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About

Ruby Mishra is a robotics and automation researcher whose work sits at the intersection of medical robotics, unmanned aerial vehicles (UAVs), and intelligent control systems. She has made significant contributions to the development of robotic manipulators for medical applications, most notably CT-guided procedures such as biopsies, where her designs enable precise needle positioning using only coordinate-based inputs — a breakthrough with meaningful clinical implications. Her 2020 paper on solving inverse kinematics through deep artificial neural networks stands as her most influential work, accumulating 27 citations and demonstrating her commitment to integrating machine learning with mechanical systems. Mishra has also advanced the field of robotic arm optimization, exploring structural design, manipulability, and fabrication accuracy across multiple studies dating back to 2018. In parallel, her research extends to flying robots, addressing UAV path planning techniques and healthcare applications, with additional contributions to sustainable UAV material selection using multi-criteria decision-making methods. With a cumulative citation count surpassing 120 across her top publications, Mishra's interdisciplinary portfolio reflects a consistent drive to translate advanced robotics into real-world medical and aerospace solutions, making her work highly relevant for researchers in biomedical engineering, mechatronics, and autonomous systems.