I. Ashokaral
Papers
1
Total Citations
2
H-Index
1
About
I. Ashokaral’s research focuses on deterministic approaches to mobile robot localization and navigation, particularly through the application of interval analysis. In their most-cited work, "Robot localisation using interval analysis" (2004), Ashokaral introduced a sensor-based method that leverages ultrasonic sensors and a known 2D map to achieve reliable robot positioning. This approach stands out for its mathematical rigor, offering a deterministic alternative to probabilistic methods common in robotics. Although the paper has garnered 2 citations, its conceptual contribution lies in demonstrating how interval analysis can handle uncertainty in sensor data without relying on stochastic models. Ashokaral’s work is notable for bridging theoretical mathematics and practical robotics, providing a foundation for further exploration in deterministic localization. While the citation count is modest, the research reflects a focused effort to enhance navigation accuracy in structured environments, appealing to students and researchers interested in sensor fusion, interval methods, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Robot localisation using interval analysis2 citations · 2004