Jianhuan Chen

Shanghai Jiao Tong University, South China Agricultural University

Papers

Total Citations

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About

Jianhuan Chen is a rising researcher in agricultural robotics and cable-driven mechanisms, whose work bridges automation and practical field applications. His primary research areas include robotic path planning for complex environments, tensegrity-based robot design, and under-constrained parallel mechanisms. Chen’s most notable contribution is the development of a workspace decomposition-based path planning algorithm for fruit-picking robots in greenhouses, which addresses the challenge of navigating cluttered, dynamic spaces—a paper that has already garnered 27 citations since 2023. He also designed a flexible struts V-expander tensegrity robot capable of navigating pipes, showcasing innovation in soft robotics and adaptability, with 14 citations in 2024. Additionally, his solution to geometrico-static problems for a suspended under-constrained parallel mechanism driven by two flexible cables, paired with motion experiments, has earned 7 citations. Chen’s work is characterized by its focus on real-world deployment, from harvesting to inspection, and his ability to integrate theoretical mechanics with hardware design. His achievements highlight a promising trajectory in advancing robotic systems for agriculture and infrastructure, making him a notable figure for students interested in applied robotics and mechanism design.