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About

Zhu’s research focuses on the design and control of specialized robotic systems for challenging environments, with key contributions in rescue robotics, bipedal locomotion, and industrial automation. His most cited work introduces a rocker-type mobile platform for coal mine rescue robots, designed to navigate confined, unstructured underground spaces after gas and coal dust explosions. The platform features four independently driven wheels and a rocker assembly with a bevel gear differential, which maintains the robot’s body at an average angle between two rockers—enhancing stability and obstacle-crossing capability. Simulations in Adams and physical experiments confirmed strong terrain adaptability and robustness, earning this work 9 citations. In bipedal robotics, Zhu developed a hip-strategy push recovery method for under-actuated standing robots, enabling balance restoration against external disturbances (4 citations). Earlier, he contributed to arc-welding automation with a vision-based method for recognizing and guiding initial welding positions, using black line markings and two-time template matching to simplify image processing (2 citations). Zhu’s work demonstrates a practical, problem-driven approach to robotics, addressing real-world needs in disaster response, humanoid stability, and manufacturing precision.