Yograj Singh

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About

Yograj Singh is a researcher at the forefront of assistive robotics and artificial intelligence, with a focused commitment to improving the quality of life for elderly populations. His key research areas encompass human-robot interaction, AI-driven autonomous systems, and the practical deployment of assistive technologies in real-world settings. Singh’s major contribution lies in critically bridging the gap between laboratory prototypes and viable, in-home solutions for senior care. His most cited work, “Microrobot for Elderly Care Using Advance AI Technology” (2023), has garnered 2 citations and provides a comprehensive analysis of two decades of robotic deployments, identifying the persistent challenges that have kept most innovations in the prototype stage. By systematically examining past failures and current limitations, Singh’s research offers a roadmap for future development, emphasizing the need for robust, user-centered design and adaptive AI. His work is notable for its pragmatic, problem-solving approach, directly addressing the critical question of why robots have not yet become commonplace in elderly care. Singh’s research is essential reading for students and engineers aiming to translate cutting-edge robotics into tangible, impactful solutions for an aging society.