International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Voice-Driven Query Recognition and Response System using Mini Humanoid Robot

Author(s) Mr. Jagadeesh Nandineni, Mr. S Mohan Roa, Ms. Nandini L, Ms. Thanmai Manchireddy, Mr. Gnaneswar Muppur, Mr. Tejeswar Reddy Machavaram
Country India
Abstract Voice-based human–robot interaction has emerged as a significant research domain for enabling natural, intuitive, and real-time communication between humans and intelligent robotic systems. Conventional humanoid robots have predominantly relied on predefined commands, keyword-based matching, or external application interfaces, which is limit conversational flexibility and reduce interaction intelligence. This paper presents the design, implementation, and evaluation of a voice- driven query to recognition and response system using the RoboMonk Mini humanoid robot.

The proposed system employs an onboard microphone to capture real-time user speech, which is processed using speech recognition and artificial intelligence-based language understanding techniques. Recognized speech is converted into textual queries and interpreted using an AI language model capable of generating context-aware and meaningful responses. The generated response is delivered through the text-to-speech module, while synchronized humanoid gestures are executed using intelligent bus servo motors to enhance the interaction of naturalness.

The system operates on an embedded Raspberry Pi processing platform, enabling autonomous and real-time conversational interaction without the dependency on external control interfaces. Experimental results to demonstrate the reliability of speech recognition performance, accurate AI-based response generation, smooth gesture synchronization, and improved user engagement. The proposed architecture is modular and scalable, supporting future enhancements such as multilingual interaction, emotion-based response adaptation, and autonomous mobility integration.
Keywords Humanoid robot, Speech recognition, Conversational AI, text-to-speech, human–robot interaction, embedded systems, and voice-driven control.
Field Computer > Automation / Robotics
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-17

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