Yuanhao Cheng

Xi'an Jiaotong University, Wenzhou University

Papers

Total Citations

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About

Yuanhao Cheng’s research bridges bio-inspired robotics and precision agriculture, with a focus on designing intelligent systems for real-world applications. His work on the optimal design of a parallel bionic eye mechanism, published in 2019 and cited 12 times, lays foundational principles for robotic vision systems that mimic natural eye movements, enhancing stability and range of motion. More recently, Cheng has advanced agricultural automation with his 2025 study on EDT-YOLOv8n-based lightweight detection of kiwifruit in complex environments. This work, already garnering 6 citations, tackles critical challenges in automated harvesting—specifically, the constraints of limited computational resources on robots and occlusions among fruits. By developing a streamlined detection model, Cheng enables more efficient and accurate fruit identification, directly supporting the deployment of harvesting robots in real orchards. His contributions demonstrate a clear trajectory from theoretical mechanism design to applied computer vision, addressing pressing issues in both robotics and agriculture. Cheng’s research not only advances bionic engineering but also offers practical solutions for sustainable farming, making him a notable figure in the intersection of robotics and precision agriculture.