. This foundational contribution, published in 2015 and earning 23 citations, demonstrates how to efficiently place robots in complex networks while avoiding eight exceptional graph structures. Liu’s insights have direct implications for multi-robot coordination and sensor network design, offering a rigorous mathematical framework for deployment in real-world environments. Beyond graph theory, Liu has also made notable strides in industrial automation. His 2002 paper on reduced-cable smart motors, which uses DC power line communication to control servomotors through a single wire, has garnered 17 citations and addresses a longstanding engineering challenge: bulky, expensive cabling. By eliminating the need for separate power and control cables, this innovation simplifies installation and maintenance in automated systems. Liu’s work exemplifies how deep theoretical analysis can drive practical engineering solutions, making him a valuable contributor to both discrete mathematics and robotics.