Papers
1
Total Citations
13
H-Index
1
About
G. Sajiv is a researcher whose work lies at the intersection of robotics, automation, and industrial systems, with a particular focus on enhancing efficiency through intelligent, microprocessor-driven solutions. Their most-cited paper, "Warehouse management system using microprocessor based mobile robotic approach" (2017, 13 citations), exemplifies their core contribution: replacing manual processes with autonomous robotic systems to optimize logistics and material handling. This work addresses the modern imperative for technical innovation, demonstrating how robotics can perform critical tasks in environments where human intervention is challenging or inefficient. Sajiv’s research is characterized by a practical, application-oriented approach, bridging hardware and software to create responsive, mobile robotic platforms. While their citation count reflects a focused, emerging impact, their work signals a commitment to solving real-world industrial problems through automation. For students and researchers exploring the integration of microprocessors in robotics for warehouse logistics, Sajiv’s studies offer a foundational perspective on how mobile robotic approaches can revolutionize supply chain management and operational productivity.
Research Focus
Key Achievements
Top Papers
- 1