Regular biography
Liang Gong is a researcher with a strong focus on robotics, automation, and their applications in agriculture and human-robot interaction. His work spans a wide range of topics, including robotic harvesting, autonomous vehicle testing, precision agriculture, and machine learning for agricultural tasks. He has made significant contributions to the development of intelligent systems for agricultural environments, such as robotic fruit harvesting, path planning for agricultural robots, and real-time dynamic planning for wireless charging. His research also includes the integration of multi-omics data for crop breeding and the design of human-robot interaction systems for field phenotyping. Liang Gong has published extensively in top-tier journals and conferences, including IEEE Transactions on Human-Machine Systems, IEEE Transactions on Intelligent Vehicles, and the International Journal of Measurement Science and Technology. He has also been involved in several funded projects, including those supported by the National Natural Science Foundation of China and other research grants.