Mohammad Honarvar

Papers

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About

Mohammad Honarvar’s research lies at the intersection of surgical robotics, optical sensing, and motion planning, with a focus on enhancing precision in minimally invasive procedures. His most cited work, “Optical Force Sensing In Minimally Invasive Robotic Surgery” (2019, 16 citations), introduces a novel optical slit-and-bicell sensor that clamps onto daVinci EndoWrist instrument shafts, enabling real-time force measurement at the tool tip during surgery. This contribution addresses a critical gap in haptic feedback for robotic systems, potentially improving patient safety and surgical outcomes. Honarvar also advanced needle-based interventions with “3D Motion Planning for Robot-Assisted Active Flexible Needle Based on Rapidly-Exploring Random Trees” (2015, 9 citations), which develops efficient path-planning algorithms for steerable needles in complex anatomical environments. His work demonstrates a commitment to translating theoretical robotics into practical clinical tools, with applications ranging from tumor ablation to biopsy. By combining optical sensing with intelligent motion planning, Honarvar’s research paves the way for safer, more autonomous surgical systems—a vital step toward next-generation operating rooms.