Jajimoggala Sravanthi
Papers
1
Total Citations
5
H-Index
1
About
Jajimoggala Sravanthi is a researcher whose work lies at the intersection of robotics, hardware design, and swarm intelligence. Her key research areas include FPGA-based robotic systems, real-time indoor navigation, and behavioral control algorithms. Her most notable contribution is the development of a hardware-efficient scheme for multi-robot coordination in indoor environments, integrating Practical Swarm Optimization (PSO) algorithms to address the uncertainty of navigating from a start point to a goal. This work, published in 2015 and cited 5 times, demonstrates her ability to tackle the challenges of robust, real-time control in constrained hardware settings. By leveraging FPGA technology, Sravanthi has advanced the practicality of swarm robotics, offering a scalable solution for dynamic indoor scenarios. Her research is particularly valuable for students and engineers exploring low-latency, resource-efficient approaches to autonomous multi-agent systems. While her citation count is modest, the foundational nature of her work highlights its potential for future impact in embedded robotics and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1