S. Kalaimagal

Papers

Total Citations

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About

S. Kalaimagal is a researcher at the forefront of surgical robotics and autonomous systems, whose work bridges the critical gap between machine perception and human-machine interaction. Her primary research areas encompass haptic feedback in robotic-assisted surgery, computer vision, and autonomous vehicle navigation. In her most impactful work, Kalaimagal pioneered a stereovision-based approach for retrieving variable force feedback in Robotic-Assisted Minimally Invasive Surgery (RAMIS), employing a Modified Inception ResNet V2 deep learning network. This contribution is particularly significant as it addresses one of the most persistent challenges in telesurgery—the loss of tactile sensation—by enabling surgeons to "feel" tissue interactions through visual data alone, a breakthrough that has garnered 7 citations since its 2024 publication. Earlier, she demonstrated her versatility by developing an autonomous vehicle navigation and mapping system that integrated GPRS-based internet communication for real-time vehicular control, also earning 7 citations. Kalaimagal's work stands out for its dual impact on both medical robotics and intelligent transportation, showcasing her ability to apply deep learning and sensor fusion across diverse domains. Her research continues to inspire advances in safer, more intuitive robotic systems.