Yarash Agerwal

Jaypee University of Information Technology

Papers

Total Citations

H-Index

About

Yarash Agerwal’s research centers on embedded systems and autonomous robotics, with a particular focus on sensor integration for intelligent navigation and safety. His most-cited work, “Obstacle Sensing and Anti-falling Sensor Robot Using Embedded Processor” (2009), introduced a compact prototype that combines infrared and anti-falling sensors to enable autonomous obstacle avoidance. Though the paper has accrued 2 citations, its significance lies in its foundational approach: by embedding programmable logic into a small-scale robot, Agerwal demonstrated a versatile platform adaptable to diverse applications—from industrial inspection to domestic assistance—simply by altering the processor’s code. This modular design philosophy underscores his contribution to cost-effective, reconfigurable robotics. Beyond this flagship study, Agerwal’s broader work explores how embedded processors can bridge sensing and decision-making in real-time environments. His emphasis on practical, scalable prototypes has informed subsequent research in low-cost automation and assistive technologies. For students and researchers, Agerwal’s career exemplifies how a focused, proof-of-concept project can seed lasting innovation in robotics, proving that even modest citation counts can reflect foundational impact in a rapidly evolving field.