Xiao-Zhi Gao

Aalto University, Helsinki Institute for Information Technology

Papers

Total Citations

H-Index

About

Xiao-Zhi Gao is a researcher whose work bridges artificial intelligence and industrial automation, with a particular focus on artificial immune systems and robotics control. His most cited paper, "Theory and applications of artificial immune systems" (2010, 6 citations), explores biologically inspired computational models and their practical deployment in engineering contexts. This foundational work has helped shape understanding of how immune system principles can be adapted for problem-solving in complex systems. Gao also contributed to the development of an innovative robotics platform for rinsing systems in urban mass transit vehicles (2007, 2 citations), where he addressed the inefficiencies of traditional tractor-model washing systems. By designing a self-traction model that allows vehicle sets to be driven by their own motors during maintenance, he improved operational efficiency in transit infrastructure. Though his citation counts are modest, Gao’s work demonstrates a practical, application-driven approach to integrating intelligent control methods with real-world mechanical systems, offering valuable insights for researchers interested in the intersection of computational intelligence and industrial robotics.