Daniel Udekwe

Papers

Total Citations

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About

Daniel Udekwe is a pioneering researcher at the intersection of agricultural robotics and immersive technology. His work focuses on developing virtual reality (VR)-enabled teleoperation systems that allow humans to remotely control robots for precision agriculture. Udekwe’s major contributions include demonstrating the feasibility of using VR interfaces for complex tasks like strawberry cultivation in greenhouses, where real-time haptic feedback and 3D visualization improve operator efficiency and reduce crop damage. His most-cited paper, "Human robot interaction for agricultural Tele-Operation, using virtual Reality: A feasibility study" (2024, 13 citations), established foundational principles for remote human-robot collaboration in farming. A follow-up study (2025, 4 citations) further validated these methods in real-world greenhouse environments. Udekwe’s work addresses critical challenges in labor shortages and agricultural sustainability, offering scalable solutions for precision farming. His research has been recognized for bridging the gap between advanced robotics and practical agricultural applications, making him a notable figure in the emerging field of agri-robotics.