Zhiyang Guo

Guangxi University, East China University of Science and Technology, Hunan University

Papers

Total Citations

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About

Zhiyang Guo is a rising researcher at the intersection of agricultural robotics, intelligent manufacturing, and advanced tactile sensing. His work addresses critical challenges in autonomous field navigation, human-robot interaction, and industrial efficiency. Guo’s most cited paper, “Robust crop row detection using discrete Fourier transform (DFT) for vision-based in-field navigation” (2024, 10 citations), introduces a novel signal-processing approach that enables agricultural robots to navigate unstructured crop rows with high reliability, a key step toward fully autonomous farming. In parallel, his design of a “Scalable and adaptable tactile sensor array with island-bridge-form sensing units for multi-directional stimuli recognition” (2024, 5 citations) advances soft robotics by enabling robots to perceive complex contact forces—critical for delicate manipulation tasks. Most recently, Guo’s “Optimization of manipulator inverse kinematics using improved particle swarm algorithm for enhanced manufacturing efficiency” (2025, 3 citations) proposes an adaptive inertia-weight particle swarm optimizer that significantly accelerates inverse kinematics solutions, directly boosting throughput in digital manufacturing systems. With a growing citation footprint and work spanning DFT-based perception, tactile sensing architectures, and swarm intelligence optimization, Guo is establishing himself as a versatile engineer whose contributions are shaping the next generation of intelligent, field-deployable robotic systems.