Aarshay Jain

Papers

Total Citations

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About

Aarshay Jain’s research lies at the intersection of surgical robotics, haptic feedback, and virtual simulation, with a focus on improving training and safety in robotic-assisted surgery. His most cited work, “Preoperative planning simulator with haptic feedback for Raven-II surgical robotics platform” (2016, 7 citations), introduces a novel simulator that uses the PHANTOM Omni haptic device to control a 3D virtual model of the Raven-II surgical robot. This platform allows surgeons to practice complex procedures in a risk-free environment, addressing a critical gap in early-stage training. By integrating haptic feedback, Jain’s system provides realistic tactile sensations, enhancing the learning curve for novice operators. While still early in his career, his contributions demonstrate a commitment to bridging virtual and physical surgical systems, offering a scalable solution for preoperative planning. His work has been cited in subsequent studies on surgical simulation and haptic interfaces, signaling its foundational role in advancing robotic surgery education. Jain’s research underscores the importance of accessible, high-fidelity training tools in an era of increasingly complex robotic platforms.