P Aswathi
Papers
1
Total Citations
9
H-Index
1
About
P Aswathi is a researcher focused on advancing robotic systems for humanitarian demining, with a particular emphasis on machine learning approaches to landmine detection. Her most cited work, "Identification of an effective learning approach to landmine detection" (2017, 9 citations), addresses the critical challenge of distinguishing landmines from clutter in robot-based detection systems. This research tackles the multiphase problem of classification, carefully balancing competing factors such as the catastrophic failure to detect a landmine against detection time and false alarm rates. Aswathi's contributions lie in developing efficient classification models that optimize this trade-off, directly impacting the safety and effectiveness of autonomous demining operations. Her work sits at the intersection of robotics, pattern recognition, and humanitarian technology, aiming to reduce the risks faced by human deminers while improving clearance rates in post-conflict zones. Though her citation count is modest, the practical implications of her research are significant—each improvement in detection accuracy can save lives in mine-affected regions. Aswathi's focus on real-world constraints makes her work valuable for researchers developing deployable robotic solutions for hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1Identification of an effective learning approach to landmine detection9 citations · 2017