Max Robotics — Global Service Robot Directory + US Certification

About

Xiangling Kong is a researcher specializing in agricultural robotics, precision agriculture, and autonomous systems, with a particular focus on advancing robotic solutions for strawberry field operations. Kong's work addresses critical challenges in modern agriculture, including labor shortages and the need for precise, automated crop monitoring and harvesting. Kong's most significant contribution is the development of control models and navigation systems for field scouting robots. Their most-cited work (9 citations) presents an approximated control-affine model accounting for wheel-terrain interaction, enabling more accurate robot motion control in challenging strawberry field environments. Complementing this, Kong has pioneered novel plant localization techniques using relative pixel analysis in sequential images, offering a cost-effective alternative to GPS and LiDAR-based approaches. Additional contributions include marker-based row alignment control systems and plant alive status detection methods, together forming a comprehensive framework for autonomous field robot operation. With a cumulative citation count across their published works, Kong's research demonstrates meaningful impact within the precision agriculture and agricultural robotics community. Their integrated approach — combining mechanical modeling, computer vision, and autonomous navigation — positions their work as a valuable foundation for researchers and engineers developing the next generation of smart farming technologies.