Prof. Bingliang Ye | Robotics in Agriculture | Best Researcher Award 

Professor, Zhejiang Sci-Tech University, China

Prof. Bingliang Ye is a distinguished Doctor of Engineering, Professor, and Doctoral Supervisor at the Key Laboratory of Transplanting Equipment and Technology of Zhejiang Province, Hangzhou, China, recognized for his pioneering contributions in mechanical design optimization, intelligent robotics, agricultural automation, and AI-integrated machinery. He has a strong academic foundation with a Doctor of Engineering degree, which underpins his expertise in designing adaptive mechanisms, multi-linkage systems, and optimized mechanical structures free from kinematic defects. Over his career, Prof. Ye has developed and led numerous research projects with both national and international collaboration, focusing on the integration of artificial intelligence, multi-objective optimization, and robotics in precision agriculture and industrial automation. His professional experience encompasses academic leadership, mentorship of doctoral students, and guiding interdisciplinary research teams toward innovative solutions for mechanized harvesting, planting, and intelligent control systems. His research interests include mechanism synthesis, optimization algorithms, AI-guided robotics, multi-target design, and intelligent agricultural equipment development, and he demonstrates advanced research skills in computational modeling, kinematic simulation, mechanical optimization, algorithm development, and system integration. Prof. Ye’s scholarly output is extensive, with 61 Scopus-indexed publications, over 998 citations, and an h-index of 21, featuring contributions to high-impact journals such as Mechanism and Machine Theory, Journal of Field Robotics, International Journal of Agricultural and Biological Engineering, and Information Technology and Control.

Profiles: Scopus | Orcid 

Featured Publications

• Ye, B., et al. (2025). Integrated optimization synthesis of linkage mechanism structures and dimensions free from kinematic defects. Mechanism and Machine Theory.

• Ye, B., et al. (2025). Improved YOLOv8n based lotus seedpod detection algorithm. Information Technology and Control.

• Ye, B., et al. (2025). New automatic sketching method for planetary gear train. Proceedings of the Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering Science.

• Ye, B., et al. (2025). Optimization design and testing of the under-actuated lotus seedpod harvesting grasping mechanism. Journal of Field Robotics.

• Ye, B., et al. (2025). Design and experiment of a vegetable plug seedling planting mechanism combining non-circular gear system and multi-link. International Journal of Agricultural and Biological Engineering.