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About

Anurag Sinha is a dynamic researcher whose work sits at the intersection of robotics, artificial intelligence, and intelligent systems. His research spans mobile robotics navigation, multi-robot task scheduling, AI-driven agribusiness applications, and cybersecurity in robotic infrastructures — making him a versatile contributor to both theoretical and applied domains. Sinha's most influential contribution, a comprehensive review of wheeled mobile robot stability and navigation (2023), has rapidly garnered 29 citations, reflecting the field's strong appetite for synthesizing advances in autonomous navigation across static and dynamic environments. His work on cloud-based multi-robot task scheduling using the PMW algorithm (17 citations) addresses critical challenges in coordinating autonomous systems at scale. Notably, his exploration of IoRT-integrated reinforcement learning frameworks for space robotics demonstrates an ambitious reach toward next-generation autonomous systems. More recently, Sinha has expanded into AI's transformative role in agribusiness (13 citations) and cybersecurity for robotic systems, addressing emerging threats to critical infrastructure. Across his portfolio, his cumulative citation impact underscores his growing recognition within the robotics and AI research communities. Students exploring autonomous systems, AI integration, or smart agriculture will find his body of work both practically grounded and forward-looking.