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About

Tianyi Zeng is a leading researcher in continuum robotics and human–robot collaboration, with a focus on advancing manufacturing and industrial automation. Their work addresses critical challenges in controlling hyper-redundant continuum robots, which offer exceptional flexibility for tasks in constrained environments. Zeng’s 2023 paper on “Efficient and Scalable Inverse Kinematics for Continuum Robots” (22 citations) provides a foundational framework for determining optimal backbone shapes, enabling precise operation in complex workspaces. They further advanced robust control with a 2023 study on human–robot collaborative control using Model Predictive Control (15 citations), enhancing accuracy in high-value manufacturing tasks like repair and inspection. In 2025, Zeng’s work on “Teaching robots to weld by leveraging human expertise” (12 citations) bridges skill transfer from human welders to robotic systems, reducing scrap rates and boosting profitability in aerospace, automotive, and maritime industries. Their 2025 paper on fuzzy logic control for multi-section continuum robots (2 citations) extends adaptive control strategies. Zeng’s contributions are pivotal for scalable, intelligent robotic systems that integrate human expertise, with growing citation impact reflecting their influence on both theory and practical applications in industrial robotics.