Sriram Marisetty

International Institute of Information Technology Bangalore

Papers

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About

Sriram Marisetty is a pioneering researcher at the intersection of neurosurgery and robotics, whose work is redefining precision in cranial procedures. His primary research areas include autonomous surgical navigation, robotic-assisted craniotomy, and mechatronic system design for neurosurgical applications. Marisetty’s major contribution lies in developing intelligent, automated systems that reduce reliance on manual, error-prone techniques. His landmark 2020 paper on an "Autonomous Neuro-Navigation System" (4 citations) introduces a robotic framework that replaces non-real-time radiographic guidance with dynamic, real-time path planning for craniotomy, significantly enhancing surgical accuracy. Complementing this, his "System Design of an Automated Drilling Device" (3 citations) addresses the high-stakes task of bone perforation, proposing a mechatronic solution to standardize and automate what is traditionally a highly specialized manual skill. Though early in its citation impact, this work is foundational for next-generation neurosurgical robotics, promising to democratize access to precise, safe cranial surgery. Marisetty’s innovations directly tackle the impromptu decision-making and manual variability that challenge current practice, positioning him as a rising leader in surgical automation.