V. K. Muneer
Papers
1
Total Citations
7
H-Index
1
About
Dr. V. K. Muneer is a leading researcher at the intersection of robotic surgery, haptic feedback, and deep learning. His work focuses on enhancing human-robot interaction in medical settings, particularly in Robot-Assisted Minimally Invasive Surgery (RAMIS). His most cited contribution, a 2024 study on stereovision-based force feedback retrieval, introduces a novel approach using a Modified Inception ResNet V2 network to estimate variable force from visual data alone—eliminating the need for physical sensors. This work has already garnered 7 citations, reflecting its immediate impact on the field. Dr. Muneer’s research addresses a critical gap in surgical robotics: restoring the sense of touch to surgeons operating remotely. By leveraging computer vision and advanced neural architectures, he enables more intuitive and safer surgical procedures. His contributions are paving the way for next-generation haptic feedback systems, with potential applications beyond surgery into teleoperation and virtual reality. Dr. Muneer’s innovative fusion of deep learning and robotics marks him as a rising authority in medical technology.
Research Focus
Key Achievements
Top Papers
- 1