Adwait Naik

Papers

Total Citations

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About

Adwait Naik is a researcher specializing in human-robot interaction, speech recognition, and embedded systems, with a particular focus on making robotic control more intuitive and accessible through voice-based interfaces. His work consistently explores the intersection of natural language processing and robotics, demonstrating a commitment to bridging the communication gap between human operators and automated systems. Naik's most recognized contributions include the development of voice-controlled robotic arms, most notably his work leveraging the ESP32 microcontroller paired with Android-based Bluetooth communication — a practical and cost-effective approach to accessible automation. His 2020 paper on Arduino-based voice-controlled robotic arms further established his expertise in low-cost, programmable hardware solutions for intelligent control systems. Complementing this, his research on HMM-based phoneme speech recognition for industrial robots highlights a more algorithmically rigorous dimension of his work, addressing real-world manufacturing environments where reliable human-robot communication is critical. With a total of 13 citations across his key publications, Naik's research has attracted growing interest within the robotics and embedded systems communities. His body of work is especially valuable for students and engineers seeking accessible frameworks for integrating speech-driven control into both industrial and consumer robotic applications.