Mayank Srivast

Papers

Total Citations

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About

Mayank Srivast is an emerging researcher in the field of humanoid robotics and artificial intelligence, with a particular focus on integrating neural network architectures into practical robotic systems. His most notable work, "Advancements in Humanoid Robotics: Designing an Artificial Neural Network-based Speech Recognition Robot for Tactical Deployment" (2024), introduces a novel framework for equipping humanoid robots with real-time speech recognition capabilities tailored for tactical and defense applications. This contribution addresses critical challenges in human-robot interaction, enabling more intuitive command interfaces in high-stakes environments. While his citation count is still growing—with 2 citations to date—his research represents a forward-looking approach to deploying AI-driven robotics in operational contexts. Srivast’s work bridges the gap between theoretical neural network models and tangible robotic implementations, positioning him as a promising voice in the intersection of robotics, speech processing, and autonomous systems. His ongoing efforts aim to enhance robot autonomy and responsiveness, with potential implications for search-and-rescue, surveillance, and collaborative human-robot teams.