Max Robotics — Global Service Robot Directory + US Certification

About

Pingyu Jiang is a leading researcher at the intersection of additive manufacturing, digital twins, and smart industrial systems. His work centers on developing intelligent frameworks for design for additive manufacturing (DfAM), where he has pioneered methods to analyze the printability and integratability of complex assembly structures using expert systems and fuzzy Bayesian networks. His most cited paper (2022, 30 citations) introduces a novel adaptability analysis approach for DfAM, establishing a foundation for more reliable and optimized additive manufacturing processes. Jiang has also made significant contributions to the design and monitoring of smart and connected industrial products (SCIPs), creating knowledge graph models that enable self-monitoring and intelligent decision-making in cyber-physical systems. His research extends to practical industrial applications, including the development of integrated monitoring and maintenance frameworks for robot-driven equipment, exemplified by his work on anode carbon block grinding and polishing robots. Notably, he has advanced the field of digital twins with a generic multi-modal/multi-layer modeling method for remote monitoring and intelligent maintenance, and has explored reinforcement learning approaches for designing industrial product-service systems. With a growing citation record spanning from 2022 to 2025, Jiang’s work is shaping the future of intelligent manufacturing and Industry 4.0.