Narra Sai Krishna
Papers
1
Total Citations
3
H-Index
1
About
Narra Sai Krishna is a robotics researcher whose work focuses on the control and application of mobile robotic systems, particularly for surveillance and autonomous navigation. His key research areas include kinematic and dynamic modeling of skid-steered robots, controller design, and mapping for real-world deployment. In his most cited work, "Controller Design for a Skid-Steered Robot and Mapping for Surveillance Applications" (2017), Krishna addresses the fundamental challenge of motion and pose estimation in skid-steered platforms—robots whose robust structure makes them ideal for outdoor use but whose inherent sliding and rolling during curvilinear motion complicates accurate modeling. By developing improved control strategies, his research enhances the reliability of these robots in surveillance tasks, bridging the gap between theoretical modeling and practical field performance. With 3 citations, this work has laid a foundation for further studies in outdoor mobile robotics. Krishna’s contributions are notable for tackling a persistent problem in robotics: achieving precise motion control despite the complex dynamics of non-holonomic systems. His work is particularly valuable for students and researchers interested in field robotics, control theory, and the integration of mapping algorithms for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1