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About

Zikang Li is a rising star in the field of robotic systems, specializing in the design and development of advanced bipedal robots for high-altitude building maintenance and hazardous surface navigation. His research focuses on creating intelligent, adaptive climbing robots that can autonomously clean windows, curved pipes, and irregular building facades—tasks traditionally performed by human workers at great risk. Li’s major contributions include the development of a novel biped robot with adaptive suction modules for curved-surface climbing, and a Deep Q-Network-based hierarchical path planning system that enables efficient, autonomous navigation on vertical walls. His most cited work, "Design and Development of a New Biped Robotic System for Exoskeleton-Structure Window Cleaning" (2024), has already garnered 17 citations, reflecting its immediate impact on safety and automation in building maintenance. Li has also introduced a low-cost curvature detection method for untethered pipeline climbing robots, emphasizing energy efficiency and practical deployment. With over 28 total citations across his early-career publications, Zikang Li is establishing himself as a key innovator in climbing robotics, pushing the boundaries of autonomous systems for dangerous, high-altitude environments.