Anuj Kumar Sharma
Papers
3
Total Citations
14
H-Index
2
About
Anuj Kumar Sharma is a robotics researcher whose work focuses on automation, swarm intelligence, and novel communication paradigms for multi-robot systems. His most impactful contribution is the design and development of a baggage sorting robotic system for airports, which addresses the critical need for faster, more efficient luggage handling through automation. This paper has garnered 9 citations, reflecting its practical relevance in logistics and transportation. Sharma has also pioneered a novel color-coded light-based communication protocol for autonomous swarm robotics, enabling decentralized coordination without complex hardware. His recent work enhances this approach using XGBoost, a machine learning technique, to improve decision-making and scalability in swarm robots, achieving 2 citations since 2024. By integrating low-cost visual communication with AI-driven coordination, Sharma’s research offers a scalable, economical path for deploying robot swarms in real-world environments. His achievements demonstrate a commitment to bridging theoretical swarm algorithms with tangible automation solutions, making his work valuable for students and researchers interested in robotics, artificial intelligence, and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
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