Mayank Sharma

Papers

Total Citations

H-Index

About

Mayank Sharma is a researcher at the intersection of biomechanics and surgical robotics, with a primary focus on haptic simulation and vibration analysis in orthopaedic procedures. His most-cited work, "Vibration Analysis in Robot-Driven Glenoid Reaming Procedure" (2020), addresses a critical challenge in shoulder joint replacement surgery: the need for realistic haptic feedback during glenoid reaming. By characterizing tool vibration as a key mode of sensory feedback, Sharma’s research lays the groundwork for more immersive and effective haptic surgery simulators. Though his citation count is modest, his contributions are foundational for advancing robot-assisted orthopaedic training and improving surgical precision. His work is particularly notable for targeting a niche but clinically significant procedure, highlighting the potential of vibration-based feedback to enhance surgeon performance and patient outcomes. Sharma’s research bridges engineering and medicine, offering valuable insights for students and researchers interested in surgical simulation, haptic technology, and the future of robot-assisted surgery.