Development advances in high-throughput automated modeling labs

Jun Liu1*

1School of Physics, Beijing Institute of Technology, Beijing 100081, China

EXTENDED ABSTRACT: Through the collaborative work of six-axis robot, Automated Guided Vehicle, automated feeding detection system, central control system,using software technology, data processing, etc., we provides a set of intelligent unmanned laboratory system for scientific research laboratories. The system is achievable fully automated multi-factor model experiments through parameter setting at the central control tern血al. Programmable intelligent operating system, so that the experimental conditions are more accurate, the results are more reliable, labor-free, no contact with chemical reagents, the whole process to complete the experimental route. It is a high-tech application based on fully automated laboratories.

Keywords:Unmanned laboratory; High throughput; Multi-factor models; Programmable; Free from contact 

Brief Introduction of Speaker
Jun Liu

Jun Liu, founder of Yile Company. He led the team to develop a variety of international pioneering intelligent analysis robots. He graduated from East China University of Technology in 2001. Familiar with the performance and application of various synthetic or analytical instruments. In 2014, Shanghai Yile Intelligent Instnunent Co., Ltd. was established. In 2014, he presided over the development of fully automatic multi-parameter analysis robot products. The technological innovation fund of Shanghai technology-based small and medium-sized enterprises has been created for many times, which belongs to the Shanghai industry, university and research project (the study on IUR cooperation). In 2016, he presided over the industry­university-research cooperation development project "Research on the Control of Reducing Pollutant Concentrations of Permanganate in the Detection Environment"; And developed a fully automatic permanganate index analysis robot. In 2018, he presided over the Shanghai Science and Technology SME Technology Innovation Project "COD On-site Rapid Detection and Solution Technology Solution". In 2018, he presided over the research and application of ordinary CMOS sensors for automatic color discrimination titration in a non-anechoic enviromnent of the industry-university-research cooperation development project in Minhang District, Shanghai. In 2019, he led and developed a fully automated soil organic matter analysis robot.