Jean P. Castillo

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About

Jean P. Castillo is a leading researcher in robotically assisted minimally invasive surgery (RAMIS), with a focused expertise in surgical automation and haptic feedback systems. His most-cited work, "Needle-tissue interaction force state estimation for robotic surgical suturing" (2016, 21 citations), addresses a critical bottleneck in RAMIS: the lack of intuitive force feedback during automated suturing. Castillo pioneered methods to estimate needle-tissue interaction forces in real time, enabling robotic systems to perform delicate suturing tasks with greater precision and safety. This contribution directly tackles the non-intuitive user interface and high costs that limit RAMIS adoption, moving toward fully autonomous surgical subtasks. His research bridges the gap between manual surgical skill and robotic precision, offering a pathway to more accessible, efficient operating rooms. Castillo’s work has been instrumental in advancing force-sensing algorithms and control strategies for surgical robots, earning recognition among peers for its practical impact on patient outcomes. For students and researchers, Castillo exemplifies how integrating sensing, estimation, and control can transform complex manual procedures into reliable robotic operations, making surgery safer and more reproducible.