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About

Jiaqi Wu is a robotics researcher whose work centers on the automation and control of heavy machinery and specialized robotic systems. His primary research areas include mining robotics, robotic excavation, and the dynamics of wall-climbing robots. Wu’s major contribution is the experimental and simulation-based analysis of digging force and power consumption in cable shovels, a foundational step toward automating open-pit mining equipment to boost efficiency and reliability. His most cited paper, “Digging force and power consumption during robotic excavation of cable shovel: experimental study and DEM simulation” (2020), has garnered 19 citations, underscoring its impact on mining automation. He has also advanced trajectory-tracking control for tracked wall-climbing robots, addressing the complex nonlinear interactions between tracks and walls under gravity and adsorption forces. More recently, Wu has explored fall coping strategies for humanoid robots, contributing to their safety and robustness. His work bridges practical industrial challenges with cutting-edge robotics, offering valuable insights for students and researchers interested in field robotics and autonomous systems.