Thulasi Bikku

Vignan's Foundation for Science, Technology & Research

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About

Thulasi Bikku’s research centers on the intersection of artificial intelligence, machine learning, and robotics, with a particular focus on electromyography (EMG) and the Internet of Robotic Things (IoRT). Their most cited work, “EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning” (21 citations), explores how AI can interpret muscle-generated electrical signals to control prosthetic limbs, advancing human-machine interaction for assistive technologies. This paper, though later retracted, highlights Bikku’s ambition to integrate neural signal processing with robotic control. A second notable contribution, “A Concept of Internet of Robotic Things for Smart Automation” (10 citations), examines how IoRT can enable autonomous, interconnected robotic systems for industrial and domestic automation. Despite the retraction—which underscores the importance of research integrity—Bikku’s work has sparked discussion on AI-driven prosthetics and smart robotics. Their efforts reflect a commitment to leveraging computational intelligence for practical, real-world applications, particularly in healthcare and automation. For students and researchers, Bikku’s trajectory offers a cautionary yet instructive example of the challenges and opportunities in emerging fields like bionic control and IoRT.