Enhancing Resilience of Robotics Logistics Networks Using Complex Network Theory Under Intelligent Transportation Systems Framework

Under the background of Sino-U.S. frictions and U.S. sanctions, the supply of high-end parts of China’s robot supply chain network is blocked and faces severe challenges. Through the modeling and analysis of complex network theory, calculating the shortest path length, it is found that the network has small world and scale-free characteristics. Random attacks and targeted attacks on nodes and edges show that the robustness of the network decreases sharply when the core node encounters targeted attacks, highlighting its vulnerability. This research is of great significance to enhance the risk resistance ability of the industrial chain, formulate diversified supply chain strategies, and solve the bottleneck problem.