Max Robotics — Global Service Robot Directory + US Certification

About

Zhuzhu Li’s research sits at the exciting intersection of robotics, deep learning, and human–machine interaction, with a clear focus on creating intelligent systems that serve real-world needs. Her work spans two major domains: autonomous service robots and rehabilitation exoskeletons. In the former, she has pioneered the use of IoT and deep learning to automate model generation, notably developing an Empty-dish Recycling Robot that tackles labor shortages in the food service industry. Her most cited paper (2023, 21 citations) introduces a novel framework for automatic deep learning model construction, while a subsequent 2025 paper (4 citations) advances this by proposing dataset purification techniques for lightweight, efficient models. In rehabilitation robotics, Li has made significant contributions to lower limb exoskeletons, designing human-gait-based tracking control systems that improve therapy for stroke patients. Her 2022 paper (11 citations) demonstrates how imitating natural human walking enhances passive training outcomes, and her earlier work (2021) uses plantar reaction force for safer, more effective control. Additionally, her 2022 cross-disciplinary review (7 citations) showcases deep learning’s broader impact, from preserving cultural heritage to solving social problems. With a growing citation record and a clear trajectory toward practical, human-centered AI and robotics, Li is establishing herself as a researcher who bridges cutting-edge technology with tangible societal benefit.