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About

Renchi Zhang is an emerging researcher working at the exciting intersection of robotics, machine learning, and human-robot interaction. Their work spans two compelling domains: the application of artificial intelligence to surgical and interventional robotics, and the development of interactive robotic systems for behavioral research. Zhang's most impactful contribution to date is a comprehensive 2024 review examining where machine learning stands — and where it is headed — in the field of flexible surgical and interventional robots. This timely work, which has already garnered 25 citations, addresses the growing role of minimally invasive procedures (MIPs) in modern medicine, highlighting how intelligent robotic systems can further reduce patient trauma, pain, and recovery time. By synthesizing the current landscape and charting future directions, Zhang has provided the research community with a valuable roadmap for this rapidly evolving field. Complementing this clinical focus, Zhang also contributed to the development of an open-source chess robot designed specifically for human-robot interaction (HRI) research, leveraging the standardized, rule-bound environment of chess to study how robot behavior influences human responses. Though early in citation count, this work reflects Zhang's breadth and commitment to reproducible, community-driven science across both medical and social robotics domains.