Mihir Chauhan

Papers

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About

Mihir Chauhan is an emerging researcher at the intersection of biomedical engineering and intelligent robotics, with a focus on assistive technologies and real-time embedded systems. His work on electromyography-operated soft finger-like actuators for prosthetics, published in 2024, pioneers a novel approach to creating compliant, muscle-signal-driven devices that can restore dexterous function for amputees. This contribution, already garnering 3 citations, demonstrates his ability to merge biomechanics with soft robotics to produce intuitive, low-cost prosthetic solutions. In parallel, Chauhan’s 2025 study on SD-YOLOv5—a real-time staircase detection system deployed on the Jetson Nano board—addresses a critical challenge in autonomous navigation for visually impaired individuals and mobile robots. By optimizing a deep learning model for edge computing, he achieved efficient, on-device inference with minimal latency, earning 2 citations and highlighting his skill in bridging advanced computer vision with resource-constrained hardware. These works underscore Chauhan’s commitment to developing practical, human-centered technologies that enhance quality of life, positioning him as a promising innovator in the fields of rehabilitation robotics and embedded AI.