Qiao Hong is an academician of the Chinese Academy of Sciences, a member of the 14th National Committee of the Chinese People's Political Consultative Conference (CPPCC), a member of the Jiusan Society, and a researcher at the Institute of Automation, Chinese Academy of Sciences. She currently serves as the director of the National Key Laboratory of Multimodal Artificial Intelligence Systems, a member of the Central Committee of the Jiusan Society, the first and current president of the World Robot Consortium, a member of the IEEE Headquarters Fellows Committee (responsible for IEEE Fellow selection), and the director of the Robotics and Intelligence Committee of the Chinese Association of Automation. She was elected an IEEE Fellow, the first person from mainland China to be elected and re-elected as a member of the IEEE Robotics and Automation Society's Management Committee. She is invited to serve as the editor-in-chief of the international SCI journal *Robotic Intelligence and Automation*, a senior editor of IEEE/ASME T-Mech, and an editorial board member of international journals such as IEEE TNNLS and IEEE T-Cyber.
Qiao Hong is an expert and academic leader in the field of robotics theory and applications. She has long worked at the forefront of robotics research, making systematic and creative significant contributions to human-inspired robot decision-making, perception, control, and structural design. Based on the mechanism that overall human performance surpasses individual unit performance, she first discovered and proposed the high-dimensional "environmental attraction domain" method for high-precision robot operation, which was reported by international journals as "Qiao's concept." Through the reference and application of human behavior, the musculoskeletal system, and neural mechanisms, she proposed a new approach to high-performance robot operations, contributing to the promotion of high-end robot applications in my country. Her research results have been cited and successfully applied by renowned scholars in the United States, Canada, and other countries, and she won the second prize of the National Natural Science Award, the first prize of the Beijing Science and Technology Award, and the first prize of the Technological Invention Award of the Chinese Association of Automation, all ranked first.
Researcher Qiao Hong led her team to establish a robot industrialization base in Guangdong Province, carrying out research and development of unit technologies and systems such as precision assembly and high-speed sorting of industrial robots. She received honors such as the State Intellectual Property Office's Advantage Unit, Guangdong Provincial Intellectual Property Demonstration Unit, and Guangdong Provincial SME Public Service Demonstration Platform.