Maria Fe P. Bahinting
Papers
2
Total Citations
6
H-Index
2
About
Maria Fe P. Bahinting is a robotics and computer vision researcher whose work bridges autonomous systems and real-world agricultural and environmental challenges. Her key research areas include collaborative robotics, unmanned aerial and ground vehicle (UAV-UGV) coordination, and AI-driven detection systems for precision agriculture. In her highly cited 2023 paper on ground robot detection for collaborative UAV-UGV alignment and retrieval operations, Bahinting addresses critical challenges in exploring hazardous environments like volcanoes, where drones face limited flight time and mobile robots struggle with mobility constraints—earning 4 citations for its practical impact on field robotics. Her 2024 work on a computer-vision-based detection and monitoring system for mature coconut fruits, complete with a web dashboard visualization platform, tackles the labor-intensive manual harvesting process in the Philippines, the world’s second-largest coconut producer. This system demonstrates her commitment to applying deep learning and IoT technologies to improve agricultural efficiency and safety. With a growing citation record and a focus on deploying robots in harsh or remote settings, Bahinting’s contributions are shaping the future of autonomous exploration and smart farming in developing regions.
Research Focus
Key Achievements
Top Papers
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- 2