Zhiwen Li
Papers
7
Total Citations
70
H-Index
4
About
Zhiwen Li is a robotics researcher whose work spans mechatronic system design, adaptive control, and human-robot interaction, with a particular focus on advancing the intelligence and dexterity of collaborative robotic systems. His early work on wheel-legged robot design—his most cited contribution with 32 citations—demonstrated a strong foundation in mechanical innovation, combining locomotion versatility with active waist joint mechanics. Li has since concentrated heavily on adaptive and composite learning control strategies for high-degree-of-freedom collaborative robots, developing methods capable of handling parametric uncertainty while achieving superior tracking accuracy. His 2021 series of papers on composite learning admittance and interaction control collectively reflect a sustained effort to make robots safer and more responsive during physical human-robot interaction—a challenge of growing importance in industrial and assistive settings. Beyond classical control, Li has explored machine learning approaches including echo state networks and sparse online Gaussian processes for robot dynamics learning, broadening the toolkit available for real-time, data-efficient robot adaptation. His work on homography-based visual servoing further extends his contributions into robot perception and autonomous manipulation. With nearly 70 total citations across recent years, Li represents an emerging voice in intelligent robotics research.
Research Focus
Key Achievements
Top Papers
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