Anju S. Pillai
Papers
5
Total Citations
52
H-Index
4
About
Anju S. Pillai is a robotics and automation researcher whose work bridges agricultural engineering, artificial intelligence, and embedded systems. Her primary research focuses on developing autonomous robotic solutions for agricultural applications, particularly in paddy field management. Pillai's most significant contribution is an optimized offline-coverage path planning algorithm for multi-robot weeding in paddy fields (2023, 25 citations), which addresses the critical challenge of efficient area coverage in cyclical agricultural environments. She also designed an innovative in-row weeding robot with novel wheel assembly and angle adjustment mechanisms specifically for slurry paddy fields (2022, 6 citations), demonstrating practical engineering solutions for challenging terrain. Beyond agriculture, Pillai has explored path planning for unmanned ground vehicles using priority-based exploration algorithms (2014, 12 citations) and applied transfer learning to develop an AI-powered trash classification system for lakes and water bodies (2024, 7 citations), showcasing her versatility in addressing environmental challenges. Her earlier work on dynamic frequency scaling for energy consumption reduction in embedded systems (2014, 2 citations) reveals a foundational interest in power-aware computing. With a career spanning over a decade, Pillai continues to advance autonomous systems that enhance agricultural efficiency and environmental sustainability.
Research Focus
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Top Papers
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