Jiahao Jia

Shandong University of Science and Technology

Papers

Total Citations

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About

Jiahao Jia is a robotics researcher whose work centers on the stability and precision control of autonomous transport systems, with a particular focus on manipulator-equipped mobile robots. In his most-cited paper, "Stability Control of Transport Robot Based on Iterative Learning Control" (2022), Jia addresses a critical challenge in logistics and industrial automation: maintaining platform stability while a robotic arm performs dynamic movements. By modeling joint positions, speeds, and accelerations to derive driving torque expressions, he introduced an iterative learning control (ILC) framework that significantly enhances trajectory tracking and disturbance rejection. Though early in his career—with his top paper currently holding 3 citations—this work lays a strong foundation for future advancements in adaptive, learning-based control for non-stationary robotic systems. Jia’s research is particularly relevant for applications in warehouse automation, collaborative robotics, and mobile manipulation, where payload movement can destabilize the base. His contributions signal a promising trajectory in bridging control theory with real-world robotic stability challenges.