Kunal Shrivastava

Papers

Total Citations

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About

Kunal Shrivastava is a researcher whose work lies at the intersection of artificial intelligence, robotics, and bio-inspired computing. His primary research areas include autonomous mobile robot navigation, distributed intelligence systems, and human-robot interaction. Shrivastava made significant contributions by pioneering the application of Artificial Immune System (AIS) principles—specifically the Clonal selection and Idiotypic models—to robotics, demonstrating how biological immune mechanisms can be adapted for autonomous navigation and decision-making. His most cited work, "On Emulating Real-World Distributed Intelligence Using Mobile Agent Based Localized Idiotypic Networks" (2013, 10 citations), explores how mobile agents can emulate decentralized intelligence, while his second most cited paper, "Autonomous Mobile Robot Navigation using Artificial Immune System" (2013, 7 citations), provides a foundational framework for applying AIS to robotic path planning. Shrivastava also contributed to speech-based control systems, developing a client-server model for multi-robot voice command. His work bridges theoretical biology and practical robotics, offering novel approaches to creating more adaptive, decentralized robotic systems.