Ramya Ramedeverahalli Umamaheshwarappa
Papers
1
Total Citations
8
H-Index
1
About
Ramya Ramedeverahalli Umamaheshwarappa is a researcher focused on swarm robotics, with a particular emphasis on bridging the gap between simulation and real-world robotic implementations. Her key research areas include multi-robot systems, target-searching algorithms, and the practical deployment of low-cost robotic platforms. Her most notable contribution, detailed in her 2018 paper "Comparison of a Real Kilobot Robot Implementation With its Computer Simulation Focussing on Target-Searching Algorithms," demonstrates the critical validation of swarm algorithms by transitioning from the V-REP simulator to physical Kilobots. In this work, she successfully implemented a search-and-surround algorithm using ten real Kilobots—one acting as a target and nine as searchers—proving that simulation-based strategies can be reliably executed on actual hardware. This study, which has garnered 8 citations, provides essential insights for researchers developing scalable, decentralized robotic systems. By systematically comparing simulated and real-world performance, Umamaheshwarappa’s work offers a valuable methodology for ensuring that theoretical swarm algorithms remain robust when deployed in physical environments, making her research particularly relevant for advancing practical applications in collective robotics.
Research Focus
Key Achievements
Top Papers
- 1