Jennifer C. Dela Cruz
Papers
3
Total Citations
23
H-Index
3
About
Jennifer C. Dela Cruz is a researcher at the forefront of applying robotics and deep learning to solve critical real-world problems, particularly in agriculture and infrastructure safety. Her most impactful work addresses the dangerous task of coconut harvesting in the Philippines, where she pioneered the use of deep learning with UAV images for on-tree mature coconut fruit detection. This innovation aims to replace the perilous practice of manual climbing, potentially saving lives in a sector where fatalities are common. Beyond agriculture, Dela Cruz has made significant contributions to robotics for hazardous environments. She designed and simulated a wheeled, wall-pressed in-pipe inspection robot capable of climbing vertical pipes, a crucial tool for preventing infrastructure failures. She also developed an omni-directional robot for detecting combustible and toxic gases, designed to limit human exposure to harmful environments. With her most-cited paper accumulating 13 citations, Dela Cruz’s work demonstrates a clear commitment to engineering safer, more efficient solutions for high-risk tasks, blending practical design with advanced sensing and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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