Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Qizhi Yang is a leading figure in agricultural robotics and intelligent automation, with a core focus on developing robotic systems for precision greenhouse operations. His major contributions span terrain-adaptive mobile robot control, autonomous harvesting, and digital twin modeling for agricultural machinery. His most influential work, "A multi-mode real-time terrain parameter estimation method for wheeled motion control of mobile robots" (2017), has garnered 33 citations, establishing a foundational approach for robots navigating complex, unstructured environments. Dr. Yang has also pioneered specialized hardware, including a 7-DOF upper-limb rehabilitation robot with flexible joints (2016) and a nighttime greenhouse tomato harvesting robot (2024), the latter designed to address low recognition accuracy and labor inefficiency in low-light conditions. His recent research on a digital twin model for a vegetable seedling transmission device (2025) demonstrates his commitment to integrating simulation and real-world performance through Adams/MATLAB co-simulation. By combining trajectory planning, dynamics analysis, and flexible joint design, Dr. Yang’s work is driving the next generation of robust, efficient robots for both agricultural and medical applications.