Vikramkumar Pudi
Papers
1
Total Citations
22
H-Index
1
About
Vikramkumar Pudi is a researcher whose work lies at the intersection of robotics, embedded systems, and sensor optimization. His most-cited paper, "CORDIC-Based Azimuth Calculation and Obstacle Tracing via Optimal Sensor Placement on a Mobile Robot" (2015, 22 citations), addresses a critical challenge in emergency informatics: enabling autonomous robots to perform real-time data collection under severe hardware constraints. In this work, Pudi investigates how to efficiently calculate azimuth and trace obstacles using CORDIC algorithms while strategically placing sensors to maximize performance within strict space, weight, and height limitations. This contribution is particularly valuable for search-and-rescue operations, where robots must navigate unpredictable environments with minimal onboard resources. By bridging algorithmic efficiency with practical hardware design, Pudi has helped advance the deployment of compact, reliable mobile robots in life-saving scenarios. His research continues to influence the development of resource-constrained autonomous systems, demonstrating how thoughtful sensor integration and computational methods can overcome real-world operational challenges.
Research Focus
Key Achievements
Top Papers
- 1