Wenwen Gong

Papers

Total Citations

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About

Wenwen Gong is a researcher in agricultural robotics and intelligent control systems, with a focus on automating field operations through advanced navigation and cloud-based technologies. Her most cited work, "Field Environment Intelligent Navigation System for Tomato Transportation Robot Based on Dijkstra" (2019, 4 citations), introduces a path-planning solution that adapts the Dijkstra algorithm to the dynamic, unstructured conditions of agricultural fields, enabling a tomato transportation robot to navigate efficiently and avoid obstacles in real time. This contribution addresses a critical bottleneck in horticultural automation—reliable, low-cost navigation for harvest logistics. Building on this, Gong’s "Cloud-Based AGV Control System" (2020, 2 citations) explores how centralized cloud computing can coordinate multiple automated guided vehicles, reducing onboard processing demands and enabling scalable fleet management. While her citation counts are modest, her work is notable for bridging classical algorithms with emerging cloud architectures in agriculture, a field where practical, deployable solutions are highly valued. Gong’s research offers a foundation for students and engineers interested in the intersection of robotics, path optimization, and IoT-driven automation for food production.