Srinath Ramachandran

Beijing Institute of Technology, Rochester Institute of Technology

Papers

Total Citations

H-Index

About

Srinath Ramachandran is a robotics researcher whose work bridges assistive technology and intuitive human-machine interaction. His primary research areas include gesture recognition, autonomous navigation, and bio-robotics, with a focus on developing low-cost, practical solutions for real-world applications. His most influential work, "Recognition of human arm gestures using Myo armband for the game of hand cricket" (2017, 33 citations), demonstrates his innovative approach to gesture recognition by applying low-cost sensor technology to a culturally relevant context—the popular South Asian game of Hand Cricket. This paper highlights his ability to make advanced bio-robotic concepts accessible and engaging. Ramachandran has also contributed significantly to assistive robotics through his work on the "Smart Walker V," implementing the RTAB-Map algorithm for autonomous navigation (2019, 9 citations). This project aims to enhance the spatial awareness of robotic walkers designed for patients under intensive care, showcasing his commitment to using robotics for social good. His research is characterized by a practical, user-centered approach, making him a notable figure in the development of affordable and impactful robotic systems.