Maitreyee Majumdar

Papers

Total Citations

H-Index

About

Maitreyee Majumdar is a rising researcher at the intersection of robotic surgery and human-robot interaction, with a focus on enhancing surgical precision and reducing cognitive load in the operating room. Her most-cited work, "Evaluation of a Voice-Enabled Autonomous Camera Control System for the da Vinci Surgical Robot" (2024), addresses a critical bottleneck in robotic surgery: the frequent task switching between tool and camera control that can lead to distraction and error. By developing and testing a voice-activated autonomous camera system, Majumdar demonstrated a novel approach to streamlining surgical workflows, offering a potential path toward safer, more intuitive robotic procedures. Though early in her career, her contributions are already gaining traction, with her work cited in discussions on autonomous surgical assistance and human-machine teaming. Majumdar’s research not only advances the technical capabilities of surgical robots but also prioritizes the surgeon’s cognitive experience, marking her as a thoughtful innovator in a field where precision and focus are paramount. Her work promises to shape the next generation of voice-enabled, semi-autonomous surgical tools.