A Review on the Form and Complexity of Human–Robot Interaction in the Evolution of Autonomous Surgery

    July 2024 in “ Advanced Intelligent Systems ”
    Tangyou Liu, Jiaole Wang, Shing Wai Wong, Andrew Razjigaev, Susann Beier, Shuhua Peng, Thanh Nho, Shuang Song, Dewei Chu, Chunhui Wang, Nigel H. Lovell, Liao Wu
    TLDR Human-robot interaction becomes simpler as robots achieve full autonomy in surgery.
    The review examines the evolution of human-robot interaction (HRI) in autonomous surgical systems, focusing on varying levels of autonomy (LoA) and their implications for surgical practice. It highlights the critical role of situational awareness (SA) and intention detection (ID) in ensuring safety and efficacy as robots achieve higher autonomy. The document discusses specific systems like ARTAS for hair restoration, which uses a 3D virtual model for precise operations, and compares systems like the da Vinci and Anovo, noting their respective strengths and challenges. The review emphasizes the need for standardized task definitions, improved HRI strategies, and extensive clinical trials to optimize the integration of autonomous systems in surgery. It concludes that as autonomy increases, the complexity of HRI evolves, requiring a shift from physical to cognitive interaction and a more shared human-robot paradigm.
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