Guanyu Zhang

Jilin University, Jilin Medical University

Papers

Total Citations

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About

Guanyu Zhang is a robotics researcher whose work focuses on advancing autonomous operation, perception, and energy-efficient motion planning for robotic systems. His key research areas include multi-DOF robotic arm control, simultaneous localization and mapping (SLAM), and deep learning-based trajectory optimization. Zhang’s most cited paper, “Autonomous Operation Method of Multi-DOF Robotic Arm Based on Binocular Vision” (2019, 13 citations), addresses critical limitations in robotic arm autonomy—such as poor universality and low robustness—by integrating binocular vision for improved adaptability in real-world tasks like fruit picking and assembly. More recently, his work on FLARE-SLAM (2025, 2 citations) introduces a multi-sensor fusion algorithm that enhances 3D LiDAR mapping in complex environments by improving feature extraction and signal stability. Additionally, his 2025 study on energy-efficient human-like trajectory planning for wheeled robots (1 citation) leverages a CNN with multi-dimensional attention to reduce energy consumption in unstructured urban settings. Through these contributions, Zhang demonstrates a commitment to bridging perception, control, and efficiency—pushing the boundaries of practical robotics for inspection, manipulation, and autonomous navigation.